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data analyst/fm product consultant Jobs in Indianapolis

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data engineer - remote, usa Jobs in Indianapolis

data engineer - remote, usa

data scientist – drug delivery device development Jobs in Indianapolis

machine learning (ml) / data engineer Jobs in Indianapolis

machine learning (ml) / data engineer

data scientist

Eli Lilly

<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
Organization and Position Overview:
Delivery, Devices, and Connected Solutions (DDCS) sits within Eli Lilly's Product Research &amp; Development organization. We are a diverse team of scientists and engineers responsible for discovering, designing, and developing patient-centric drug delivery solutions across a broad range of modalities &mdash; from injection devices to novel routes of administration and nanomedicines. DDCS drives the drug delivery innovation agenda across early and late development to meet the needs of an expanding portfolio that spans small molecules, biologics, and nucleic acid therapeutics. 
 
DDCS is organized around a matrix model with strong disciplinary and functional horizontals supporting innovation and commercialization verticals. Our vision is to get our medicines to more patients faster by accelerating reach and scale, guided by three strategic pillars: Delivery Systems, Robust &amp; Sustainable, and Patient Experience + Outcomes. 
The Data Science horizontal within DDCS generates actionable scientific and business insights that accelerate innovation and de-risk commercialization across the DDCS matrix. Data scientists operate at the intersection of device engineering, drug delivery science, clinical evidence, and AI&mdash;partnering with AI application engineers, scientific ML specialists, and data engineers to build end-to-end analytical capabilities that directly shape product design decisions, device performance optimization, and patient outcome strategies.
We are seeking an exceptional Data Scientist to join DDCS's data science team. This role leverages internal and external data to generate actionable scientific and business insights that drive innovation in drug delivery technologies. The ideal candidate combines deep analytical expertise with strong business acumen to identify high-value use cases, develop data-driven solutions, and communicate compelling data stories to senior leadership. You will play a pivotal role in influencing product design decisions, optimizing device performance, and advancing DDCS's mission to improve patient outcomes through innovative drug delivery systems&mdash;operating as a key horizontal contributor within the DDCS matrix.
Responsibilities:
Use Case Identification &amp; Solution Development<ul><li>
Partner with engineers, scientists, and business stakeholders across innovation and commercialization verticals to understand needs and opportunities across the product lifecycle.</li><li>
Identify and prioritize high-impact use cases for data-driven solutions in formulation optimization, device design, quality assurance, and patient adherence.</li><li>
Design and implement analytical frameworks and predictive models to address specific business questions and technical challenges.</li><li>
Develop statistical models, machine learning algorithms, and simulation tools to support decision-making in research, development, and commercialization.</li></ul> 
Scientific &amp; Business Insights Generation<ul><li>
Analyze complex datasets from laboratory experiments, clinical studies, manufacturing processes, device sensors, and real-world evidence to extract meaningful scientific and business insights.</li><li>
Investigate device performance characteristics, patient usage patterns, drug stability, and delivery accuracy to identify opportunities for product improvement and innovation.</li><li>
Conduct exploratory data analysis to uncover trends, patterns, and anomalies that inform research priorities and strategic decisions.</li><li>
Synthesize findings from multiple data sources to provide holistic perspectives on device efficacy, safety, and market performance.</li></ul> 
Predictive Modeling &amp; Advanced Analytics<ul><li>
Build, validate, and deploy predictive models for device performance forecasting, failure mode prediction, patient outcome estimation, and quality control optimization.</li><li>
Apply statistical methods including regression analysis, hypothesis testing, survival analysis, and Bayesian inference to experimental and observational data.</li><li>
Collaborate with AI application engineers and scientific ML specialists to develop advanced models including deep learning, NLP, and computer vision applications.</li><li>
Implement model monitoring and performance tracking to ensure continued accuracy and reliability in production.</li></ul> 
Data Storytelling &amp; Leadership Communication<ul><li>
Translate complex analytical findings into clear, compelling narratives that resonate with both technical and non-technical audiences.</li><li>
Create executive-ready visualizations, dashboards, and presentations that communicate insights and recommendations to senior leadership.</li><li>
Present data-driven recommendations to influence product design, development strategies, and investment decisions across the DDCS matrix.</li><li>
Develop business cases with quantitative evidence to support new initiatives, process improvements, and strategic pivots.</li></ul> 
Cross-Functional Collaboration<ul><li>
Work closely with data engineers to define data requirements, ensure data quality, and access appropriate data infrastructure.</li><li>
Collaborate with AI application engineers to transition models from research to production environments.</li><li>
Partner with clinical, regulatory, and quality teams to ensure analytical approaches align with compliance requirements and industry standards.</li><li>
Support research scientists and engineers by providing statistical consultation and analytical expertise.</li></ul> 
Data Strategy, Innovation &amp; Mentorship<ul><li>
Stay current with emerging analytical techniques, machine learning methods, and industry trends in medical device development and digital health.</li><li>
Identify opportunities to apply novel analytical approaches to solve longstanding challenges in drug delivery device development.</li><li>
Contribute to best practices, methodologies, and capabilities within the DDCS data science horizontal.</li><li>
Mentor junior team members and promote a culture of data-driven decision-making across the DDCS matrix.</li></ul>
Basic Requirements:<ul><li>
PhD in Statistics, Biostatistics, Data Science, Computer Science, Computational Biology, Engineering, Physics, Applied Mathematics, or a related quantitative field</li><li>
Experience conducting independent research and developing novel analytical approaches, with demonstrated research excellence through publications, dissertations, or equivalent scholarly work,.</li><li>
Proficiency in Python, R, and/or ML frameworks (i.e. PyTorch, TensorFlow, scikit-learn) and visualization tools (i.e. Tableau, Power BI).</li><li>
Cross-functional collaboration and influence within a matrixed model</li><li>
Regulatory awareness and compliance mindset in GxP/GMP environments</li></ul>
Additional Preferences:
<ul><li>Post-PhD experience in pharmaceutical, biotechnology, medical device, or healthcare industries.</li><li>
Strong foundation in statistical analysis, machine learning, deep learning, and data manipulation through doctoral research or professional experience.</li><li>
Proven ability to work with complex, multi-dimensional datasets and translate analytical findings into actionable recommendations.</li><li>
Understanding of drug delivery mechanisms, pharmacokinetics, and device engineering principles.</li><li>
Experience with clinical trial design, analysis, and interpretation (adaptive designs, survival analysis, patient-reported outcomes).</li><li>
Analytical depth: statistical modeling, machine learning, and advanced data analysis</li><li>
Scientific curiosity and ability to formulate rigorous analytical questions from complex device/drug delivery problems</li><li>
Exceptional data storytelling: translating complex findings into executive-ready insights</li><li>
Strategic business acumen: connecting analytical work to portfolio and program decisions</li><li>
Mentorship and knowledge-sharing orientation</li></ul>
Other Information:<ul><li>
Travel up to 10%</li><li>
Location: Indianapolis, IN; Lilly Technology Center &ndash; North (LTC-N)</li></ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$126,000 - $204,600
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>

Data Scientist – Drug Delivery Device Development

Bluelight Consulting

<div><div><div>Bluelight Consulting is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.</div><div></div><div> 
We are looking for a skilled individual to join our rapidly growing team at Bluelight Consulting. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. We value continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development. If you are passionate about software development and eager to be part of a growing software consultancy, we invite you to apply and join us on this exciting journey.</div></div>
<div><div><h3 class="jobSectionHeader">What we are looking for</h3><ul><li><ul><li>
Experience with AWS services including but not limited to S3, Athena, EC2, EMR, and Glue.</li><li>
Ability to solve any ongoing issues with operating the cluster.</li><li>
Experience with the integration of data from multiple data sources.</li><li>
Experience with various database technologies such as SQLServer, Redshift, Postgres, and RDS.</li><li>
Experience with one or more of the following data integration platforms: Pentaho Kettle, SnapLogic, Talend OpenStudio, Jitterbit, Informatica PowerCenter, or similar.</li><li>
Knowledge of best practices and IT operations in an always-up, always-available service.</li><li>
Experience with or knowledge of Agile Software Development methodologies.</li><li>
Excellent problem-solving and troubleshooting skills.</li><li>
Excellent oral and written communication skills with a keen sense of customer service.</li><li>
Experience with collecting/managing/reporting on large data stores.</li><li>
Awareness of Data governance and data quality principles.</li><li>
Well versed in Business Analytics including basic metric building and troubleshooting.</li><li>
Understand Integration architecture: application integration and data flow diagrams, source-to-target mappings, data dictionary reports.</li><li>
Familiar with Web Services: XML, REST, SOAP.</li><li>
Experience with Git or similar version control software.</li><li>
Experience with integrations with and/or use of BI tools such as GoodData (Prefered), Tableau, PowerBI, or similar.</li><li>
Broad experience with multiple RDBMS: MS SQLServer, Oracle, MySQL, PostgreSQL, Redshift.</li><li>
Familiarity with SaaS/cloud data systems (e.g. Salesforce).</li><li>
Data warehouse design: star-schemas, change data capture, denormalization.</li><li>
SQL/DDL queries/Tuning techniques such as indexing, sorting, and distribution.</li><li>
BS or MS degree in Computer Science or a related technical field.</li><li>
3+ years of Data Pipeline development such as SnapLogic or Datastage, Informatica, or related experience.</li><li>
3+ years of SQL experience (No-SQL experience is a plus).</li><li>
Experience designing, building, and maintaining data pipelines.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader">Company Benefits</h3><ul><li><ul><li>
Competitive salary and bonuses, including performance-based salary increases.</li><li>
Generous paid-time-off policy</li><li>
Technology / Office stipend</li><li>
Health Coverage</li><li>
Flexible working hours</li><li>
Work remotely</li><li>
Continuing education, training, conferences</li><li>
Company-sponsored coursework, exams, and certifications</li></ul></li></ul></div></div>
<div><div>Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business.</div><div>
You will have the opportunity to work on a variety of projects for our incredible clients, which will accelerate your career growth. You&rsquo;ll collaborate with modern technologies and work alongside some of the best professionals in the industry!</div><div>
If you&rsquo;re eager to be part of an exciting, challenging, and rapidly growing consultancy, we encourage you to apply. #LI-Remote</div></div></div>

Data Engineer - Remote, USA

Moser Consulting

<div>
 About Moser
 
 For more than 25 years we have formed partnerships and grown through open and honest collaboration with our clients, partners, and employees. We are best known for taking great care of our clients, our dedication to creating a work environment where employees do their best work, and our deep commitment to continuous improvement. Our consultants work in a collaborative and fast-paced environment, are self-motivated, and are passionate about evolving technology. It is no accident that we are recognized as one of the Best Places to Work in Indiana for 10 consecutive years.
 
 
 Internally, we believe in building strong teams from the top down with a focus on values in our Model-Coach-Care philosophy. Our leadership are encouraged and trained to model good practices, mentor other employees and each other, and show empathy and caring in all interactions. This is the base of our core values: Accountability, Balance, Collaboration, Focus, Integrity, Social Responsibility, Support and Transparency.
 
 
 Moser Consulting believes in equal opportunity for all people and is committed to enabling a diverse, equitable, and inclusive culture. We foster a spirit of unity that respects the remarkable individuality of everyone's culture, history, and service.
 
 Description
 
 We are seeking an AI/ML/Data engineer with several years of technical experience building production-grade solutions. This role blends AI/ML engineering, data engineering, and software engineering to support clients across a variety of industries. You will deliver within cloud, on-prem, or hybrid environments (depending on client content) to engineer, deploy, and maintain end-to-end AI/ML systems. You will collaborate with a technical lead, engineers, analysts, and domain stakeholders while building reusable patterns and contributing to a growing Data Intelligence capability.
 
 Role Responsibilities
 
 
 
 Artificial Intelligence / Machine Learning Engineering:
 
 
 
 <ul>
 <li>
 Design, implement and deploy production-grade machine learning models and systems using modern MLOps practices. Deliverables will span from classical ML to Gen AI.
 </li>
 <li>
 Prepare datasets, feature pipelines, evaluation scaffolding, experiment tracking, and model packaging.
 </li>
 <li>
 Implement model inference services, deployment workflows, and monitoring mechanisms.
 </li>
 <li>
 Projects may range from data ingestion and transformation to model serving and application integration.
 </li>
 <li>
 Responsibilities will include debugging, performance tuning, and failure analysis across data and model layers.
 </li>
 <li>
 Collaborate with domain experts to translate analytical requirements into highly performant ML services and reusable solution patterns.Implement model governance and reproducibility standards, ensuring models are versioned.
 </li>
 </ul>
 
 
 
 Data Engineering:
 
 
 
 <ul>
 <li>
 Build ingestion, transformation, and storage pipelines for analytical and ML workflows.
 </li>
 <li>
 Ensure data quality and integrity by implementing data validation and cleansing processes.
 </li>
 <li>
 Tasks may involve evaluating tradeoffs among tools, architectures, and modeling approaches.
 </li>
 <li>
 Leveraging SQL and python data tooling develop scalable, optimized ETL/ELT pipelines to ingest, transform, and load large, complex datasets from disparate sources (batch and streaming). Streamlining for low latency, high throughput and cost-efficiency.
 </li>
 </ul>
 
 
 
 Software Engineering:
 
 
 
 <ul>
 <li>
 Write modular, testable, and maintainable codebases that follow idiomatic patterns.
 </li>
 <li>
 Build APIs, services, and components that integrate models into applications.
 </li>
 <li>
 Use containers, CI/CD (defining, maintaining), and automated testing to ensure reliability.
 </li>
 <li>
 Documentation will include diagrams, reasoning, assumptions, and operational instructions.
 </li>
 </ul>
 
 
 
 Collaboration &amp; Communication:
 
 
 
 <ul>
 <li>
 Work closely w/ a technical lead or senior consultant to align execution with architectural direction and best practices.
 </li>
 <li>
 Proven ability to collaborate effectively with cross-functional teams to understand business requirements and translate them into technical solutions.
 </li>
 <li>
 Proven ability to foster a collaborative and positive team environment, contributing to team success.
 </li>
 <li>
 Proven ability to explain complex concepts to non-technical collaborators.
 </li>
 <li>
 Proven ability to break down requirements into clear actionable steps.
 </li>
 <li>
 Ability to work with clients to ensure smooth and successful implementation, delivery and deployment of AI/ML and other relevant data solutions.
 </li>
 <li>
 Communication and collaboration: Excellent verbal and written communication skills.
 </li>
 </ul>
 Requirements
 <ul>
 <li>
 Communication and collaboration: Excellent verbal and written communication skills.
 </li>
 <li>
 A solid understanding of statistical analysis, data modeling and data visualization techniques.
 </li>
 <li>
 Excellent time management and organizational skills.
 </li>
 <li>
 Advanced proficiency in SQL; expertise in performance tuning and optimization of SQL queries required.
 </li>
 <li>
 Strong understanding of ETL/ELT fundamentals and orchestration tools.
 </li>
 <li>
 Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
 </li>
 <li>
 Proficiency in Python and SQL with strong grounding in data structures and software fundamentals.
 </li>
 <li>
 Strong understanding of software engineering practices including version control, testing, module design, and code clarity.
 </li>
 <li>
 Expertise in ML, MLOps, and applied AI in production environments.
 </li>
 <li>
 Location: Indianapolis, IN. United States required.
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Bachelor's, Master's, or Ph.D. degree in Computer Science, Data Science, or a related field.
 </li>
 <li>
 Minimum 3 - 5 years of experience working with Machine Learning models.
 </li>
 <li>
 Must be able to operate effectively in secure, high-compliance, or limited-tooling environments (e.g. no code assistants, on-prem pipelines, locked-down VMs).
 </li>
 <li>
 Demonstrated ability to adapt quickly to new technology stacks and client-specific coding standards.
 </li>
 <li>
 Working knowledge of ML frameworks and libraries, such as: PyTorch, TensorFlow, and scikit-learn.
 </li>
 <li>
 Analytical mindset: Strong problem-solving skills, with the ability to analyze complex data and derive actionable insights.
 </li>
 <li>
 History of designing idempotent data workflows that can gracefully handle failures and restarts without data duplication or corruption.
 </li>
 <li>
 Proven expertise in at least one major cloud platform (AWS, Azure, Snowflake or GCP) utilizing services for compute, data warehousing.
 </li>
 <li>
 History in leverage enterprise platforms (e.g., AI Foundry or similar) to securely containerize and deploy models, ensuring robust endpoint protection, managed identity access, and compliance with organizational security standards.
 </li>
 <li>
 Relevant Certifications are beneficial.
 </li>
 </ul>
 Where You'll Work
 
 You will need to be able to work a hybird/onsite schedule out of the Indianapolis, IN area. This position would sit at a client site up to 3 days a week.
 
 Salary
 
 At Moser Consulting, we believe in pay transparency and fairness. The $120k-$155k salary range for this role is not just a number&mdash;it&rsquo;s a reflection of the value we place on the skills and experience our employees bring to our team. We are committed to offering a competitive salary that aligns with the industry standards and the unique competencies you bring to our community.
 
 Benefits
 
 For over a quarter of a century, Moser Consulting has been a beacon for top-tier IT talent who excel in self-management. Our people are our greatest asset. We don&rsquo;t just hire the best&mdash;we welcome them into our family, connect them with opportunities, and empower them to create innovative solutions to technology challenges.
 
 
 Our unique culture is our competitive edge. It fosters happiness, health, and low stress, even in an industry known for its demands. This is why we&rsquo;re consistently recognized as one of the Best Places to Work in Indiana. We provide our employees with an inspiring workspace, a fun and collaborative atmosphere, and a generous compensation package. But that&rsquo;s not all.
 
 
 We also offer a suite of benefits designed to support and enrich our employees&rsquo; lives. These include:
 
 <ul>
 <li>
 Training Opportunities: We believe in lifelong learning and provide numerous avenues for skill enhancement.
 </li>
 </ul>
 <ul>
 <li>
 Fully Invested 401K Plan: We help secure your future with a fully invested 401K plan.
 </li>
 </ul>
 <ul>
 <li>
 PPO and HDHP Medical Plans: Choose the health insurance program that best fits your needs.
 </li>
 </ul>
 <ul>
 <li>
 Employer-Paid Dental and Vision Plans: We cover dental and vision plans, ensuring our employees have access to comprehensive health care.
 </li>
 </ul>
 <ul>
 <li>
 Onsite Fitness Center: Stay fit and healthy with our state-of-the-art fitness center.
 </li>
 </ul>
 <ul>
 <li>
 Wellness Program: We promote a healthy lifestyle with our wellness program.
 </li>
 </ul>
 <ul>
 <li>
 Catered Lunches: Enjoy delicious catered lunches regularly.
 </li>
 </ul>
 
 At Moser Consulting, we don&rsquo;t just offer jobs&mdash;we offer careers, growth, and a chance to join a thriving community. Come, be a part of our family.
 
 
 Moser Consulting is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a professional.
 
</div>

Machine Learning (ML) / Data Engineer

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Data
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
The Lead Insights Analyst for the Cloud Success Insights Team is a crucial role responsible for delivering data-driven actionable insights and strategic recommendations that empower Cloud Leaders to drive various programs within Customer Success. This role will involve providing dedicated analytics support to a specific cloud team, and to do so, collaborating with different teams within CSG will be needed.
 
 
The Lead Insights Analyst should demonstrate versatility in tackling a diverse range of problem statements, encompassing in-depth analysis, strategic planning, forecasting, data visualization, and effective presentation, all while maintaining a proactive attitude towards embracing new challenges.
 
 
This is an individual contributor role, which has high visibility and delivers business impact. The role requires timely responses to questions raised by senior leaders. This sometimes requires a flexible working approach, working outside standard hours.
 
 
Required Skills
<ul><li>Degree or equivalent proven experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)
</li><li>A bachelors or Masters in Computer Science or related field with 8+ years (for Lead) experience, preferably in a data analytics team.
</li><li>Data Preparation : Extensive experience in writing complex database queries in SQL.
</li><li>Visualization : Expert in one or more popular viz tools (Tableau, Power BI etc)
</li><li>Data Analysis and Interpretation : A curious mindset that enables to dive deep &amp; fetch insights.
</li><li>Storytelling : Excellent skill of preparing Exec level stories.
</li><li>Presentation : Demonstrated experience of creating &amp; presenting data/dashboards/analysis to the leadership team &amp; ability to explain complex analytical concepts to executives.
</li><li>An awesome team-player and someone who junior analysts can look up to .
</li><li>Ownership : Assume responsibility for assigned projects from start to finish.
</li><li>Stakeholder Management 
</li></ul> 
Nice to have skills
<ul><li>Direct experience (2+ yrs) in data-engineering.
</li><li>Tableau certification like desktop specialist/professional is a big plus.
</li><li>Experience working with cloud data sources.
</li><li>Hands-on experience in advanced analytics, including predictive modelling, machine learning using python/R.
</li><li>Salesforce Product Certification
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $123,100 - $186,300 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $147,400 - $202,600 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Strategy and Analytics Lead

<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
Organization and Position Overview:
Delivery, Devices, and Connected Solutions (DDCS) sits within Eli Lilly's Product Research &amp; Development organization. We are a diverse team of scientists and engineers responsible for discovering, designing, and developing patient-centric drug delivery solutions across a broad range of modalities &mdash; from injection devices to novel routes of administration and nanomedicines. DDCS drives the drug delivery innovation agenda across early and late development to meet the needs of an expanding portfolio that spans small molecules, biologics, and nucleic acid therapeutics. 
 
DDCS is organized around a matrix model with strong disciplinary and functional horizontals supporting innovation and commercialization verticals. Our vision is to get our medicines to more patients faster by accelerating reach and scale, guided by three strategic pillars: Delivery Systems, Robust &amp; Sustainable, and Patient Experience + Outcomes. 
The AI Application Development function is a key horizontal capability within DDCS's Data Sciences &amp; Digital Transformation team, responsible for translating the organization's data and AI strategy into production-grade, user-facing applications that accelerate decision-making across innovation and commercialization verticals. This team partners with data scientists, scientific ML engineers, data engineers, and domain specialists throughout the DDCS matrix to deliver AI solutions that are robust, compliant, and directly tied to program impact.
The AI Application Development Engineer will develop, optimize, and fine-tune full-stack AI applications that integrate AI models with front-end user experiences and back-end services to enable workflow automation and decision support across drug delivery science, device design, and development operations. Operating within the DDCS matrix, this role partners with engineers, scientists, and business stakeholders to identify high-value use cases, translate needs into robust AI solutions, and communicate insights to senior technical and business leaders. The engineer collaborates with data scientists and data engineers to ensure modeling approaches and data structures are fit-for-purpose, contributes to the DDCS AI application strategy and architecture, and oversees compliance, security, and risk management across the application lifecycle.
Responsibilities:
AI Application Delivery (Full-Stack)<ul><li>
Develop full-stack applications integrating AI models with intuitive front-end interfaces and scalable back-end services for workflow automation and decision support across DDCS programs.</li><li>
Design and implement AI application architectures connected to APIs, databases, and enterprise systems, ensuring interoperability and secure data exchange.</li><li>
Build and maintain services and APIs that operationalize AI outputs&mdash;recommendations, triage, summarization, and anomaly detection&mdash;within DDCS workflows.</li></ul> 
Model Enablement &amp; Optimization<ul><li>
Fine-tune and embed large language models and machine learning models into production-ready applications using appropriate adaptation techniques.</li><li>
Optimize AI solutions for accuracy, latency, robustness, and cost; implement monitoring and continuous improvement mechanisms post-deployment.</li><li>
Design and maintain CI/CD workflows for AI application and model lifecycle management, enabling repeatability and scalability.</li></ul> 
Use Case Discovery &amp; Stakeholder Partnership<ul><li>
Partner with device engineers, drug delivery scientists, quality, manufacturing, and business stakeholders across the DDCS matrix to understand needs and define high-impact AI use cases.</li><li>
Translate stakeholder needs into product requirements, technical designs, acceptance criteria, and delivery plans; clearly communicate trade-offs and recommendations to senior leaders.</li><li>
Quantify and communicate uncertainty, sensitivity, and robustness to support risk-based technical decision-making.</li></ul> 
Cross-Functional Data &amp; Modeling Collaboration<ul><li>
Collaborate with data scientists and data engineers to ensure data sourcing, structure, and modeling approaches are appropriate for the intended use and decision context.</li><li>
Define data requirements, validation strategies, and operational workflows to ensure robust model performance and reproducibility.</li><li>
Collaborate with the Scientific ML (SciML) horizontal to develop or apply physics-informed or mechanistic-hybrid machine learning approaches for drug delivery and device performance problems.</li><li>
Support data-efficient learning strategies including active learning, Bayesian optimization, and optimal experimental design to reduce testing burden and maximize learning.</li></ul> 
AI Strategy, Architecture, Compliance &amp; Risk Management<ul><li>
Contribute to the DDCS AI application strategy and architectural blueprint: reusable patterns, reference architectures, and platform choices.</li><li>
Apply responsible AI principles, security controls, and compliance standards throughout the application lifecycle.</li><li>
Identify and mitigate risks related to privacy, security, model behavior, and regulatory compliance (FDA, GxP, 21 CFR Part 11).</li></ul>
Basic Requirements:<ul><li>
Master's degree in Computer Science, Machine Learning, Data Science, Biomedical Engineering, Mechanical Engineering, Chemical Engineering, Applied Mathematics, or related field</li><li>
5+ years of demonstrated experience developing full-stack software integrating AI models into user-facing products or decision-support tools</li><li>
Experience building and deploying AI or machine learning systems, including at least one production deployment.</li><li>
Experience with large language model-enabled applications: retrieval-augmented generation (RAG), tool use, and agent-based workflows.</li><li>
Strong software engineering skills in Python and one or more additional languages (TypeScript, JavaScript, Java, or C#), including API and microservices design.</li><li>
Experience with cloud-based deployment, ML Ops toolchains, observability, and performance/cost optimization in production environments.</li><li>
Systems thinking: understanding how data, models, applications, and people interact</li><li>
Clear communication of AI capabilities, limitations, and business value to diverse audiences</li></ul>
Additional Preferences:<ul><li>
PhD in relevant field and 2+ years of experience as listed above</li><li>
Familiarity with regulated environments and experience implementing security, privacy, documentation, and auditability requirements across the system lifecycle.</li><li>
Domain experience in drug delivery, medical devices, combination products, human factors, manufacturing, or quality analytics.</li><li>
Demonstrated ability to collaborate effectively across data science, data engineering, and engineering teams.</li><li>
Strong written and verbal communication skills with demonstrated ability to present technical concepts to senior technical and business leaders.</li><li>
Full-stack AI application design and delivery from prototype to production</li><li>
LLM and ML model integration, fine-tuning, and operationalization</li><li>
Cross-functional collaboration and use case translation within a matrix organization</li><li>
Responsible AI: security, compliance, and model risk management in regulated environments</li><li>
Scientific curiosity and domain engagement with drug delivery device development problems</li></ul>
Other Information:<ul><li>
Trave up to 10%</li><li>
Location: Indianapolis, IN; Lilly Technology Center &ndash; North (LTC-N)</li></ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$126,000 - $204,600
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>

Advisor - AI Application Development Engineer – Full-Stack AI Applications

Information Technology Senior Management Forum

<div><div>Posted Date
2/25/2026
</div><div>Description
<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
Location: San Diego, CA; San Francisco, CA; Louisville, CO; Indianapolis, IN; Boston, MA
Reports to: Head of Architecture4Insight, Data Foundry
Overview:
At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.
Lilly Small Molecule Discovery is an organization purpose-built to create molecules that make life better for people. We focus on using cutting edge science to unlock new approaches that can treat people suffering from diseases with poor treatment options. We continually challenge ourselves to deliver molecules that can provide breakthrough efficacy with the highest possible safety margins. We are dedicated to optimizing our mindset, technology, and processes for faster, more nimble execution. Our success is built on a culture that empowers innovative problem solving through open collaboration and individual accountability.
Discovery Technology and Platforms is a newly established function within this organization. Its mission is to accelerate molecule discovery by building highly optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and intentionally investing in novel technologies and capabilities.
About Data Foundry:
Data Foundry is a multidisciplinary team dedicated to enabling and accelerating molecule discovery through scalable and reproducible data generation, fueled by advanced scientific computing, informatics, and automation solutions. Data Foundry operates through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). Together, these pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities at scale.
Position Summary:
The Senior Director, Cloud Platforms &amp; Agent Infrastructure will lead technical architecture and platform engineering for Data Foundry's cloud-native infrastructure. Reporting to the Head of Architecture4Insight, you will build scalable, secure, and agent-ready systems that enable both human scientists and autonomous AI agents to accelerate molecule discovery.
You will architect and operate the computational infrastructure, APIs, and workflow automation systems that power real-time data access, analytical method deployment, and agent-driven experimentation &mdash; partnering closely with the Frontier AI group to ensure autonomous agents can reliably access data, invoke methods, and control laboratory systems at scale. As the enabling foundation across all Data Foundry pillars, this role provides Methods4Insight with production-ready platforms for deploying analytical methods as agent-callable APIs; integrates with Automation &amp; Scale4Insight for real-time data capture from laboratory instruments; and partners with Preparedness4Insight to embed governance, metadata standards, and FAIR principles directly into platform design.
The ideal candidate brings proven experience building cloud-native platforms in life sciences, deep expertise in modern software architecture and DevOps, and a track record of translating scientific requirements into scalable technical solutions. Experience with AI agent workflows or MCP server infrastructure is highly valued.
Responsibilities:
<ul><li>Lead the design and operation of Data Foundry&rsquo;s cloud-native infrastructure (AWS, Azure, and/or GCP), including infrastructure-as-code, containerization, orchestration, and self-service platforms that empower discovery scientists to deploy tools and run analyses at scale.</li>
<li>Partner closely with the Frontier AI group to build agent-ready infrastructure&mdash;including APIs with structured error handling, versioning, and audit trails; Model Context Protocol (MCP) servers; and real-time data streaming architectures&mdash;that enable autonomous AI agents to access data, invoke analytical methods, and control laboratory systems.</li>
<li>Ensure Architecture4Insight serves as the enabling technical foundation across all Data Foundry pillars: deploying Methods4Insight&rsquo;s analytical models as production APIs, integrating Scale4Insight&rsquo;s real-time instrument data streams, and embedding Preparedness4Insight&rsquo;s governance and metadata standards into platform design.</li>
<li>Design and implement workflow orchestration systems (Prefect, Airflow, Nextflow, WDL) that automate data pipelines, enable closed-loop experimentation, and provide reusable workflow templates for scientists.</li>
<li>Build data access and integration layers providing unified interfaces to diverse data sources (LIMS, ELNs, instruments, databases), with caching, indexing, and query optimization for interactive analytics and agent queries.</li>
<li>Lead platform engineering to build shared services, CI/CD automation, API gateways, and microservices architectures used across Data Foundry, establishing software engineering best practices and modern development standards.</li>
<li>Collaborate with Tech@Lilly Product Engineering to define pathways for transitioning prototypes to enterprise-managed production systems, establish SLAs, and represent Data Foundry in enterprise architecture forums.</li>
<li>Build, mentor, and help develop a high-performing platform engineering team of architects, software engineers, and DevOps specialists, fostering a culture of technical excellence and continuous learning.</li>
<li>Develop a multi-year roadmap for cloud platforms and infrastructure aligned with Data Foundry strategy, monitoring emerging technologies and establishing KPIs for platform performance, cost efficiency, and scientist satisfaction.</li>
</ul>
Basic Requirements:
<ul><li>MS/Ph.D. in Computer Science, Bioinformatics, Computational Biology, or related field, OR M.S. with equivalent experience in platform engineering and scientific software.</li>
<li>6+ years of experience in cloud platform architecture, scientific software engineering, or research informatics, with at least 3 years in pharmaceutical, biotechnology, or life sciences industry.</li>
</ul>
Additional Preferences:
<ul><li>Proven track record leading platform engineering or infrastructure teams (6&ndash;10+ professionals) delivering production systems.</li>
<li>Deep expertise in cloud-native architecture on AWS, Azure, or GCP including infrastructure-as-code, containerization, orchestration, and security.</li>
<li>Strong software engineering skills with experience in multiple programming languages and modern development practices.</li>
<li>Experience building APIs, microservices, and integration layers for complex scientific or technical systems.</li>
<li>Demonstrated ability to translate scientific requirements into technical architecture and scalable platform solutions.</li>
<li>Excellent communication skills with ability to explain technical concepts to scientists, collaborate with IT organizations, and influence stakeholders.</li>
<li>Experience with AI agent infrastructure, autonomous system platforms, or building APIs that AI/ML systems invoke programmatically.</li>
<li>Hands-on experience with Model Context Protocol (MCP) servers, LangChain, or similar frameworks for AI agent tool integration.</li>
<li>Deep understanding of workflow orchestration tools (Nextflow, Prefect, Airflow, WDL, Snakemake) and experience building automated scientific pipelines.</li>
<li>Experience with genomics, proteomics, or bioinformatics platforms and understanding of scientific data characteristics.</li>
<li>Familiarity with LIMS, ELN systems, and laboratory automation data integration patterns.</li>
<li>Track record of founding or building platforms from ground up, not just maintaining existing systems.</li>
<li>Experience with data governance, semantic modeling, ontologies, and metadata frameworks in scientific contexts.</li>
<li>Strong mentorship capabilities with passion for developing engineering talent and building collaborative teams.</li>
<li>Entrepreneurial mindset with ability to operate in ambiguous, fast-paced research environments.</li>
</ul>
Additional Information:
Physical Demands/Travel:
The physical demands of this job are consistent with an office environment. This position will require travel (~15&ndash;20%) to collaborate with teams across multiple Lilly sites and occasional external conferences.
Work Environment:
This position&rsquo;s work environment is primarily in an office with computational resources, with regular interaction with laboratory environments to understand data generation and system integration requirements.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$193,500 - $283,800
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>
</div><div>Salary
193,500.00 - 283,800.00 Annual</div></div><div></div>

Director - Cloud Platforms & Agent Infrastructure

City of Indianapolis & Marion County

<div><div><div><h2 class="jobSectionHeader">Overview</h2></div>
<div>***At this time, this position is only accepting internal applicants***
This position is responsible for assisting the Quality Assurance Manager in the oversight, monitoring, and maintenance of the quality assurance program of the I-MCFSA to meet national and international forensic laboratory accreditation requirements. The incumbent will assist with the evaluation and implementation of best practices in forensics and provide technical guidance on the creation of laboratory policy, standard operating procedures, and training programs. Advises, on behalf of the Quality Assurance Manager, Laboratory management and analysts on questions related to accreditation requirements and compliance. Serves in assessing and addressing risks to the quality of testing, reporting, and overall effectiveness of the laboratory. The incumbent will collaborate with the Quality Assurance Manager, regarding internal audits, both comprehensive and targeted, and address any issues that arise. This position plays a key role in reviewing key metrics in the case management system to gauge overall laboratory effectiveness and provide recommendations to leadership. Supporting the administration of proficiency testing, courtroom testimony training and monitoring programs. Upon request, will aid in completing records requests from legal representatives and the public. When faced with situations requiring independent judgment the incumbent will be held to the highest professional and ethical standards by upper management. Position reports to the Quality Assurance Manager.
Agency Summary 
The purpose and mission of the Indianapolis-Marion County Forensic Services Agency is to serve the Marion County community and supports the needs of the Criminal Justice System by providing services in Crime Scene Processing, Forensic Document Examinations, Latent Print Processing and Examination, Blood Alcohol Analysis, Fire Debris Analysis, Seized Drugs Analysis, Firearms Examinations and NIBIN, DNA and Serology Analysis and Forensic Evidence, Technician (Morgue Liaison) services. The agency cultivates a productive, collaborative, and compliant work environment to meet the needs of the constituents of Indianapolis and Marion County
 
 
Equal Employment Opportunity 
The City of Indianapolis Marion County is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. We value diversity in perspectives and experiences among colleagues and the residents of this city of whom we serve.</div>
<div><h2 class="jobSectionHeader">Position Responsibilities</h2></div>
<div><ul><li>Manages the scheduling, tracking, and documenting of quality assurance functions such as equipment calibrations and checks, manual revisions, training, proficiency testing, and risk assessment-related records. Communicates with vendors, often regarding technical specifications.</li><li>
Blind proficiency testing, obtains mock evidence materials, creates tests, enters into laboratory workflow, tracks completion, and assists in the assessment of results.</li><li>
Interacts with lab-wide staff to receive information and provide guidance on routine quality matters. Assists with investigating quality issues including risk assessment, root cause analysis, and corrective action in a diplomatic manner.</li><li>
Assists with preparation for internal audits and accreditation assessments, as well as aids in the resolution of any resulting nonconformities.</li><li>
Assists with monitoring and implementation of national and international best practices and standards published or sponsored by organizations such as ANAB, ISO, FBI (QAS), OSAC (NIST), ASTM, ASB (AAFS), SWGs.</li><li>
Serves as the laboratory Safety Manager by managing related policies and procedures, providing safety training, assessing safety risks, performing periodic safety checks, leading the safety committee, providing guidance to staff on safety, and serving as the agency point of contact for any enterprise-wide or other external communications.</li><li>
Fulfills quality records requests received from stakeholders.</li><li>
Assists with the equipment or method verification/validation process by providing guidance to staff and reviewing documentation.</li><li>
Creates and/or updates laboratory forms and procedures.</li><li>
Assists with tracking and updating of measurement uncertainty values for quantitative testing by collecting new data and performing complex calculations in accordance with established procedures.</li></ul></div>
<div><h2 class="jobSectionHeader">Qualifications</h2></div>
<div>Bachelor&rsquo;s Degree in Biology, Chemistry, Forensic Science, Criminology, or related science courses. Minimum of 3 years&rsquo; experience as a Forensic Scientist. Must complete specific forensic training as defined by the laboratory, internally or externally in a minimum 6-months and maximum of 48-months. Specific training elements include technical assessing of laboratory accreditation compliance, internal auditing, risk and opportunity assessment, corrective action, root cause analysis, verification and validation of analytical methods, measurement traceability and measurement uncertainty, enhancing forensic decision making (cognitive bias recognition and mitigation), LEAN/Six Sigma, and management/leadership training. May also be required to complete discipline-specific forensic trainings as necessary. Must have knowledge of the criminal justice system and familiarity with the sensitive and confidential nature of evidence managing and examination. Must be able to establish and set priorities according to time sensitive information to have continued success in this position. Must be able to communicate effectively in oral, verbal, and written formats. May require work to be completed during non-business hours on a limited and situational basis. 
 
Preferred Job Requirements and Qualifications 
Master&rsquo;s Degree or Ph.D. in Biology, Chemistry, Forensic Science, Criminology, or related science courses and ANAB Assessor preferred in addition to the minimum qualifications listed.</div></div></div>

Assistant Manager - Quality Assurance

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