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senior data engineer - analytics Jobs in Boston

senior data engineer - analytics

artificial intelligence (ai) engineer Jobs in Boston

artificial intelligence (ai) engineer

artificial intelligence engineer Jobs in Boston

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data scientist engineer

Shift Technology

<div><div>Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk - driving operational efficiency, exceptional customer experiences and measurable business impact. Trusted by the world's leading insurers, Shift delivers AI when and where it matters most, at scale and with proven results.

Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance.</div>
About the Team
<ul>
<li>This role is part of our Data Science team which is the largest team in our organization consisting of over 200+ Data Scientists throughout the world.</li>
<li>Our Data Scientists work in a full lifecycle role and on a broad range of subjects acquiring extensive technical and professional experience in data science, data engineering, coding, business understanding and client engagement.</li>
<li>Our company is small enough that each person's achievements has an impact on our overall performance, yet big enough to be a world leader and innovator in our domain.</li>
<li>As a member of the data science team, you will be working alongside our technical experts and your role will be key to rolling out our enterprise level solutions to our clients.</li>
</ul>
Key Responsibilities
<ul>
<li>Your role will be to actively contribute to the US- Insurance roadmap and clients, and working on various data types such as structured data, free text, documents and images.</li>
<li>Build and productionize data pipelines (structured, text, documents, images) optimized for LLMs and multi-modal models.</li>
<li>Design, develop and deploy LLM-based solutions (RAG, embeddings, instruction tuning) for subrogation, claims handling, document understanding, and related use cases.</li>
<li>Experiment with the latest in Agentic AI technologies (Langchain/Langgraph, OpenAI Agent SDK, MCP, A2A) and develop MVP for the next generation of autonomous subrogation solutions.</li>
<li>Develop &quot;Chain-of-Thought&quot; and &quot;ReAct&quot; prompting strategies to ensure the agent can justify its liability percentages based on the Comparative Negligence laws of different jurisdictions.</li>
<li>Create custom &quot;tools&quot; for the agent, allowing it to query internal databases, call external weather APIs, or calculate impact force based on telemetry data.</li>
<li>Establish rigorous evaluation frameworks (LLM-as-a-judge) to ensure the agent's decisions are unbiased, legally sound, and explainable.</li>
<li>Ensure responsible-AI practices: privacy, hallucination mitigation, explainability and compliance.</li>
<li>Lead client workshops, present prototypes, gather feedback and help define roadmap priorities.</li>
</ul>
WHAT WE ARE LOOKING FOR

We are looking for candidates with diverse skills to help us build excellent technology solutions for our clients and be proficient in the following skills:
<ul>
<li>Expert proficiency in production-level object-oriented programming (OOP) for building scalable and reliable systems.</li>
<li>Proven hands-on experience with Large Language Models (LLMs) and generative AI techniques (including RAG, embeddings, prompt engineering, and model tuning), leveraging frameworks such as OpenAI/Anthropic or open-source variants.</li>
<li>Solid foundation in ML fundamentals with practical experience in the full machine learning lifecycle, including model evaluation, monitoring, versioning, and deployment in production environments.</li>
<li>Experience designing and implementing robust data pipelines for document, OCR, and multi-modal data workflows.</li>
<li>Agentic Frameworks: Experience with integrating frameworks like LangChain/LangGraph, OpenAI Agent SDK, CrewAI, A2A/MCP with Databricks or Azure-hosted models (e.g., DBRX, OpenAI GPT-5.3, Anthropic Claude, Google Gemini).</li>
<li>Demonstrated ability to effectively engage with clients, translate complex business needs into clear, actionable technical solutions, and manage stakeholder expectations.</li>
</ul>
Highly Desired Skills
<ul>
<li>Databricks Ecosystem: Deep expertise in Mosaic AI (formerly MosaicML), Unity Catalog, and Delta Lake. Good understanding of Spark data architecture is a plus.</li>
<li>Experience using MLflow for the full lifecycle: from experiment tracking and prompt engineering in the AI Playground to model evaluation.</li>
</ul>
 #LI-MG1
<div>
#LI-HYBRID</div>
<div>
To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we'd like to highlight:
<ul>
<li>Flexible remote and hybrid working options</li>
<li>Competitive Salary and a variable component tied to personal and company performance</li>
<li>Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth</li>
<li>Generous PTO and paid holidays</li>
<li>Mental health benefits</li>
<li>2 MAD Days per year (Make A Difference Days for paid volunteering)</li>
</ul>
Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details.

At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company, without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria.

Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email accommodation@shift-technology.com and we will work with you to meet your accessibility needs.

Please be aware of scammers and only trust correspondence that comes from emails ending in &quot;shift-technology.com&quot;. We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process.

Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology.</div></div>

Data Scientist / Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems. 
 
Key job responsibilities 
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services. 
 
A day in the life 
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually 
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div>

Applied Scientist, Artificial General Intelligence

Cellular Intelligence

<div>About Cellular Intelligence 
Cellular Intelligence (CI) is an AI-native TechBio company building a universal foundation model of cell signaling to understand, predict, and ultimately control cellular behavior, transforming biology from trial-and-error into an engineering discipline. We take a full-stack approach, generating perturbation data at over 1,000x the efficiency of conventional methods, capturing millions of time-resolved treatment combinations per experiment, and training large-scale models that generalize across contexts to enable rational protocol design for regenerative medicine, context-specific drug effect prediction, and systematic disease modeling. Our founding team includes repeat AI entrepreneur Dr. Micha Breakstone (Chorus.ai, acquired for $575M), the Head of the Fundamental AI Group at MIT, and four professors from Harvard Medical School and the University of Washington, including the Chair of Genetics at Harvard, collectively holding five National Academy memberships. Based in Boston, CI has raised over $60M to date from Khosla Ventures, CZI, SciFi VC, and AMD Ventures, and is rapidly scaling its world-class team. 
 
Cellular Intelligence&rsquo;s Core Values<ul><li>
We show up - fully accountable, all-in, doing whatever it takes.</li><li>
We act with urgency - swift, decisive, proactive.</li><li>
We support one another - collaborative, helpful, empathetic.</li></ul> 
Location: Boston, MA
Reports to: Senior Principal Scientist, Molecular Biology
About the role<ul><li>
Execute Next Generation Sequencing (NGS) workflows for DNA and RNA sequencing library preparation.</li><li>
Support technology development, troubleshooting, and scale-up for high-throughput workflows.</li><li>
Maintain clear, organized records of experimental design and execution in electronic laboratory notebooks (ELN) such as Benchling.</li><li>
Collaborate with wet lab and computational teams to support and provide updates on research progress.</li></ul>
About you<ul><li>
BA/BS and MS in Molecular Biology, Biochemistry, Genomics, or a related field.</li><li>
1-2 years of hands-on experience in generating NGS libraries in an industry setting.</li><li>
Proficiency in molecular biology techniques, including PCR and qPCR.</li><li>
Detail-oriented with strong documentation and organizational skills.</li><li>
Familiarity with Illumina sequencing library preparation and sample QC such as concentration and size evaluation.</li><li>
Excellent communication skills, both written and verbal.</li><li>
Experience with inventory tracking and reagent QC.</li><li>
Experience in single cell sequencing, long-read sequencing, or other sequencing platforms a plus.</li><li>
Experience with assay development, automation, or high-throughput sample processing.</li><li>
Comfortable operating in fast-paced, startup or early-phase biotech environments.</li></ul>
Benefits:<ul><li>
Take a technical leadership role with a mission-driven company with the potential to significantly impact the lives of millions</li><li>
Work alongside a talented and passionate team at the forefront of AI and cellular biology</li><li>
Contribute to the development of groundbreaking therapies that address significant unmet medical needs</li><li>
Enjoy a competitive salary and benefits package, including flexible work options</li></ul>
Exceptional candidates who demonstrate outstanding capabilities and potential will be considered, even if they do not meet every qualification listed.
Join us and help unlock the full potential of AI for the benefit of human health!
Cellular Intelligence is committed to equal employment opportunity and non-discrimination for all employees and applicants regardless of race, color, ancestry, sex, sexual orientation, age, religion, national origin, ancestry, genetic information, disability, veteran status, marital status, citizenship status, or any characteristic protected under applicable law.</div>

Research Associate, Molecular Biology

Emonics LLC

<div>
 
 Job Overview:
 
 
 We are seeking a Data Engineer to support data pipeline development and ETL processes.
 
 
 
 
 Responsibilities:
 
 
 
 
 Build and maintain ETL pipelines
 
 
 
 
 Optimize database performance
 
 
 
 
 Work with structured and unstructured data
 
 
 
 
 Ensure data integrity
 
 
 
 
 Requirements:
 
 
 
 
 Degree in Data Engineering or related field
 
 
 
 
 Knowledge of SQL, Python
 
 
 
 
 Familiarity with data warehousing concepts
 
</div>

Entry Level Data Engineer

Vertex Pharmaceuticals

<div>Job Description
General Summary:
The Clinical Scientist Principal will provide scientific, clinical, and operational input to early and late stage clinical development programs with an emphasis on protocol-specific, in-life clinical data monitoring activities. This role will work on cross-functional study teams on design, execution, and monitoring of clinical trials, as well as data interpretation and communication. This role will also serve as a point of contact for investigators in day-to-day clinical study needs.
Key Duties and Responsibilities:
<ul><li>Works with cross-functional team with oversight by the Medical Lead to conduct clinical studies, including clinical and safety data review, site interface on clinical study content, preparation of meeting materials, communication plans (e.g., administrative letters, protocol amendments, protocol deviations), safety and medical monitoring, preparation of status update reports, and study close-out activities.
</li><li>Conducts medical monitoring reports, safety reviews, site interactions, and reviewing TFLs.
</li><li>Responsible for analytical support of clinical trial data (safety and efficacy), including gathering, analyzing, reviewing, interpreting, and providing preliminary assessments and recommendations to Medical Lead.
</li><li>Analyzes and synthesizes information to assess issues relating to protocol conduct and/or individual subject safety.
</li><li>Provides clinical operational support for Data Monitoring Committees including operationalizing the charter, preparing updates and blinded data reviews, execution of meetings and adjudications, and communication of synthesized data reports.
</li><li>Develops protocols, clinical study reports, IBs, ICFs, training documents, and other clinical and regulatory documents with minimal direction from the Medical Lead.
</li><li>Collaborates with internal and external stakeholders (study sites, vendors, committees, etc.) in support of clinical trial objectives; responds to or triages questions for appropriate escalations.
</li><li>Represents Vertex to outside personnel in the development of clinical protocols and study conduct
</li><li>Contributes to the organization, preparation, and execution of investigator and advisory board meetings in collaboration with the project team and external vendors.
</li><li>Leads literature reviews as needed.
</li><li>Prepares scientific material for conference presentations or publications.
</li></ul>Knowledge and Skills:
<ul><li>In-depth knowledge in analysis and interpretation of clinical data (safety and efficacy); proficient knowledge of biostatistics, GCP, and regulatory requirements for clinical studies.
</li><li>Ability to make independent, timely and appropriate decisions.
</li><li>Strong oral and written communication skills to explain difficult information and solid computer/analytical skills.
</li><li>Ability to work collaboratively in a fast-paced, team-based matrix environment and to function independently as appropriate.
</li><li>High level of organizational and project management skills.
</li><li>Flexibility to accommodate changes in team and project needs.
</li><li>Ability to handle multiple projects at a time and have a strong attention to detail while understanding the higher-level strategy.
</li></ul>Education and Experience:
<ul><li>Bachelor's degree in the Life sciences
</li><li>Typically requires 6 years of experience in clinical or pre-clinical research in the pharmaceutical industry or healthcare setting, or the equivalent combination of education and experience.
</li></ul>Pay Range:
$138,100 - $207,100
Disclosure Statement:
<div><div><div><div>The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
</div></div></div></div>Flex Designation:
Remote-Eligible
Flex Eligibility Status:
In this Remote-Eligible role, you can choose to be designated as:
 
1. Remote : work remotely five days per week and come into the office on occasion &ndash; you&rsquo;re always welcome on-site; or select
 
2. Hybrid : work remotely up to two days per week; or select
 
3. On-Site : work five days per week on-site with ad hoc flexibility.
Note: The Flex status for this position is subject to Vertex&rsquo;s Policy on Flex @ Vertex Program and may be changed at any time.
#LI-Remote
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com</div>

Clinical Scientist Principal

Information Technology Senior Management Forum

<div><div>Posted Date
3/18/2026
</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.
Position: Data Architect, Data Foundry
Location: San Diego, CA; San Francisco, CA; Boston, MA; Louisville, CO; Indianapolis, IN
Overview
Lilly Small Molecule Discovery is purpose-built to create molecules that make life better for people. Discovery Technology and Platforms (DTP) accelerates molecule discovery by building optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and investing in novel capabilities.
Data Foundry is a multidisciplinary team within DTP that enables AI-native drug discovery through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Automation &amp; Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities&mdash;serving both human scientists and autonomous AI agents.
Position Summary
We are seeking Data Architects at multiple levels to design and build the data infrastructure that makes AI-native drug discovery possible. You will create the schemas, ontologies, data models, knowledge graphs, and platform architectures that transform raw scientific data into machine-actionable, FAIR-compliant, insight-ready assets&mdash;serving both discovery scientists and autonomous AI agents.
This role is the foundation of Architecture4Insight . Everything the software engineering team builds&mdash;pipelines, APIs, prototypes&mdash;depends on the data models and platform architecture this team designs. You will work with deep knowledge of scientific data (chemical, biological, HTE, automation-generated) to create custom-fit solutions, then partner with Tech@Lilly to scale and maintain them. The role spans three focus areas depending on expertise: data modeling &amp; ontologies , data platform &amp; lakehouse architecture , and knowledge graph &amp; specialized data systems .
Responsibilities
Data Modeling &amp; Ontologies
<ul><li>Design and implement data models, schemas, and ontologies for chemical, biological, and automation-generated data that serve discovery workflows across the portfolio.</li>
<li>Define and maintain controlled vocabularies, metadata standards, and FAIR-compliant data frameworks in partnership with Preparedness4Insight.</li>
<li>Implement semantic data standards (RDF, OWL, SPARQL) and ontology engineering practices to create interoperable, machine-readable scientific data.</li>
</ul>
Data Platform &amp; Lakehouse Architecture
<ul><li>Design and implement data lakehouse architecture using modern platforms (Databricks, Snowflake, or equivalent), including data storage patterns, partitioning strategies, and query optimization.</li>
<li>Build and optimize ETL/ELT pipelines using Spark, dbt, or similar tools to transform raw scientific data into analytical and ML-ready formats.</li>
<li>Implement real-time and streaming data integration (Kafka, Kinesis, event-driven patterns) connecting LIMS, instruments, and lab automation systems to the data infrastructure.</li>
</ul>
Knowledge Graph &amp; Specialized Data Systems
<ul><li>Design and implement knowledge graphs (Neo4j, Amazon Neptune, TigerGraph) that capture molecular, target, pathway, and experimental relationships across the discovery landscape.</li>
<li>Architect specialized data solutions: array databases (TileDB) for genomics/imaging, document stores (MongoDB) for experimental records, and vector databases for embedding-based retrieval supporting ML and RAG workflows.</li>
<li>Build query and traversal patterns that enable scientists and AI agents to ask relational questions across the entire data landscape.</li>
</ul>
Cross-Functional Partnership
<ul><li>Partner with scientific software engineers to ensure data architectures are implementable, performant, and well-documented.</li>
<li>Collaborate with Methods4Insight to design data structures that support analytical model training, deployment, and evaluation.</li>
<li>Work with Tech@Lilly to define scaling strategies, ensure enterprise compliance, and transition data architectures to production-grade management.</li>
<li>Contribute to build-versus-buy-versus-adopt decisions by evaluating commercial and open-source data platforms against Data Foundry requirements.</li>
</ul>
Basic Requirements
<ul><li>B.S. or M.S. in Computer Science, Data Science, Bioinformatics, Computational Biology, Information Science, or related STEM field; Ph.D. valued for ontology and knowledge graph roles.</li>
<li>B.S. with 7+ years and M.S. with 5+ years of data architecture, data engineering, or scientific informatics' experience.</li>
<li>SQL skills and experience in multiple database paradigms (relational, graph, document, columnar, key-value).</li>
</ul>
Preferred Qualifications
<ul><li>Expertise in at least one of: data modeling/ontologies, data platform engineering (Databricks, Snowflake, Spark), or graph/specialized databases (Neo4j, Neptune, MongoDB).</li>
<li>Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data integration patterns.</li>
<li>Understanding of scientific data types and experimental workflows in life sciences or pharma (chemical, biological, HTE data).</li>
<li>Strong communication skills with ability to translate data architecture concepts for both technical and scientific audiences.</li>
<li>Pharmaceutical or biotech research industry experience, particularly in discovery data management or research informatics.</li>
<li>Experience with semantic web technologies: RDF, OWL, SPARQL, Prot&eacute;g&eacute;, or equivalent ontology engineering tools.</li>
<li>Hands-on experience with graph databases (Neo4j, Neptune, TigerGraph) and knowledge graph design patterns for scientific data.</li>
<li>Data lakehouse architecture experience: Databricks (Delta Lake, Unity Catalog), Snowflake, or equivalent; ETL/ELT with Spark, dbt.</li>
<li>Experience with streaming/real-time data platforms (Kafka, Kinesis, Flink) and event-driven architectures.</li>
<li>Familiarity with LIMS, ELN systems (e.g., Benchling), and laboratory instrument data integration.</li>
<li>Experience with vector databases (Pinecone, Weaviate, pgvector) and embedding-based retrieval for ML/RAG applications.</li>
<li>Array database experience (TileDB, Zarr) for genomics, imaging, or high-dimensional scientific data.</li>
<li>Experience with bioinformatics data formats (FASTA, BAM/CRAM, VCF) and biological sequence databases; familiarity with NGS data pipelines and proteomics data management.</li>
<li>FAIR data principles implementation experience and Data Readiness Level frameworks.</li>
<li>Scientific data standards and controlled vocabularies in chemistry (InChI, SMILES) or biology (Gene Ontology, UniProt, pathway databases such as Reactome or KEGG).</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
$132,000 - $193,600
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>
</div><div>Salary
132,000.00 - 193,600.00 Annual</div></div><div></div>

Data Architect, Data Foundry

SonderMind

<div><h2 class="jobSectionHeader">About SonderMind</h2>
At SonderMind, we believe everyone deserves one personalized, connected, and effective mental health destination to take care of their mental health and well-being at any stage of life. SonderMind care encompasses everything from therapy and medication management to meditation and mindfulness exercises. Our clinicians leverage our digital tools and research to deliver increasingly high-quality care and to develop thriving practices. Combining technology and human connection, SonderMind drives better outcomes through our comprehensive approach. Learn more about SonderMind at sondermind.com or download the mobile app, available on iOS and Android. To follow the latest SonderMind news, get to know our clients, and learn about what it&rsquo;s like to work at SonderMind, you can follow us on Instagram and Linkedin
Additionally, we expect all team members to effectively leverage modern AI technologies as part of their everyday workflow, and to continuously adapt as new tools emerge. Familiarity with job-relevant AI platforms such as Gemini, ChatGPT, Claude, GitHub Copilot or other industry-standard AI productivity tools is expected and considered essential for success at this company.
<h2 class="jobSectionHeader">About the Role</h2>
At SonderMind, we know that therapy works. SonderMind provides accessible, personalized mental healthcare that produces high-quality outcomes for patients. SonderMind's individualized approach to care starts with using innovative technology to help people not just find a therapist, but find the right, in-network therapist for them, should they choose to use their insurance. From there, SonderMind's clinicians are committed to delivering best-in-class care to all patients by focusing on high-quality clinical outcomes. To enable our clinicians to thrive, SonderMind defines care expectations while providing tools such as clinical note-taking, secure telehealth capabilities, outcome measurement, messaging, and direct booking.
To follow the latest SonderMind news, get to know our clients, and learn about what it&rsquo;s like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter.<h2 class="jobSectionHeader">
What you&rsquo;ll do</h2>
As a Staff Data Scientist at SonderMind you will be a leader in the technology organization (product, engineering and applied science), working on solving a diverse set of problems in the mental healthcare space. From helping clinicians grow and manage their practices, to personalizing self-care and matching appropriate providers with clients who are ready for clinical care, your primary role will be to drive success for all of these scenarios through the development of data-driven ML/AI services. As an integral part of the product and engineering team our data scientists deploy data products with immediate positive impact to our providers and clients.<h2 class="jobSectionHeader">
Essential Functions</h2><ul><li>
Deploy models and services to continuously improve client &amp; provider experiences on the platform</li><li>
Lead algorithm and architecture design decisions for new and ongoing ML initiatives</li><li>
Prototype new ML services - including potentially reproducing services/models from published pseudocode - encompassing identification of source data, creation of ML pipelines, and deployment to our platform</li><li>
Conduct code reviews and guidance on best practices</li><li>
Write, update, and deliver documentation on ML services and infrastructure</li><li>
Analyze existing data to identify areas of improvement or new ML initiatives</li><li>
Collaborate with engineering teams to integrate ML based functionality</li><li>
Design and deploy A/B tests and Multi-armed bandit experiments to optimize services and deliver reports on findings to stakeholders 
 
</li></ul>Key Technologies:<ul><li>
Python: Pytorch, Pyspark</li><li>
REST API services</li><li>
Kubernetes and Docker</li><li>
SQL (PostgreSQL and Snowflake)</li><li>
NoSQL (DynamoDB, Elasticsearch)</li></ul><ul><li>
AWS Services: Sagemaker, Athena, Glue, Feature Store</li><li>
Git/Gitlab</li><li>
LaunchDarkly</li></ul><h2 class="jobSectionHeader">
What does success look like?
</h2><ul><li>Design and implement ML data products and systems that directly impact clinicians and clients across the mental healthcare journey</li><li>
Independently identify and communicate new opportunities to apply data science to improve clinician/client workflows and healthcare quality</li><li>
Deliver production-ready services and demonstrate leadership in problem-solving technical challenges</li><li>
Partner cross-functionally with a curious, solution-oriented approach to drive alignment with the applied science and data engineering org</li></ul><h2 class="jobSectionHeader">
Who You Are</h2><ul><li>
Ph.D. (preferred) or M.S. in a quantitative science such as computer science, engineering, data science, applied mathematics, statistics, etc.</li><li>
5+ years of preparing and deploying ML data products</li><li>
Prior experience at early- to mid-stage growth companies is preferred</li><li>
Experience in the health-tech and/or mental health space is a strong bonus</li><li>
Strong statistics and experimental design background</li><li>
Proficiency with Python programming language</li><li>
Expertise in recommender systems utilizing multiple underlying technologies such as reinforcement learning and collaborative filtering</li><li>
Predictive modeling and expertise with multiple optimization frameworks such as gradient descent, particle swarm optimization, simulated annealing, quadratic programming, and Bayesian optimization</li><li>
Experience with generative models and artificial intelligence</li></ul><h2 class="jobSectionHeader">
Our Benefits
</h2>The anticipated salary range for this role is $180,000 - $200,000. Final compensation will be determined based on a variety of factors, including relevant experience, skills, education, and past performance. In addition to base salary, this position may also be eligible for equity.
As leaders in redesigning behavioral health, we walk the walk with our employees' benefits. We want the experience of working at SonderMind to accelerate people&rsquo;s careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their lives and work.
Our benefits include:<ul><li>
A generous PTO policy, with a minimum of three weeks off per year</li><li>
A holiday schedule that follows standard U.S. holidays</li><li>
Free therapy coverage benefits to ensure employees have access to the care they need (must be enrolled in a qualifying medical plan to participate)</li><li>
Competitive Medical, Dental, and Vision coverage, with plans to meet every need &mdash; including HSA (with $1,100 company contribution) and FSA options</li><li>
Employer-paid short-term disability, long-term disability, life &amp; AD&amp;D, plus coverage of the salary difference for up to seven weeks of short-term disability leave (after the required waiting period)</li><li>
Eight weeks of paid Parental Leave; if the parent also qualifies for STD, this benefit is in addition, allowing for 8&ndash;16 weeks of paid leave</li><li>
401(k) retirement plan with 100% match on up to 4% of base salary, immediately vested</li><li>
Join teammates from across the country at our annual company gathering</li><li>
Company shutdown between Christmas and New Year&rsquo;s</li><li>
Supplemental life insurance, pet insurance, commuter benefits, and more</li></ul><h2 class="jobSectionHeader">
Application Deadline</h2>
This position will be an ongoing recruitment process and will be open until filled.<h2 class="jobSectionHeader">
Equal Opportunity
</h2>SonderMind does not discriminate in employment opportunities or practices based on race, color, creed, sex, gender, gender identity or expression, pregnancy, childbirth or related medical conditions, religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.</div>

Senior Staff Data Scientist

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