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lead director, data science - clinical insights & informatics Jobs in Chicago

lead director, data science - clinical insights & informatics

principal data scientist clinical informatics

CVS Health

<div>At CVS Health, we&rsquo;re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation&rsquo;s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues &ndash; caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
Position Overview
CVS Health&rsquo;s Analytics &amp; Behavior Change (A&amp;BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&amp;BC leverages advanced analytics, machine learning, modeling, and a hypothesis-driven approaches to transform data into actionable, customer-centric insights to drive growth, improve health outcomes and access to health care across all our businesses in CVS Health. Our teams build next generation data and machine learning platforms and software products that help power CVS Health to make healthier happen for 100+ million customers.
The A&amp;BC organization is looking to grow its Clinical Data Science &amp; AI team. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages technology and analytics to become the leader in consumer healthcare in the U.S. In this role you will be tasked with activating CVS Health&rsquo;s clinical data repository to improve outcomes across multiple lines of business and use cases. As a Principal Data Scientist, you will&hellip;
What You&rsquo;ll Do<ul><li>
be a subject matter expertise in clinical data, specifically from EHRs and HIEs, and how to apply it to solve healthcare problems.</li><li>
lead decision scientists, data engineers, and product owners to design and implement analytics solution.</li><li>
foster a team cultural of analytical excellence by balancing the pursuit of business value with innovation and continuous improvement.</li><li>
identify and translate emerging AI trends in healthcare to better address real world problems with an MVP-first mindset.</li><li>
develop, validate, implement, and support decision support tools that investigate problem spaces, identify patterns, support decision-making processes, or anticipate outcomes.</li><li>
build queries, dashboards, and data visualizations to effectively communicate analysis results and support decision making processes.</li><li>
provide thought leadership in the development of the clinical data feature store, which aims to accelerate adoption of future use cases utilizing clinical data.</li><li>
explore, validate, interpret, and summarize large amounts of data with various types/structures using advanced statistical and mathematical approaches.</li><li>
develop end-to-end analytics solutions, from developing problem statements to deployments into production.</li><li>
translate problem statements from business partners into conceptual solutions, analyze feasibility, and estimate work efforts for analytical use cases early in their lifecycle.</li><li>
create documentation of project details, like problem statements, business outcomes, data exploration, dashboard/report details, and deployment/support instructions.</li><li>
develop and participate in presentations and consultations to existing and prospective constituents on analytics opportunities, results, and solutions.</li></ul>
Required Qualifications<ul><li>
10+ years of relevant experience, including:</li><li>
Experience solving analytics problems in the healthcare domain using clinical data.</li><li>
Experience with HL7 FHIR and Clinical Document Architecture specifications.</li><li>
Experience with OHDSI OMOP Common Data Model.</li><li>
Experience with clinical ontologies like SNOMED, LOINC, ICD-10, RxNorm, CPT-4, HCPCS, etc..</li><li>
Experience leading analytics projects from concept to delivery by coordinating across a diverse set of stakeholders.</li><li>
Experience solving analytics problems using advanced statistics, machine learning, and mathematical algorithms.</li></ul>
Preferred Qualifications<ul><li>
Experience using Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, and Cloud Composer to implement scalable analytics solutions.</li><li>
Experience using natural language processing (NLP), large language models (LLMs), and Generative AI (Gen AI) to extract insights from text data.</li><li>
Ability to anticipate and prevent roadblocks throughout a project lifecycle and drive resolution/mitigation.</li><li>
Proven track record of implementing cutting-edge AI solutions in a deadline driven, value oriented environment.</li><li>
Strong written and verbal communication skills, including the ability to present complex ideas to various audiences.</li></ul>
Education Requirements
Bachelor&rsquo;s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
Master&rsquo;s or Doctorate degree preferred.
Pay Range
The typical pay range for this role is:
$144,200.00 - $288,400.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 12/31/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Principal Data Scientist (Clinical Informatics)

Wells Enterprises, Inc.

<div>The R&amp;D Scientist IV develops and implements R&amp;D plans and strategies in support of company objectives. 
Responsibilities Include:
<ul><li>Develops and implements R&amp;D plans and strategies in support of company objectives.
</li><li>Directs and develops communication involving project needs, status updates and technical advice to all stakeholders in order to promote more efficient and effective deliverables.
</li><li>Recommends opportunities and solutions for process improvements.
</li><li>Responsible for leading the teams&rsquo; understanding and application of knowledge of ingredients, products and frozen dessert manufacturing processes for the completion of projects.
</li><li>Recommends opportunities and solutions for process improvements.
</li><li>Acts as a mentor and subject matter expert to the less experienced developers in terms of technical guidance and project management.
</li><li>Uses objectivity on project work by practicing the scientific method of defining the question, gathering and recording information, forming a hypothesis, performing experiment, analyzing data, interpreting data and drawing conclusions.
</li><li>Influences and leads the application of learnings, creativity and technical knowledge to add value through innovation.
</li><li>Facilitates activities necessary to take more complex and innovative projects from conceptualization through commercialization working with project constraints of time, target and budget.
</li><li>Ensures NPD adherence and that the process follows the critical paths.
</li><li>Collaborates cross-functionally to ensure safety, quality and legality of products manufactured is maintained.
</li><li>Work site is located in Chicago, Illinois with the option to work from home a few days per week.</li></ul></div>
 <div><ul><li>Bachelor&rsquo;s degree or foreign equivalent in Food/Dairy Science, Chemical Engineering, or related field
</li><li>6 years of experience as a R&amp;D Scientist IV, Research Scientist, Scientist, or similar duties under a different job title.
</li><li>6 years of experience in the following:
<ul><li><div>Working in the food industry to develop new ingredients for use in food and/or beverage products;
</div></li><li><div>Developing and implementing R&amp;D plans and strategies for new food products from conceptualization to commercialization;
</div></li><li><div>Providing technical direction to all stakeholders on projects;
</div></li><li><div>Practicing the scientific method including defining the question, gathering and recording information, forming a hypothesis, performing experiments, analyzing data, interpreting data, and drawing conclusions.
</div></li></ul></li><li>3 years of experience in the following:
<ul><li><div>Collaborating cross-functionally to design and plan pilot and commercial scale trials to launch new ingredients ensuring final product meets all safety, quality, and regulatory compliance requirements;
</div></li><li><div>Leading new product development and process optimization projects through a stage-gate process;
</div></li><li><div>Designing and executing experiments to create and optimize product prototypes at bench scale;
</div></li><li><div>Conducting ingredient characterization to determine end use application, including evaluating ingredient performance in specific categories to prove commercial feasibility;
</div></li><li><div>Defining key process parameters and product specifications to ensure consistent, in-spec commercial production trials; and
</div></li><li><div>Analyzing manufacturing data to troubleshoot process issues, improve yields, and reduce cost of manufacturing. 
</div></li></ul></li></ul>The pay range for this position is $119,309 to $131,544 annually. This pay range represents the anticipated salary for this position at this time.
Wells Enterprises is an EEO/AA employer M/F/Vet/Dis</div>

R&D Scientist IV - Chicago, IL, United States

<div>At CVS Health, we&rsquo;re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation&rsquo;s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues &ndash; caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
Position Summary
CVS Health is seeking an experienced analytics leader to join our Clinical Data Science team as the Lead Director, Data Science. This role is crucial in leveraging CVS Health&rsquo;s extensive clinical data to enhance health outcomes across various business lines and use cases. The successful candidate will be responsible for leading a team to design, develop, implement, and support advanced analytics solutions. The Lead Director will play a pivotal role in transforming clinical data into actionable insights, improving patient care capabilities, optimizing healthcare operations, and driving evidence-based decision-making.
What You&rsquo;ll Do<ul><li>
Direct and mentor a team of data scientists, fostering a culture of innovation and collaboration to drive business value and insights through data science initiatives.</li><li>
Partner with stakeholders across the organization, including executives, clinicians, and business teams, to align data science efforts with business strategy and identify opportunities for data-driven solutions.</li><li>
Guide the design, development, validation, and implementation of analytics solutions that address complex business challenges, ensuring they effectively support decision-making processes and anticipate outcomes.</li><li>
Champion the use of advanced techniques, such as natural language processing (NLP) and large language models (LLMs), to extract actionable insights from unstructured clinical data, while overseeing the team&rsquo;s execution of these initiatives.</li><li>
Lead the strategic development of the clinical data feature store, facilitating the efficient adoption of future use cases and enhancing the organization&rsquo;s data capabilities.</li><li>
Oversee the exploration, validation, and interpretation of large datasets, ensuring the application of advanced statistical and mathematical approaches to derive meaningful insights.</li><li>
Drive the end-to-end development of analytics solutions, from defining problem statements to overseeing the deployment of models into production, ensuring alignment with organizational goals.</li><li>
Ensure the creation of impactful dashboards and data visualizations that effectively communicate analysis results and support strategic decision-making across the organization.</li><li>
Oversee the documentation of project details, including problem statements, business outcomes, and deployment instructions, to ensure knowledge transfer and continuity.</li><li>
Develop and lead presentations and consultations for existing and prospective stakeholders, articulating analytics opportunities, results, and strategic solutions.</li><li>
Provide technical coaching and professional development opportunities for data scientists, enhancing their skills and capabilities to meet organizational needs.</li><li>
Foster a team culture that prioritizes innovation, collaboration, and continuous improvement, encouraging team members to share ideas and best practices.</li></ul>
Required Qualifications<ul><li>
10+ years of total business experience in analytics or data science.</li><li>
7+ years of experience solving analytics problems using advanced statistics, machine learning, and mathematical algorithms.</li><li>
5+ years of experience leading analytics projects from concept to delivery, coordinating across diverse stakeholder groups.</li><li>
5+ years of people management experience with a proven track record of leading highly effective and engaged teams.</li><li>
Experience building analytics solutions to solve business problems in the healthcare domain.</li><li>
Proficiency with statistical concepts and advanced analytic techniques, such as regression, tree-based non-linear models, time series analysis, and deep learning.</li><li>
Proficiency using natural language processing (NLP), large language models (LLMs), and Generative AI (Gen AI) to extract insights from text data.</li><li>
Proficiency in Python and SQL.</li></ul>
Preferred Qualifications<ul><li>
Experience using clinical data from EMR systems.</li><li>
Proficiency with Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, DataProc, and Cloud Composer.</li><li>
Excellent written and verbal communication skills, including the ability to present complex ideas to various audiences.</li><li>
Strong analytical and problem-solving skills with the ability to handle multiple, complex projects in a deadline-driven environment.</li><li>
Highly self-motivated and attentive to detail.</li><li>
Ability to anticipate and prevent roadblocks throughout a project lifecycle and drive resolution/mitigation.</li></ul>
Education<ul><li>
Bachelor&rsquo;s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related discipline.</li><li>
Master&rsquo;s degree preferred.</li></ul>
Pay Range
The typical pay range for this role is:
$144,200.00 - $288,400.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 12/31/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Lead Director, Data Science - Clinical Insights & Informatics

<div>At CVS Health, we&rsquo;re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation&rsquo;s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues &ndash; caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
Position Summary
CVS Health&rsquo;s Analytics &amp; Behavior Change (A&amp;BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&amp;BC leverages advanced analytics, machine learning, modeling, and hypothesis-driven approaches to transform data into actionable, customer-centric insights driving growth, health outcome improvements, and access to health care across all our businesses in CVS Health. Our teams build next generation data and machine learning platforms and software products that help power CVS Health to make healthier happen for 100+ million customers.
The A&amp;BC organization is looking to grow its Product team supporting Clinical Data Science &amp; AI. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages technology and analytics to become the leader in consumer healthcare in the U.S.
As a Product Manager within A&amp;BC, you will be responsible for contributing to the development and launch of AI-powered insights across the enterprise. This role requires a strong understanding of product management, clinical data, data science, and business strategy. The ideal candidate has familiarity with GenAI, deep learning, and machine learning and is able to work effectively with cross-functional teams to bring clinical data and AI products to market. Additionally, as a Product Manager you will support the dissemination of best practices (design thinking, agile methodologies and more) to support A&amp;BC in its digital transformation.
Responsibilities:<ul><li>
Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to Data Science, Engineering, and Stakeholder teams</li><li>
Support Engineering and Data Science teams to implement features by clarifying requirements, facilitating technical discussions, and helping technical team members to understand users and the business</li><li>
Facilitate problem solving and prioritization across teams, factoring in trade-offs between speed, scalability, and quality</li><li>
Conduct user research, usability testing, and competitive analysis to inform product decisions and validate hypotheses</li><li>
Liaise with clinicians to get an understanding of clinical best practices, requirements, and validation of AI outputs</li><li>
Define, monitor and analyze product performance metrics, identifying opportunities for improvement and optimization</li><li>
Draft, refine and communicate business cases to key stakeholders to obtain input and buy-in</li><li>
Work with internal customers, end users, and other stakeholders to maintain product roadmaps</li><li>
Clarify and coordinate dependencies with other product teams and stakeholders, and mitigate the risks and dependencies proactively</li><li>
Support the establishment and maintenance of release-management, product planning and launch frameworks</li><li>
Champion Agile methodologies and lean practices in product development</li></ul>
Required Qualifications<ul><li>
3+ years&rsquo; experience working cross-functionally with Engineering or Data Science teams and familiarity with Data Science concepts</li><li>
1-2 years&rsquo; Product Management, Product Management-adjacent, or Consulting experience (closely partnering with Data Scientists and Engineers) including:</li><li>
Strong experience with AI, data analytics, data products, and/or complex analytics utilizing clinical or claims data to accelerate insights and drive value</li><li>
Experience in stakeholder management</li></ul>
Preferred Qualifications<ul><li>
Familiarity with AI including GenAI, machine learning, and deep learning</li><li>
Deep knowledge of various types of healthcare data, including a strong grasp of data nuances, common use cases, and limitations, with experience in common analytics tools including, but not limited to, Tableau</li><li>
Strong interest in the Healthcare sector; the ideal candidate should be passionate about making healthcare more efficient and want to be part of a transformational change in the Healthcare industry</li><li>
Technical product management experience and/or experience with prompt engineering a plus</li><li>
Demonstrated ability to operate effectively within a complex stakeholder environment, driving consensus and fostering collaborative decision-making processes</li><li>
Demonstrated ability to communicate (oral and written), with experience in communicating technical concepts and implications to business stakeholders and customers as well as business concepts and requirements to Data Science, Engineering, and other technical teams</li><li>
Proven track record of supporting the management of all aspects of a successful product throughout its lifecycle</li><li>
Ability to drive outcomes in a complex environment and navigate ambiguity</li></ul>
Education<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, or a related field</li><li>
Bachelor&rsquo;s degree required</li></ul>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$92,700.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 12/27/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Product Manager, Clinical Data Science & AI

Intelligent Medical Objects

<div><div><div>At IMO Health, Semantic Data Modelers are key members of our ontology-driven graph engineering team, helping to build and maintain a virtualized, intelligent, and scalable medical terminology platform. Your work will empower over 740,000 clinicians by enhancing how healthcare data is structured, delivered, and understood.</div><div>
We are seeking an experienced Semantic Data Modeler to join our team, focusing on the development and application of Knowledge Graphs integrated with Data Science and Natural Language Processing (NLP) workflows. In this critical role, you will contribute to the design and implementation of semantic models, bridging the gap between raw data sources and actionable clinical insights. You will utilize your skills in NLP and data analysis to enrich our knowledge graph, ensuring high data quality and accessibility for semantic enrichment and clinical interoperability initiatives. This position requires strong technical proficiency and exceptional collaboration skills, working closely with staff semantic engineers, clinicians, and content teams.</div></div>
<div><div><h3 class="jobSectionHeader">WHAT YOU&rsquo;LL DO:
</h3><ul><li><ul><li>Semantic Model Design: Contribute to the design, development, and iterative refinement of complex semantic data models, with a focus on ontologies, knowledge graphs, and property graphs.</li><li>
Requirement Translation: Assist senior team members in translating intricate, cross-functional business needs into formal, scalable knowledge graph structures, ensuring tight alignment with the enterprise data strategy.</li><li>
Governance and Standards: Document semantic assets, including detailed entity definitions, relationship types, axioms, constraints, and data lineage, ensuring adherence to established best practices and fostering consistency across the organization.</li><li>
Graph Data Analysis &amp; Feature Engineering: Utilize data science methodologies and Python scripting to conduct exploratory data analysis (EDA) on graph structure, identify data patterns, perform feature engineering, and support advanced analytics based on the knowledge graph.</li><li>
Data-Driven NLP Integration: Apply Natural Language Processing (NLP) techniques and tooling to unstructured clinical text and data streams to identify, extract, and map new entities, attributes, and relationships directly into the semantic models, effectively structuring raw data for machine learning consumption.</li><li>
Robust Data Quality: Implement and maintain data quality frameworks, validation rules (e.g., using SHACL), and transformation logic within the semantic layer to ensure the accuracy, reliability, and consistency of the knowledge graph.</li><li>
Cross-Functional Partnership: Partner closely with Staff semantic engineers, clinicians, content teams, and business leaders to understand domain knowledge and requirements, and ensure semantic solutions effectively meet organizational objectives.</li><li>
Research &amp; Evaluation: Assist in researching, evaluating, and utilizing new technologies, methodologies, and best practices in semantic modeling, knowledge graph technologies, and NLP to drive continuous process improvement.</li><li>
Knowledge Sharing: Proactively share technical expertise and knowledge with peers and cross-functional teams.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader">WHAT YOU&rsquo;LL NEED:
</h3><ul><li><ul><li>BA/BS in a STEM field (e.g., Computer Science, Data Science, Bioinformatics) with 3-5 years of hands-on work experience in data modeling or data engineering.</li><li>
Proven hands-on experience in semantic modeling concepts (ontologies, knowledge graphs, property graphs).</li><li>
Expertise in Python for data manipulation, analysis, and pipeline development, including libraries like Pandas/NumPy.</li><li>
Strong understanding of statistical and machine learning concepts (e.g., classification, clustering, regression) and their application to graph-based data.</li><li>
Demonstrated experience with NLP technologies and libraries (e.g., NLTK, spaCy, Gensim, Hugging Face) for text extraction, named entity recognition, or relationship extraction.</li><li>
Strong working knowledge of graph database platforms (e.g., Amazon Neptune, Neo4j, etc.) and graph query languages (e.g., SPARQL or Gremlin).</li><li>
Familiarity with semantic web standards like OWL, RDFS, and SHACL.</li><li>
Experience with relational databases (SQL) and general data warehousing concepts.</li><li>
Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.</li><li>
Experience in an Agile/Scrum environment, iteratively developing and deploying data solutions.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader">NICE TO HAVE:
</h3><ul><li><ul><li>Practical experience with AWS data services (e.g., Glue, Sagemaker) and ETL/ELT methodologies.</li><li>
Understanding healthcare ontologies and standards like SNOMED-CT, LOINC, RxNorm, and ICD-10.</li></ul></li></ul></div></div>
<div><div>$110,000 - $160,000 a year</div><div>
Compensation at IMO Health is determined by job level, role requirements, and each candidate&rsquo;s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses, equity, or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process.</div><div>
IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health's Careers Page.</div></div></div>

Semantic Data Modeler

Blue Cross Blue Shield

<div>This role provides advanced analytical support for clinical market strategy through statistical modeling, valuation, and trend analysis. It contributes to strategic decision-making by developing and implementing models that assess market dynamics and opportunities. The role is highly technical and operates independently, collaborating with internal stakeholders and national peers<div></div><ul><li>
Data Synthesis &amp; Reporting</li><li>
Extract and synthesize data from literature and internal sources to support strategic assessments.</li><li>
Prepare clear, concise reports and visualizations using R, Python, and SQL Communicate findings effectively to senior leadership and cross-functional teams.</li><li>
Clinical Market Modeling &amp; Analysis</li><li>
Develop and apply mathematical, statistical, and econometric models to evaluate clinical market trends and opportunities.</li><li>
Incorporate time-value of money and probabilistic forecasting into market segmentation and valuation.</li><li>
Conduct comparative analysis of modeling methodologies and assess risk and volatility.</li><li>
Technical Execution</li><li>
Maintain and update datasets using backend Linux scripts and SQL queries.</li><li>
Ensure data integrity and reproducibility of modeling outputs.</li><li>
Contribute to the development of reusable frameworks and protocols for future analytics.</li></ul><div></div><div>
The posting range for this position is: 
$113,008.00-$162,551.28 
Qualifications 
 
Education</div><ul><li>
Required Bachelor's Degree ; or equivalent experience</li><li>
Preferred Doctorate in Mathematics, Econometrics, or Statistics; or equivalent experience</li></ul><div>
Experience</div><ul><li>
7+ Years program management experience in a complex environment requiring multiple deliverables and timelines Required</li></ul><div> 
Knowledge Skills and Abilities</div><ul><li>
Technical Skills</li><li>
Advanced proficiency in R and Python for modeling and visualization.</li><li>
Skilled in SQL for data manipulation and extraction.</li><li>
Familiarity with Linux scripting for data operations.</li><li>
Ability to create mathematical and statistical models for hypothesis testing and machine learning, including non-linear, dynamic, and stochastic models.</li><li>
Demonstrated ability to edit complex economic and market reports, to achieve technical accuracy, clarity of expression and consistency of presentation and style. 
 
Other skills</li><li>
Demonstrates creative thinking and adaptability to manage increasing volume and complexity of workload and variety of users.</li><li>
Demonstrated ability to lead quantitative analysis in order to deliver on multiple product lines.</li><li>
Demonstrated ability to manage divergent deliverables with overlapping timetables in a fast-paced business setting</li><li>
Extra Posting Information:</li><li><div>
Minimum 7 years of program management experience in a complex environment requiring multiple deliverables and timelines. 
Experience with mathematical and statistical analytic software, including Stata and Mathematica. 
Experience engaging with national peers skilled in mathematical and statistical modeling.</div></li></ul><div></div><div>
#LI-Hybrid</div><div></div><div><div>
The posted salary range is the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the hiring range and this hiring range may also be modified in the future. A candidate&rsquo;s position within the hiring range may be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs. This job is also eligible for annual bonus incentive pay.</div></div><div><div>
We offer a comprehensive package of benefits including paid time off, 11 holidays, medical/dental/vision insurance, generous 401(k) matching, lifestyle spending account and many other benefits to eligible employees.</div></div><div></div><div><div>
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</div></div></div><div></div>

Health Care Data Lead Analyst

AHOLD Delhaize

<div>Category/Area of Expertise: Data-Science &amp; Analytics 
Job Requisition: 460791 
Address: USA-IL-Chicago-300 South Riverside Plaza
 
Store Code: Data Science (5157583)
 
 
Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop &amp; Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more. 
 
Primary Purpose: 
 
A Data Scientist is a crucial member of the Data Science team. You will be responsible for contributing to the development industry-leading machine learning / AI algorithms. This position is an opportunity to be part of a fast-growing and globally focused network of data scientists, machine learning engineers, and AI practitioners developing novel approaches to personalization and recommender engines. You will have also have access to world class academics though our partnerships and joint contracts with universities, as well as our staff of engineers and researchers. 
 
Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Chicago, IL, Quincy, MA. 
 
Applicants must be currently authorized to work in the United States on a full-time basis. 
 
Duties &amp; Responsibilities: 
<ul><li>
Create algorithms to better personalize every customer touch point</li><li>
Develop our core algorithms with strong methodological rigor</li><li>
Identify strengths, weaknesses, and potential biases of modeling components</li><li>
Consult with our brands and business partners to create ML/AI solutions to their largest business challenges</li><li>
Assist Machine Learning Engineers in the development of SDKs for rapid prototyping and deployment of algorithms</li><li>
Build robust experimentation algorithms to continually improve existing algorithms</li></ul> 

Qualifications: 
<ul><li>
Bachelor's degree in Statistics, Mathematics, Economics; Master's Degree preferred</li><li>
3+ years of applied Data Science experience</li><li>
2+ years of experience deploying, scaling, and continually improving algorithms</li><li>
Broad industry experience with ML/AI/GenAI and commonly used statistical methods</li><li>
Expert recommender systems and personalization algorithms</li><li>
Expert hands-on knowledge of current AI/GenAI solutions</li><li>
Fluent knowledge and experience with using LLMs</li><li>
Above 95th percentile coding ability in Python and PySpark</li><li>
Deep understanding of, and experience applying, the following ML concepts:<ul><li>
Collaborative filtering</li><li>
Linear and scalar algebra</li><li>
Association rule mining</li><li>
Ranking algorithms</li><li>
Advanced regression, classification, clustering, and time series algorithms</li><li>
Automated hyperparameter tuning and model selection</li><li>
Causal inference modeling at scale for algorithm testing and evaluation</li><li>
Deep learning at scale for NLP</li></ul></li></ul> 

Preferred Qualifications: 
<ul><li>
Experience with advanced search concepts using deep learning #DICEJobs #LI-hybrid #LI-SS1</li></ul> 
NC Salary Range: $75,040 - $112,560
 
 
IL/MA Salary Range: $86,320 - $129,480
 
 
All ADUSA job offers take multiple factors into consideration including, but not limited to salary range, internal equity, a candidate's qualifications, geographic region, job-related knowledge and skills.
 
 
This position is eligible for an incentive bonus based on company performance as provided by the plan terms and governing documents. 
 
At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent. 
 
Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies. 
 
Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work. 
 
We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.</div>

Data Scientist

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