Data Scientist - Clinical AI
At a glance
Mid-level AI Research role at Cvshealth. Remote, United States · full-time · $79,310–$158,620 base.
remoteroles summary, based on the employer's posting.
What you'll do
- Analyze structured and unstructured clinical data to guide product and modeling choices
- Build and refine statistical, machine learning and generative AI models with senior colleagues’ direction
- Use language models and NLP to pull information from clinical documents and organize or summarize it
- Check model results and help track the quality, reliability and effectiveness of deployed solutions
- Share findings through dashboards, visualizations and technical documentation while working with cross-functional teams
What you bring
- At least one year in data science, analytics, machine learning or a related area
- You can use Python and SQL to investigate data and answer analytical questions
- You have applied statistics, machine learning, NLP or generative AI methods
- You can explain analytical results through written material, visuals or presentations
- A bachelor’s degree in a related discipline or equivalent work experience
Who this fits
This mid-level, full-time remote role suits someone ready to develop clinical AI with guidance from senior team members. You’ll work with technical, product and clinical partners, and apply policy, regulatory and responsible AI requirements throughout development.
From the employer
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Overview
CVS Health is seeking a Data Scientist to join its enterprise clinical intelligence platform team. AI is unlocking new possibilities in healthcare at an unprecedented pace, and that progress comes with a responsibility to build capabilities that are clinically rigorous, ethically grounded, and worthy of the trust patients and providers place in them.
This role will analyze clinical data and develop AI and machine learning solutions that generate evidence-backed insights for use cases across CVS Health. The Data Scientist will work closely with experienced data scientists, engineers, product managers, and clinical partners to build, evaluate, and improve solutions used in production.
What You’ll Do
Develop subject matter expertise in clinical data and its application to healthcare problems.
Explore, analyze, and summarize large structured and unstructured datasets to inform product and modeling decisions.
Develop, validate, and improve statistical, machine learning, and generative AI solutions under the guidance of senior team members.
Apply large language models and natural language processing techniques to extract, structure, and summarize information from clinical documents.
Evaluate model performance and help monitor solution quality, reliability, and effectiveness in production.
Collaborate with data scientists, data engineers, machine learning engineers, product managers, and clinical partners to implement AI solutions.
Create dashboards, visualizations, and technical documentation that clearly communicate findings and solution performance.
Apply CVS Health policies, regulatory requirements, and responsible AI standards throughout the model development lifecycle.
Required Qualifications
1+ years of experience in data science, analytics, machine learning, or a related field.
Experience using Python and SQL to analyze data and solve analytical problems.
Experience applying statistics, machine learning, natural language processing, or generative AI techniques.
Experience communicating analytical findings through documentation, visualizations, or presentations.
Preferred Qualifications
Experience working with healthcare, clinical, claims, or other sensitive data.
Experience analyzing unstructured text with large language models.
Experience with cloud-based data and AI platforms, preferably Google Cloud Platform.
Familiarity with tools such as BigQuery, Vertex AI, Dataproc, or Cloud Composer.
Ability to collaborate effectively within a cross-functional team and work through technical problems with guidance.
Education Requirements
Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Data Science, Economics, Physics, Engineering, Biomedical Engineering, Clinical Informatics, Bioinformatics, Health Informatics, or a related discipline.
Master’s degree preferred.
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$79,310.00 - $158,620.00This 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 offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
AI Research work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
AI ResearchRemote$70k+
Find me workBy the team behind remoteroles.