Note: The job is a remote job and is open to candidates in USA. CVS Health is focused on transforming healthcare through advanced analytics and clinical informatics. The Data Scientist - Clinical AI will work on leveraging clinical data to improve health outcomes and support decision-making processes across the organization.
Responsibilities
- Extract signal from unstructured clinical text
- Build and fine-tune Small Language Models (SLMs)
- Utilize LLMs where applicable
- Develop predictive analytics solutions
- Conduct rigorous Exploratory Data Analysis (EDA)
- Communicate findings clearly
- Collaborate across teams
- Stay current and stay curious
- Uphold data governance standards
Skills
- 2+ years of experience in data science, machine learning, or applied NLP — preferably in healthcare or a similarly regulated domain
- Hands-on experience with NLP — text preprocessing, tokenization, named entity recognition (NER), text classification, topic modeling, or similar techniques applied to real-world unstructured data
- Practical experience with LLMs and/or SLMs — prompt engineering, fine-tuning, RAG architectures, evaluation frameworks, or deploying language models in production or research settings
- Strong foundation in traditional machine learning — supervised and unsupervised methods, feature engineering, model selection, cross-validation, and performance evaluation
- Best coding practices – you use version control (Git/Github), commit your work regularly, write clean and reproducible code, and understand that well-organized repositories are as important as well-build models
- Deep EDA skills — ability to systematically explore datasets, identify data quality issues, surface insights, and make informed decisions about modeling approach before writing a single line of model code
- Proficiency in Python (pandas, scikit-learn, PyTorch or TensorFlow, Hugging Face Transformers) and SQL for working with large-scale healthcare datasets
- Experience with cloud-based data and ML platforms, preferably Google Cloud Platform (GCP) — BigQuery, Vertex AI, or equivalent
- Excellent presentation and communication skills — you can stand in front of a room and clearly explain what you built, why you built it that way, and what it means for the business
- Judgment and common sense — you understand that not every problem needs an LLM, you meet your deadlines, you ask for help when you're stuck, and you don't over-engineer solutions
- A genuine curiosity and desire to learn — you read papers, you try new tools, you ask 'why,' and you're energized by problems you haven't solved before. You know when a rabbit hole is worth diving into and when to pull back, stay focused, and deliver
- Experience working with clinical text data — clinical notes, discharge summaries, pathology reports, or similar unstructured healthcare documents
- Knowledge of clinical coding systems and terminologies (ICD-10, SNOMED-CT, LOINC, RxNorm, CPT, NDC, UMLS) and their relevance to NLP pipelines
- Familiarity with clinical data standards (HL7, FHIR, CCD/C-CDA) and common data models (e.g., OMOP)
- Experience building or contributing to clinical NLP pipelines — entity extraction, relation extraction, negation detection, or section segmentation from clinical narratives
- Experience with model evaluation in clinical contexts — understanding of sensitivity/specificity tradeoffs, clinical validation, and responsible AI practices in healthcare
- Familiarity with MLOps practices — model versioning, experiment tracking, CI/CD for ML, model monitoring
- Experience working directly with clinical stakeholders (physicians, nurses, clinical operation teams, etc) and tailoring presentations, findings, and recommendations to the appropriate audience level – from executive summaries for leadership to detailed methodology reviews for technical notes
- Privacy, security, and compliance experience: HIPAA/HITRUST, de-identification/tokenization, PHI handling
Benefits
- 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 full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families.
- The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
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