Data Scientist

Role: Data Scientist

Department: Clinical and Population Health Analytics
Location: Remote (United States)
Schedule: Full-time | Day shift
Salary: $96,208.99 - $134,109.89 per year

How you’ll make an impact

• Build & Refine: Assist in building, testing, and refining predictive machine learning models and text-based Generative AI tools.
  • Use Vertex AI and modern NLP frameworks under guidance from senior team members.
• Process & Analyze: Extract, clean, and preprocess structured healthcare data (EHR, billing, claims).
  • Perform feature engineering to address noise, missingness, and complex clinical data structures.
• Evaluate & Test: Conduct model evaluation, benchmarking, and error analysis.
  • Assess performance metrics along with clinical safety, fairness, and potential algorithmic bias.
• Collaborate & Learn: Translate clinical questions into structured analytics/technical tasks with senior data scientists and clinical mentors.
• Document & Handoff: Write clean, well-documented code and maintain project documentation in GitHub.
  • Support model deployment and integration with MLOps pipelines.

Minimum requirements

• High school diploma equivalency with 2 years of cumulative experience OR Associate’s/Bachelor’s degree OR 4 years of applicable cumulative job-specific experience.

Additional preferences

• Bachelor’s/Master’s/PhD in Data Science, Computer Science, Health Informatics, Statistics, or a related STEM field.
• Interest in learning healthcare data standards and clinical coding structures (e.g., ICD-10, CPT).
• Core skills:
  • Python (pandas, NumPy, scikit-learn)
  • SQL (BigQuery/relational databases)
  • Git/GitHub
• AI & NLP exposure: LLM concepts, prompt engineering, or GenAI/NLP frameworks such as Hugging Face, LangChain, or Google Vertex AI.
• Strong analytical problem-solving and ability to communicate findings to both technical and clinical stakeholders.