Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI/Healthcare): Building, validating, and operationalizing predictive diagnostic AI models for rare disease detection with an accent on feature engineering, NLP, and production deployment. Focus on optimizing patient intake experience, establishing MLOps infrastructure, and developing synthetic patient data pipelines.

Location: Hybrid in San Francisco, CA

Salary: $180,000 – $230,000

Company

A healthcare data platform using AI and machine learning to discover and diagnose patients with severe, complex rare diseases to accelerate treatment access.

What you will do

• Lead end-to-end development and operationalization of predictive diagnostic AI models from feature engineering to production.
• Execute prospective testing experiments to track outcomes and continuously improve model performance.
• Develop and maintain synthetic patient data pipelines for research programs and model development.
• Optimize the patient intake experience using NLP and multimodal data analysis.
• Manage AI stack costs and performance through prompt engineering and rigorous model evaluation.
• Establish MLOps infrastructure, including model monitoring, drift detection, and API observability.

Requirements

• 7+ years of experience in data science, machine learning engineering, or a related field.
• Strong proficiency in Python and the core data science stack: pandas, NumPy, scikit-learn, PySpark, and SQL.
• Proven experience taking ML models from problem definition through deployment and monitoring in production.
• Experience with NLP techniques and applying language models to real-world problems.
• Comfort with prompt engineering and evaluating external AI API performance (e.g., OpenAI).
• Must be based in or able to work hybrid in San Francisco.

Nice to have

• Experience with Databricks or similar lakehouse/ML platform environments.
• Familiarity with synthetic data generation techniques.
• Domain knowledge in healthcare, rare disease, genomics, or clinical research.
• Experience building MLOps observability infrastructure from scratch.

Culture & Benefits

• Competitive salary and meaningful early-stage equity grants.
• Generous Flexible Time Off policy and 12 weeks of parental leave.
• Hybrid, high-trust work environment with a pet-friendly office in Downtown SF.
• Comprehensive health benefits including medical, dental, vision, therapy, FSA, and 401k.
• "Work from anywhere" perk for up to 4 weeks per year and regular team retreats.