Senior Data Scientist
About The Position
Knit Health is seeking an experienced and visionary Senior Data Scientist to help advance our next-generation clinical intelligence platform at a pivotal time in healthcare innovation. We now have an unprecedented window into how clinicians make decisions at the point of care—and your work will turn that information into actionable insights that improve outcomes for patients and providers alike. As a senior member of our growing data science team, you will lead the design, curation, and analysis of complex, multi-system healthcare datasets—including EHR and claims data—powering our clinical foundation model. You’ll also guide model evaluation and methodology, mentor junior data scientists, and collaborate closely with AI engineering and product teams in a dynamic, fast-paced environment.
Requirements
- Bachelor’s or Master’s degree in a quantitative field (e.g., mathematics, computer science, data science, statistics, or related discipline).
- 5–8+ years of experience in data science, analytics, or machine learning.
- Demonstrated experience working with EHR data from multiple health systems and healthcare claims data.
- Proficiency in Python, SQL, and R.
- Hands-on experience with batch processing (e.g., Spark) and distributed data processing frameworks.
- Strong understanding of distributed database management systems and data warehouses (e.g., Snowflake, Redshift, BigQuery).
- Experience with machine learning methods, including deep learning, and associated pipelines (e.g., TensorFlow, PyTorch).
- Strong communication skills with the ability to translate complex analyses into actionable insights for diverse audiences.
- Proven track record of mentoring or managing junior team members.
Nice To Haves
- Experience developing evaluation frameworks for AI/ML models in healthcare.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and their data engineering services.
- Knowledge of natural language processing (NLP) for medical text corpuses.
- Prior work in a startup or high-growth environment.
Responsibilities
- Frame, design, execute and interpret ML-based data analyses in response to specific healthcare use cases.
- Curate, clean, and integrate clinical datasets from multiple health systems to ensure high-quality inputs for model training and evaluation.
- Partner with Data Engineering on the design and implementation of large-scale data processing pipelines using structured and unstructured data (EHR, claims, medical text, ECG, etc.).
- Develop and maintain scalable data infrastructure, including database schemas and batch processing pipelines (e.g., Spark).
- Oversee data governance, quality control, and documentation to ensure reproducibility and compliance.
- Develop and refine evaluation frameworks that assess how models capture and represent clinical reasoning.
- Translate model outputs into clinically meaningful insights and metrics for diverse audiences.
- Collaborate with AI engineering to optimize models for performance, scalability, and real-world clinical relevance.
- Manage and mentor junior data scientists, fostering technical growth and best practices in modeling and analytics.
- Partner with product and engineering teams to align data science goals with product strategy and customer needs.
- Communicate complex technical concepts clearly to clinicians, stakeholders, and non-technical partners.
Benefits
- medical, dental, and vision coverage with 100% of premiums paid for employees and dependents (full coverage for dental, vision, and our Gold medical plan; employees may choose to buy up to Platinum); coverage begins on the first day of employment.
- 401(k) plan
- 24 days of PTO annually.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
