Lead Medical Data Scientist

5 days ago

Palo Alto, California, United States Latica Full time $150,000 - $250,000 per year
About Latica

At Latica, our goal is to unlock the value of healthcare data to transform patient care.

Latica is a secure data network and medical intelligence platform that allows the healthcare ecosystem to safely access de-identified real-world data and accelerate diagnostic and therapeutic innovation.

Our platform enables fast, compliant access to diverse clinical data, advancing R&D for diagnostics, therapeutics, pharmaceutical studies, and medical devices. Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity.

We look for people who are smart, open, and enjoyable to work with. We invest in high-potential, humble team members who grow their responsibilities as the company scales.

What You'll DO

Lead end-to-end medical research projects with top-tier life science companies:

  • Conduct EMR data exploration and extract relevant clinical features.

  • Apply LLM-based feature engineering to transform unstructured data into clinical insights.

  • Support clinical protocol design from a data and feasibility perspective.

  • Perform statistical analyses and present results to clients (dashboards, publications, presentations).

Become a subject matter expert in our proprietary healthcare data:

  • Develop cross-client pipelines to support our data infrastructure and product.

  • Build diverse patient cohorts and datasets to continuously enrich Latica's data catalog.

Requirements


• 5+ years of experience as a Data Scientist or in a similar analytical role within the healthcare industry (required).


• Experience in client-facing roles and working with pharmaceutical or life sciences companies (required).


• Advanced proficiency in SQL.


• Strong experience with Python.


• Deep familiarity with Electronic Medical Records (EMRs) and healthcare coding systems (CPT, ICD-10, etc.).


• Experience with cloud infrastructure platforms (AWS/GCP) — preferred.


• A collaborative team player who is self-motivated, quick to learn, and possesses excellent analytical, research, and business acumen.

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