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Clinical Data Scientist

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Latica

11 - 50 employees

Founded 2019

πŸ₯ Healthcare

πŸ€– Artificial Intelligence

☁️ SaaS

πŸ’° Seed Round - Latica (Formerly Lynx.MD) on 2024-01

Healthcare β€’ Artificial Intelligence β€’ SaaS

Latica is a healthcare data platform that provides secure access to large-scale real-world specialty medical data β€” both structured and unstructured (images, physician notes, video, labs, and other clinical records). It enables practices, medtech firms, and life sciences organizations to accelerate R&D, clinical development, AI model training (including LLMs), comparative effectiveness research, and operational improvements through a secure research environment and advanced analytics. Latica highlights large coverage (e. g. , 250M+ patient encounters, 40M+ patients, 29M+ notes, 45M+ lab records) and positions itself to break down data silos across the patient journey.

πŸ“‹ Description

β€’ Lead end-to-end medical research projects with top-tier life science companies. β€’ Conduct EMR data exploration and extract relevant clinical features. β€’ Apply LLM-based feature engineering to transform unstructured data into clinical insights. β€’ Support clinical protocol design from a data and feasibility perspective. β€’ Perform statistical analyses and present results to clients (dashboards, publications, presentations). β€’ Become a subject matter expert in our proprietary healthcare data. β€’ Develop cross-client pipelines to support our data infrastructure and product. β€’ Build diverse patient cohorts and datasets to continuously enrich Latica’s data catalog.

🎯 Requirements

β€’ 5+ years of experience as a Data Scientist or in a similar analytical role, with 3+ years in the healthcare industry (required). β€’ Experience in client-facing roles and working with pharmaceutical or life sciences companies (required). β€’ Advanced proficiency in Python and SQL. β€’ Deep familiarity with Electronic Medical Records (EMRs) and healthcare coding systems (CPT, ICD-10, etc.). β€’ Experience with cloud infrastructure platforms (AWS/GCP) β€” preferred. β€’ A collaborative team player who is self-motivated, quick to learn, and possesses excellent analytical, research, and business acumen.

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