Back
Company hidden
updated 24 days ago

Clinical Data Scientist (AI)

Work format
remote (only USA)
Work type
fulltime
Grade
senior
English
b2
Country
US
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
Plus is required to make matches and apply

Match & Cover letter

Plus required for matching with this vacancy

Job description

Text:
/
TL;DR
Clinical Data Scientist (AI) (Python/SQL/Healthcare Data): Leading end-to-end medical research projects and transforming EMR data into clinical insights with an accent on LLM-based feature engineering, statistical analysis, and clinical protocol feasibility. Focus on building patient cohorts, developing cross-client data pipelines, and presenting research results to life science clients.

Location: Remote within the United States

Company

Latica is a healthcare data network and clinical AI platform that provides compliant access to de-identified real-world data for diagnostics, therapeutics, pharmaceutical studies, and medical devices.

What you will do

  • Lead end-to-end medical research projects for life science clients.
  • Explore electronic medical record data and extract relevant clinical features.
  • Apply LLM-based feature engineering to convert unstructured data into clinical insights.
  • Support clinical protocol design through data analysis and feasibility assessment.
  • Perform statistical analyses and present findings through dashboards, publications, and presentations.
  • Develop cross-client data pipelines and build patient cohorts to enrich the healthcare data catalog.

Requirements

  • 5+ years of experience as a Data Scientist or in a similar analytical role, including 3+ years in healthcare.
  • Experience in client-facing work with pharmaceutical or life sciences companies.
  • Advanced proficiency in Python and SQL.
  • Strong knowledge of EMRs and healthcare coding systems such as CPT and ICD-10.
  • Excellent analytical, research, and business judgment with a self-motivated, collaborative working style.

Nice to have

  • Experience with AWS or GCP cloud infrastructure.
  • Experience with R, large language models, or data pipelines.

Culture & Benefits

  • Work remotely within the United States.
  • Collaborate with experienced professionals in healthcare, data science, AI, and cybersecurity.
  • Grow responsibilities as the company scales.

Be careful: if the employer asks you to log into their system using iCloud/Google, send codes/passwords, or run code/software, don't do it - these are scammers. Always click "Report" or contact support. More in guide →