Real-World Data
Rwd, Epidemiologist
Posted on 3/24/2023
INACTIVE
Picnic Health

201-500 employees

Transforms medical records into research-ready datasets.
Company Overview
PicnicHealth stands out in the healthcare industry by empowering patients with control over their medical records while simultaneously creating comprehensive, clinically-rich datasets that accelerate the development of effective treatments. Their unique approach combines advanced machine learning with human curation to transform complex medical records into structured, research-ready data, a strategy that has attracted partnerships with major life sciences companies and over $100M in funding. With a dedicated team ensuring patients' medical timelines are consistently updated, PicnicHealth ensures a seamless experience for users and a valuable resource for medical research.
AI & Machine Learning
Data & Analytics
Social Impact
B2B

Company Stage

Series C

Total Funding

$174.1M

Founded

2014

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

0%

1 year growth

2%

2 year growth

38%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Requirements
  • You have worked with medical records and claims data in the biopharmaceutical or RWD industry
  • You have a track record of producing scientific publications using RWD or other observational datasets
  • You have led research projects in the pharmaceutical context
  • You have 3 or more years relevant experience
  • Masters in Health Services Research, Public Health, Epidemiology, or a related field
  • Intellectual curiosity and independence, has the ability to self-start and self-teach
  • Proactive, responsive, and able to balance shifting priorities to ensure that expectations are met and exceeded
  • Strong organizational skills and attention to detail
  • Ability to forge and manage significant relationships within the organization and with external stakeholders
  • Superior communication skills and the ability to question the status quo
  • Basic data analytic proficiency using a statistical package (R, SAS, Stata, etc.) and SQL
Responsibilities
  • Design data models for structuring and abstracting research data from patients' medical records
  • Work with cross functional internal teams to ensure successful generation and delivery of high quality real world data
  • Work with our partners, clinical, and data science teams to design studies using real world data
  • Support and work directly with external research partners to ensure their success, manage client interactions and outreach to ensure exceptional client satisfaction
  • Aid the commercial team in generating RWD-related sales & marketing materials