Principal Scientist
Real World Evidence, Remote U.S
Posted on 2/6/2024
GRAIL

1,001-5,000 employees

Designs cancer screening tests
Company Overview
GRAIL's mission is to detect cancer early, when it can be cured. They are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.
Data & Analytics

Company Stage

N/A

Total Funding

$11B

Founded

2016

Headquarters

Menlo Park, California

Growth & Insights
Headcount

6 month growth

4%

1 year growth

8%

2 year growth

22%
Locations
Menlo Park, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
R
SQL
Data Analysis
CategoriesNew
Data & Analytics
Requirements
  • Ph.D. with 12+ years relevant experience or M.S. with 15+ years relevant experience in data science, applied mathematics, biostatistics, epidemiology or similar
  • Experience in Oncology or diagnostic devices is strongly preferred
  • Expertise in R or Python
  • Solid understanding of statistics and machine learning techniques
  • Deep knowledge of real world data to real world evidence journey
  • Experience in developing harmonized data models for RWD
  • Experience in working with Clinical Data Management, Statistical Programming, Biostatistics, and Software teams
  • Good knowledge of international regulatory and other guidelines
  • Good communication and collaborations skills
  • Good strategic ability
  • Clear, positive, and proactive communicator in verbal and written communications
  • Willingness to be hands-on and solve technical problems
Responsibilities
  • Develop harmonized data models/ data dictionaries for healthcare RWD
  • Evaluate new and existing data sources for fitness & feasibility
  • Ensure data quality, privacy and security
  • Explore development of new approaches to RWD capture through GRAIL-sponsored studies
  • Collaborate with cross functional stakeholders to develop and implement shared data processing strategies
  • Collaborate with Biostatistics group in developing statistical methods
  • Remain up-to-date on the latest advancements in observational research methods and their applications
  • Build and maintain cross-functional relationships with Medical Affairs, Clinical Development, Regulatory, and business teams
  • Drive the evaluation of technical strengths/weaknesses and influence the decision-making process
  • Contribute to scientific publications, conference presentations, and internal knowledge sharing activities
  • Mentor junior members of the team
Desired Qualifications
  • Direct experience in SQL
  • Experience in the design, execution and reporting of regulatory-grade real-world data studies in the cancer screening, diagnostic, medical device, or pharmaceutical industry