Senior Data Scientist

Statistical Genetics

Posted on 2/23/2024

Valo Health

Valo Health

51-200 employees

AI-driven drug discovery and development

AI & Machine Learning
Data & Analytics


Cambridge, MA, USA

Required Skills
  • BS + 4-8, MS + 3-5 or PhD + 0-3 years experience in statistical genetics, computational sciences
  • Experience in performing and working with results of genetically anchored studies
  • Proficient in Python or R programming and at least basic knowledge of the other
  • Familiarity with working in a command line interface
  • Familiarity with version control (e.g., git) and code review
  • Work as a member of a team of world-class data scientists developing and deploying robust, generalizable solutions to core scientific problems
  • Leverage genetic data to help identify or validate a target for a specific indication and communicate the results to a diverse set of stakeholders
  • Have the opportunity to work with a diverse array of data spanning electronic medical records, genetic sequencing data, multi-omics data, and other data modalities using R or Python in cloud environments
  • Be comfortable with scientific uncertainty and embrace curiosity and creative solutions
  • Use your technical knowledge and intuition to articulate and break down large problems into solvable pieces
  • Collaborate with drug discovery and clinical development teams to help ensure the relevance and impact of the insights generated by you and your teammates
  • Be a dynamic and active team member, championing and adopting shared coding standards, participating in code review, and providing regular updates of your work and input into the work of your colleagues

Valo Health specializes in utilizing their proprietary Opal Computational Platform™ to integrate high-quality patient data with AI-driven technologies. This approach not only speeds up drug discovery and development but also enhances the accuracy and effectiveness of their pharmaceutical solutions across numerous disease areas. Valo Health offers a dynamic work environment where employees engage with cutting-edge technology and contribute to significant advancements in healthcare. The company's commitment to leveraging machine learning and tissue biology to understand and treat diseases positions it as a leader in the biotechnology industry, providing a compelling reason for professionals seeking impactful and forward-thinking career opportunities.

Company Stage

Series C

Total Funding



Boston, Massachusetts



Growth & Insights

6 month growth


1 year growth


2 year growth