Senior Staff Data Scientist, Statistical Genetics

This senior-level position leads teams within Valo Health's Statistical Genetics division, applying their Opal computational platform to identify and validate drug targets using genetic and multi-omic data. The role operates in a multidisciplinary environment alongside biologists, software engineers, and clinical experts.

Key Responsibilities

• Direct project teams of data scientists developing solutions to core scientific problems
• Collaborate with stakeholders to develop project plans, align teams, and establish priorities
• Work with genetic sequencing data, electronic medical records, and multi-omics datasets using R or Python
• Partner with drug discovery and clinical teams to ensure research relevance
• Champion coding standards, code review practices, and team collaboration

Requirements

• BS + 8-10, MS + 5-8, or PhD + 3-5 years in statistical genetics or computational sciences
• Experience leading matrixed teams with proven project management skills
• Demonstrated expertise with GWAS, QTL analysis, Mendelian randomization, and colocalization
• Background analyzing rare genetic variation (LoF analysis, burden testing, variant annotation)
• Experience with UKBiobank or similar integrated genomic/clinical datasets
• Proficiency in Python or R; basic knowledge of the other
• Familiarity with command-line interfaces, Git/version control, and collaborative coding practices
• Experience developing analysis pipelines or software packages

Preferred Qualifications

• Machine learning, probabilistic graphical modeling, or causal inference expertise
• EHR, PII/PHI data, or HIPAA compliance experience
• Cardiometabolic disease research background
• Drug discovery and development experience