Senior Data Scientist, Valo Health

• We are looking for data scientists who can match scientific breadth with technical excellence
• BS + 4-8, MS + 3-5 or PhD + 0-3 years experience in statistical genetics, computational sciences (eg, computational biology, molecular biology), or related fields
• Experience performing and working with results of genetically anchored studies:
• Demonstrated experience with the computation and application of polygenic risk scores (PRS) and analysis of rare genetic variation (LoF analysis, burden testing)
• Familiarity with genome-wide association studies (GWAS), computing (omic)QTL, Mendelian randomization, and colocalization, and other functional genomics techniques are a plus
• Expertise in statistical genetics, exploratory data analysis, and data visualization, with a demonstrated business or scientific impact
• Experience developing analysis pipelines and software packages
• Proficient in Python or R programming and at least basic knowledge of the other
• Experience in writing / developing code using version control (e.g., git) and collaborative code writing practices such as code review

Desirable

• As a Senior Data Scientist on the Statistical Genetics team in the Translation Data Science Group, you will contribute to building a computational platform that will change the way we identify and validate drug targets
• You will work in a multidisciplinary environment alongside data scientists, biologists, software engineers, and clinical development experts in building a powerful computational platform for advancing the discovery and development of new medicines
• Using unique and diverse human-centric datasets, we will solve challenging problems at the interface of scientific discovery, methodology, technology, and software
• In this role, you will be responsible for designing experiments and workflows that leverage cutting edge genetics approaches to discover and develop drug treatments using genetic, multi-omic, and clinical data
• Successful candidates will work with a diverse set of scientists, entrepreneurs, and domain experts in ways that cut across traditional industry boundaries
• 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. Many of the challenges we’re trying to address don’t have known solutions or clear processes to arrive at answers
• Use your technical knowledge and intuition to articulate and break down large problems into solvable pieces. There are a lot of problems to solve; you’ll need to prioritize which of these are critical today from those that can wait
• 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