Remote Senior Scientist

Summary

Join us at insitro, a drug discovery and development company using machine learning (ML) to decode biology for transformative medicines. We're seeking a leader to integrate human genetics data with multidimensional phenotypic and omic data to identify and validate drug targets across our core therapeutic areas.

Requirements

• PhD or MD/PhD in statistical genetics/genomics, bioinformatics/data science, computational biology, systems biology, machine learning, or equivalent
• 7+ years experience in statistical and translational genetics, and work relating to target discovery with genetic and genomic datasets, in a role involving translational science or drug development with relevant industry experience
• Track record of using unbiased, data-driven approaches integrating human genetics with diverse and multi-dimensional datasets
• Demonstrated ability to execute human genetics studies delivering novel genetic findings and medically relevant gene discoveries in a team-based environment
• Experience with key tools and techniques in statistical genetics, including phewas, e/pQTL analysis, fine-mapping, meta-analysis, PRS, pleiotropy analysis, Mendelian randomization etc
• Experience with scientific programming in Python/R/Linux, including expertise using numpy, scipy, bioconductor, or similar toolkits
• Commitment to writing reusable code and documentation and familiarity with coding best practices (e.g. source control, unit testing)
• Comfortable working independently as well as leading scientific teams and large-scale projects, with experience in goal setting
• Strong communication and collaboration skills, the ability to work effectively with cross-functional teams and external partners
• Experience working in a fast-paced and dynamic environment, with the ability to adapt to changing priorities and timelines

Responsibilities

• Apply best practices statistical genetics techniques to drive novel target discovery across our therapeutic areas
• Collaborate with a multidisciplinary team consisting of human genetics scientists, statistical geneticists and other team members to design, execute and interpret genetics studies in multiple disease indications
• Deep dives into targets of interest, disentangling correlated from causal associations
• Close collaboration with therapeutic area heads to design follow up experiments, and to triage results from these experiments
• Generate, summarize, contribute to the writing of scientific reports and present results in internal and external meetings to a variety of audiences
• Contribute to formulating insitro's long-term therapeutic strategy in neuroscience, metabolic disease and oncology
• Define and evaluate novel biomarkers and phenotypes from clinical datasets and ML workflows
• Guide the use of cutting edge machine learning models and statistical genetics analyses in large-scale genetic human cohorts with rich and multi-modal phenotypic data in order to advance our therapeutic programs and guide in vitro disease model development
• Lead efforts to relentlessly follow up on novel candidate targets with the goal of producing viable therapeutic interventions and identification of genetically-defined patient populations that might benefit from them

Benefits

• 401(k) plan with employer matching for contributions
• Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees on our base plans), as well as mental health and well-being support
• Open, flexible vacation policy
• Paid parental leave
• Quarterly budget for books and online courses for self-development
• Support to occasionally attend professional conferences that are meaningful to your career growth and development
• New hire stipend for home office setup
• Monthly cell phone & internet stipend