Senior / Lead Genetic Data Scientist, Statistical Geneticist

Key Skills

AWS, C Programming, C++, Cloud computing, Google Cloud Platform (GCP), Python Programming, R Programming, RNA-seq Data processing, SQL, Statistical modeling

Job Description

Key to insitro’s approach to rethinking drug development is linking in vitro cellular phenotypes with patient phenotypes. As a Statistical Geneticist, you will lead the development of cutting edge statistical approaches and workflows to analyze large-scale human cohorts with genetic and multi-dimensional, multi-modality phenotypic data. These will be obtained from public sources, as well as private datasets generated in-house and obtained through our collaborations. You will use genetic association and other statistical genetics techniques that involve integration of genetic, genomic and clinical data to guide in vitro disease model development. You will also work closely with a cross-functional team of life scientists, bioengineers and machine learning scientists to integrate human level data with our high-throughput in-house in vitro genomic and phenotypic data to identify therapeutic targets and develop drugs that have high efficacy and low toxicity.

You will be joining a biotech startup that has long-term stability due to significant funding, providing many opportunities for meaningful impact. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!

About You

• Ph.D. in statistics, genetics, computational biology or a related discipline, or equivalent practical experience
• Demonstrated ability to use and develop cutting edge methods for analyzing human genetic data
• Hands on experience with genetic association testing (eQTL mapping, GWAS, EWAS, PheWAS, etc.) and/or post-association analysis using summary statistics (fine mapping, colocalization, LD score regression, meta-analysis, etc.)
• Experience mining modern, large-scale genetic databases (e.g. ExAC/gnomAD, UK Biobank, UK10K, EBI GWAS Catalog, 1KG, etc.)
• Strong fundamentals in applied multivariate statistics; experience working with statistical models for complex datasets, effectively measuring goodness of fit and estimating confidence
• Proficiency in working with large-scale datasets in Python; experience with R, C/C++ or other compiled, statically typed languages is a plus
• Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
• Passion for making a difference in the world

Nice to Have

• Experience working with multi-dimensional phenotypes
• Experience working with genomic data from different modalities (DNA sequencing, RNA-seq, proteomics, DNA accessibility assays, etc.)
• Experience integrating genetic studies from diverse populations, including correcting for population structure, ethnicity or differences between genotyping platforms
• Experience applying quantitative trait loci (QTL) approaches to clinical data, including imaging data
• Familiarity with cloud computing services (e.g., AWS or GCP) and workflow management tools or batch scheduling systems (e.g. SLURM)
• Proficiency in Linux environment (including shell/Bash scripting), experience with database languages (e.g., SQL) and experience with version control practices and tools (e.g. Git)

Compensation & Benefits at insitro

Our target starting salary for successful US-based applicants for this role is $150,000 - $200,000. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, the level at which they are actually hired, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. 

This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.

In addition, insitro also provides our employees:

• 401(k) plan with employer matching for contributions
• Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), 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
• Access to free onsite baristas and cafe with daily lunch and breakfast
• Access to free onsite fitness center
• Commuter benefits