Mavericks Wanted

When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement…read on
 
In 2015, we pioneered a “moneyball for biotech” approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible. 
 
Together we define white space, push boundaries and empower people to solve problems. If you’re someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we’ll ask “why not?” and help reengineer the future of biopharma.

What You’ll Do

The Computational Genetics team is seeking a full-time Associate Statistical Geneticist/Computational Biologist who will focus on extracting insights from a diverse set of data. The team provides data driven insights to make critical decisions for pursuing new opportunities and advancing internal development projects. The role involves leveraging methods from multiple disciplines including computational genetics, statistical inference, machine learning, and simulation frameworks. This position will also build and maintain computational tools and infrastructure for streamlined and reproducible analyses.

Responsibilities

• Design, execute, and interpret genetics studies using diverse quantitative and binary traits from large-scale cohorts to drive the development of internal programs and external opportunities through asset acquisition
• Integrative analysis of genetic and EHR data to support the discovery and validation of targets/biomarkers for clinical development
• Communication of discoveries to internal teams with a variety of backgrounds (including but not limited to biologists, statisticians, physicians, and specialists in business development & asset acquisition) and to the broader scientific community through presentations and publications
• Stay at the leading edge of human genetics (state-of-the-art algorithms/methods/tools and data resources) and be able to discuss these new developments with both experts and non-experts

Where You’ll Work

This is a U.S.-based remote role that will require quarterly, or as needed, visits to our San Francisco office.

Who You Are

• PhD in Statistical Genetics, Human Genetics, Computational Biology, or related disciplines with 0-2 years of industry or postdoctoral experience
• Extensive experience with QC, analysis, and interpretation of human genetics data (single variant and gene-based association analysis using WES/WGS/array genotyping data)
• Basic understanding of the architecture and analytics of EHR data from the UK Biobank or other resources (e.g., All of Us, Genomics England). Hands-on experience is strongly preferred
• Familiarity with databases that house genomics data (including but not limited to UK Biobank, All of Us, Genomics England, gnomAD, 1000 Genomes, and TOPMed). Hands-on experience is strongly preferred
• Proficiency in at least one major programming language (ideally Python or R)
• Working knowledge of Unix/Linux and cloud computing (AWS) environment
• Outstanding written and verbal communication skills in conveying analysis results to both experts and non-experts in the field
• Proven record of success by publications in peer-reviewed journals and/or conference presentations

Preferred

• Experience with population stratification, Mendelian randomization, polygenic risk score (PRS) analysis, and/or gene-environment interaction analysis is strongly preferred
• Experience with biomarker discovery
• Experience in rare disease research
• Basic understanding of multi-omics data (transcriptomic, proteomic, epigenomic, chromatin accessibility, etc). Hands-on experience is strongly preferred
• Experience with analysis of imaging data (e.g., MRI, IHC)
• Knowledge of relational databases (SQL, Postgres, etc.) and experience extracting information from such databases
• Version control with git, which includes using branches locally, setting up and managing remote repositories, collaborating on a remote repository, working with protected branches, and submitting and resolving merge requests

Rewarding Those Who Make the Mission Possible

We have high expectations for our team members. We make sure those working hard for patients are rewarded and cared for in return. 

Financial Benefits:

• Market-leading compensation 
• 401K with 100% employer match on first 3% & 50% on the next 2%
• Employee stock purchase program
• Pre-tax commuter benefits
• Referral program with $2,500 award for hired referrals

Health & Wellbeing:

• Comprehensive health care with 100% premiums covered – no cost to you and dependents
• Mental health support via Spring Health (6 therapy sessions & 6 coaching sessions)
• Hybrid work model – employees have the autonomy in where and how they do their work 
• Unlimited flexible paid time off – take the time that you need
• Paid parental leave – 4 months for birthing parents & 2 months for non-birthing parents
• Flex spending accounts & company-provided group term life & disability 
• Subsidized lunch via Forkable on days worked from our office

Skill Development & Career Paths:

• People are part of our growth and success story – from discovery to active drug trials and FDA pipelines, there are endless opportunities for skill development and internal mobility
• We provide career pathing through regular feedback, continuous education and professional development programs via LinkedIn Learning, LifeLabs, Spring Health & BetterUp Coaching
• We celebrate strong performance with financial rewards, peer-to-peer recognition, and growth opportunities