Variant Bio is a Seattle-based biotech company entering a rapid growth stage having recently closed a $100mm+ Series B. The company was started because we believe that human genetics has the power to transform drug development. We are working towards developing therapies to improve global health by studying the genes of people who are outliers for medically relevant traits. To facilitate this, we have built proprietary genomics and phenotyping platforms that allow us to dramatically reduce the cost of genomic studies and identify genetically-validated targets for therapeutic development.

All of our studies are co-designed with local partners: community groups, academics, and hospitals around the world, and we built Variant Bio from the ground up with ethics at its foundation. We recognize the contribution of our partners through an industry leading benefit-sharing program that dedicates 4% of our revenue and equity value to support local healthcare, sustainable development, education, research, and capacity-building initiatives.

Variant Bio is an equal opportunity employer that guarantees a work environment that respects and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Job Description

We seek an exceptionally collaborative computational biologist with experience in translating genetic associations into actionable therapeutic targets to be part of a truly integrated R&D team. The ideal candidate will not only have experience with a range of computational tools and techniques employed to discover and develop human therapeutics and biomarkers, but also have experience working alongside experimentalists to drive toward a common goal.  Since we are an actively growing start-up, we also seek creative thinkers, agile learners and candidates with an unwavering willingness to do what is necessary to help build the company and mature a human-genetics-backed therapeutic pipeline. Our current disease areas of interest include kidney disease, liver disease, inflammation, and neurodegenerative disorders.

Responsibilities

  • Employ and/or develop computational methods to link disease-causing genetic variants to their relevant genes, cell types, molecular pathways and disease phenotypes.
  • Analyze internal and external RNA-seq, single cell RNA-seq, and other omics datasets to evaluate expression of relevant genes and pathways.
  • Participate in the design and interpretation of preclinical functional genomics experiments aimed at understanding the role of genetic variation to disease and how to exploit those understandings to develop therapeutic opportunities. 
  • Suggest opportunities for disease pathway modulation and identify appropriate repurposing opportunities if they exist.
  • Contribute to deep dives into our primary disease areas and GWAS-identified targets to help build and support a competitive R&D pipeline.  
  • Collect and organize pathway, GWAS and functional genomics datasets for our top disease areas; perform additional analyses where needed.
  • Recommend new or additional computational biology capabilities as needed.
  • Work together with internal computational geneticists to advance genetic findings.  
  • Effectively communicate scientific results to internal and external audiences, and advise on computational and data science best practices when necessary.
  • Contribute to scientific publications.

Qualifications

  • A Ph.D. or Masters degree in a computational or biology discipline. 
  • Experience with primary and secondary analyses of preclinical biological experimentation, including -omics and/or imaging data sets.
  • Familiarity with the process by which therapeutics and/or diagnostics are discovered and developed.
  • Familiarity with publicly available databases and user interfaces for the investigation of genetics, biology and human disease data.
  • Strong people skills with an ability and willingness to work on a multidisciplinary R&D team.
  • Independent, creative, detail-orientated, and a critical thinker. 
  • Disease area, public health, genetics or human adaptation expertise is an advantage.   
  • Compelled by the company’s mission of great science, a strong ethical stance, and benefit sharing.

Perks

  • Opportunity to be part of an early-stage startup entering a rapid growth phase.
  • Competitive, industry leading salary, and comprehensive benefits including medical, dental, vision, short and long term disability and life insurance.
  • 401(k) plan that includes an automatic 3% employer contribution.
  • Centrally located in Seattle’s Eastlake neighborhood in a new Alexandria building with modern facilities, including a gym.

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