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People-driven therapeutics

Statistical Geneticist

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Variant Bio was recently founded in New York City with a simple idea: to use the enormous power of global human genetic diversity to discover a new generation of therapeutics. Our team is rapidly expanding, and we’re looking for a statistical geneticist with diverse expertise, who isn't afraid to take on new challenges, and is as passionate about improving human health as we are. We’re seeking someone with expertise using modern statistical genetics approaches, including genome wide association studies, to identify trait-associated genetic variants in large cohorts with sequencing derived genotype data.

Please email your CV and a cover letter highlighting your relevant experience and skills to hiring@variantbio.com with subject line “RE: Statistical Geneticist”.

The position responsibilities include:
- Working closely with project managers, population geneticists, anthropologists and bioinformaticians to
design appropriately controlled genomic studies.
- Carrying out genetic association tests that leverage large cohorts of paired genotype-phenotype data to
identify trait-associated variants.
- Management and organization of data associated with large genetic studies.
- Interpreting and effectively communicating results as well as staying up to date on the latest scientific literature, including emerging statistical genetics methods.

The skills and qualifications required for the position are:
- Ph.D. in statistical genetics, genetic epidemiology, biostatistics, or a related field with a relevant dissertation.
- Very strong hands-on statistical genetics experience, including with genome wide association studies, phenome wide association studies, rare variant tests, etc.
- Strong computational proficiency, including fluency in Python with applications for big data, R for statistical analysis, and full comfort with bash and distributed computing systems.
- Knowledge of statistical genetics software, e.g. PLINK, EIGENSOFT, HAIL, etc.
- Experience working with large scale genotype-phenotype datasets, e.g. UK Biobank, 23andMe, etc.

We’d prefer applicants with the following:
- At least 2 years of industry or post-doctoral experience.
- Experience using Hail for storage, annotation, and analysis of genotype data.
- Proficiency using Jupyter Notebook for documenting and running analyses.
- Some experience using cloud computing platforms like Amazon Web Services to carry out analyses.

Perks
- Competitive salary with stock options.
- The chance to be an early key employee at a rapidly growing, well-funded start-up
- Generous and comprehensive health, vision, dental, and 401K benefits.
- Great work environment, based in a beautiful office at New Lab in the Brooklyn Navy Yard.