Next generation genetic testing and analysis.

We are looking for a statistical geneticist to develop and test the underlying genetic score algorithms that underpin our web application.

Qualifications:

• Ph.D. or Masters degree in a genetics-focused discipline
• Experience in genetics data analysis 
• Experience in next-generation sequencing analysis 
• Familiarity with variant databases, ClinVar, HGMD, Ensembl, gnomAD, 1kgenomes, etc. 
• Familiarity with fastq to vcf-file analysis and processing, nf-core / sarek (preferred)
• Experience with GWAS and PRS modeling (preferred)
• Some programming knowledge, e.g. Python and R (preferred)

Responsibilities:

• Combine common variant and rare variant genetic analysis approaches into algorithmic pipelines.
• Collect and integrate public data for testing genetic risk scoring models.
• Design accurate questions and tests to ensure the continuous improvement of our product.
• Work closely with the communications department to ensure accurate dissemination of genetic findings to our customers.
• Proactively collaborate with project teams to identify key needs and questions that can be addressed using genomics, sequencing, or bioinformatics.

Benefits:

• Generous PTO
• Competitive salary and equity
• Comprehensive healthcare, dental, and vision plans
• 401k employee plan
• Technology stipends and office perks
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