Lead project teams of world-class data scientists developing and applying robust, generalizable solutions to core scientific problems.
Work with a diverse set of stakeholders to develop project plans that support program needs, develop alignment between functional teams and stakeholders, and prioritize.
Work with an array of data types alongside genetic sequencing data, including electronic medical records, multi-omics data, and other data modalities using R or Python in cloud environments.
Be comfortable with scientific uncertainty and embrace curiosity and creative solutions.
Collaborate with drug discovery and clinical development teams to help ensure the relevance and impact of the insights generated by you and your teammates.
Be a dynamic and active team member, championing and adopting shared coding standards, participating in code review, and providing regular updates of your work and input into the work of your colleagues

Requirements

BS + 8-10, MS + 5-8 or PhD + 3-5 years of experience in statistical genetics, computational sciences (eg, computational biology, molecular biology), or a related field
Experience leading matrixed teams, exercising creative problem-solving skills, and demonstrated project management skills
Experience in performing and working with results of genetically anchored studies
Demonstrated experience conducting genome-wide association studies (GWAS) and follow up analyses including computing and using (omic)QTL for Mendelian randomization and colocalization
Demonstrated experience with the computation and application analyses of rare genetic variation (LoF analysis, burden testing, identity-by-descent detection, functional variant annotation)
Experience working with UKBiobank data or similar datasets, integrating genomics, multi-omics, and clinical information
Experience with statistical genetics, exploratory data analysis, and data visualization with a demonstrated business or scientific impact
Experience researching cardiometabolic disease
Proficient in Python or R programming and at least basic knowledge of the other
Familiarity with working in a command line interface
Familiarity with writing / developing code using version control (e.g., git) and collaborative code writing practices such as code review
Experience developing analysis pipelines and/or software packages

Benefits

healthcare coverage
annual incentive program
retirement benefits and a broad range of other benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statistical geneticscomputational biologygenome-wide association studies (GWAS)Mendelian randomizationLoF analysisburden testingidentity-by-descent detectionfunctional variant annotationdata visualizationanalysis pipelines

Soft Skills

creative problem-solvingproject managementcollaborationteam leadershipadaptabilitycommunicationcuriositydynamic teamworkstakeholder alignmentcode review participation

Certifications

BSMSPhD