Associate Manager, Statistical Genetics

About the role

We are looking for a statistical geneticist to build tools, workflows, and applications to analyze and interpret the genetics of nearly 3 million individuals linked with rich phenotype data from around the world. You will build and maintain a suite of tools to manage, execute, and assess genome-wide analyses leading to new discoveries and insights into disease mechanisms.

Responsibilities

• Perform genome-scale analyses with genotype, imputed, and sequence data from millions of individuals across hundreds of relevant phenotypes and biomarkers.
• Work across teams to build, maintain, and improve analytical workflows that implement analytical best practices.
• Build and manage systems to execute genomic analysis on a large scale and at high throughput, including tools for analysis tracking and post-analysis quality control.
• Employ your expertise in genetic analysis to identify and troubleshoot analyses at scale.
• Test and integrate computational tools for deployment across our collection of diverse quantitative, health outcomes, and molecular data types.
• Critically review and provide input on analysis plans, results, and summaries to ensure accuracy and reliability.
• Identify problems and propose solutions or analytical refinements.

Requirements

• Experience in the analysis of large genetic association studies and meta-analysis, including through the analysis of UK Biobank or other biobank-scale data.
• Familiarity manipulating sequence data (e.g., VCF files), strategies for genotype imputation, and for quality control of genetic association inputs and outputs.
• Demonstrated coding ability in either Python, C/C++, or R.
• Outstanding communication skills to summarize and present new concepts, methods, and results from human genetic studies to a variety of audiences.
• Experience working in cardiovascular, metabolic, and/or musculoskeletal diseases is preferred.

Qualifications

• PhD in Human Genetics, Biostatistics, or a related field.
• Post-graduate experience is preferred, but relevant industry experience is also considered.
• Experience and competence with approaches currently employed in the group, including genome- and exome-wide association analysis, rare variant analysis, Mendelian randomization, LD Score regression, polygenic risk score modelling, meta-analysis, and the use of functional data to prioritize variants and genes of interest.
• Expertise with cloud computing environments, advanced tools for genomic analyses (PLINK, REGENIE, etc.), and statistical analysis and computation (R, Python, C/C++).

Skills

• Strong programming skills in Python, C/C++, or R.
• Experience with bioinformatics tools and databases.
• Knowledge of statistical genetics and genomics.
• Ability to work in a collaborative, interdisciplinary environment.

Benefits

• Competitive and comprehensive total rewards package including annual bonuses, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits, and paid time off.

Pay

$109,900.00 - $179,300.00 annually

Schedule

Full-time