Senior Scientist, Statistical Genetics

Overview The Alnylam Human Genetics (AHG) team is seeking an exceptional statistical geneticist to join our Analytical Genetics group. The successful candidate will apply cutting‑edge methods to analyse genetic data from millions of individuals, driving discoveries that directly inform our RNAi therapeutics pipeline. In this role, you will champion methodological innovation and build scalable approaches that unlock insights from some of the world’s richest genomic resources, including UK Biobank, All of Us, Our Future Health, FinnGen, Precision Health Research Singapore, the Alliance for Genomic Discovery and Helix. This is a unique opportunity to translate large‑scale human genetics into therapeutic targets and ultimately deliver transformative medicines to patients. This position is onsite and will be primarily located in Cambridge, MA. Key Responsibilities Perform common and rare variant association studies, including large‑scale “all‑by‑all” analyses, using biobank‑scale data (e.g., UK Biobank, All of Us, Our Future Health, Alliance for Genomic Discovery, Helix) to identify and prioritise novel targets for RNAi therapeutics. Lead cross‑biobank meta‑analyses, integrating internal and publicly available summary statistics to maximise power, replication, and trans‑ancestry discovery. Implement post‑GWAS methods to nominate causal genes and therapeutic hypotheses, including fine‑mapping, colocalisation, Mendelian randomisation and functional annotation integration. Drive methodological innovation by identifying, evaluating, and deploying emerging approaches (e.g., multi‑omics integration, polygenic modelling, rare variant aggregation, AI/ML‑enabled prioritisation). Help to establish best practices for data organisation, knowledge management, and results dissemination. Enhance external visibility through high‑impact publications, conference presentations, and strategic collaborations. Qualifications PhD in Statistical Genetics or a related field with 3+ years of relevant postdoctoral or industry experience. Title is commensurate with experience. Deep expertise in statistical genetics, including GWAS and RVAS methods (e.g., single‑variant testing, burden tests, SKAT), and extensive experience with relevant software (e.g., REGENIE, PLINK). Extensive experience processing and analysing individual‑level, biobank‑scale genetic and phenotypic data, with a track record of making novel discoveries. Proven experience conducting multi‑biobank analyses and meta‑analyses (e.g., using METAL, RAREMETAL, REMETA), including methods to account for sample overlap. Demonstrated expertise in variant‑to‑gene post‑GWAS approaches (e.g., statistical fine‑mapping, colocalisation, Mendelian randomisation). Experience applying scalable statistical genetics tools to multivariate phenotype analysis, time‑to‑event and longitudinal analyses, and genetically diverse datasets to improve signal detection and resolution. Hands‑on experience processing and performing quality control (QC) on biobank‑scale individual‑level genetic data (WGS, WES, imputed data). Expertise in phenotype generation and cross‑biobank phenotype curation and harmonisation. Proficiency with Linux environments and advanced hands‑on experience in Python and R. Practical experience implementing genomics workflows on cloud‑based platforms (e.g., DNAnexus, All of Us Researcher Workbench, Terra). Excellent communication skills, ability to work collaboratively and cross‑functionally, and a strong publication record in high‑impact scientific journals. U.S. Pay Range $126,400.00 – $189,600.00 The pay range reflects the full‑time base salary range we expect to pay for this role at the time of posting. Base pay will be determined based on a number of factors including, but not limited to, relevant experience, skills, and education. This role is eligible for an annual short‑term incentive award (e.g., bonus or sales incentive) and an annual long‑term incentive award (e.g., equity). Alnylam’s robust Total Rewards package is designed to support your overall health and well‑being. We offer comprehensive benefits including medical, dental, and vision coverage, life and disability insurance, a lifestyle reimbursement program, flexible spending and health savings accounts and a 401(k) with a generous company match. Eligible employees enjoy paid time off, wellness days, holidays, and two company‑wide recharge breaks. We also offer generous family resources and leave. Our commitment to your well‑being reflects our belief that caring for our people fuels the impact we create together. At Alnylam, we commit to an inclusive recruitment process and equal employment opportunity. Qualified applicants will receive consideration for employment without regard to their sex, gender or gender identity, sexual orientation, race, color, ethnicity, national origin, ancestry, citizenship, religion, creed, physical or mental disability, pregnancy status or related conditions, genetic information, veteran or military status, marital or familial status, political affiliation, age, or any other factor protected by federal, state, or local law. Alnylam is an E‑Verify Employer. #J-18808-Ljbffr Alnylam Pharmaceuticals