Senior Data Scientist, Statistical Genetics

Key Responsibilities:

• Apply and advance statistical and computational methods for interpreting biobank-scale and large cohort datasets, encompassing high-dimensional phenotypes and longitudinal health data.
  

• Design and lead investigations to understand the genetic architecture of age-related diseases and trait trajectories across populations.
  

• Merge multiple biological datasets (e.g., clinical, genetic, multi-omics) to build new hypotheses for novel treatments targeting aging-associated conditions.
  

• Develop reusable software tools and workflows streamlining analysis and data processing in diverse cohort research projects.
  

• Communicate results and collaborate closely with interdisciplinary teams spanning multiple scientific domains—internally and with external research partners.
  

Requirements

• Ph.D. or equivalent advanced training in genetics, statistical genetics, computational biology, bioinformatics, or a related discipline.
  

• Demonstrated expertise in creating and deploying computational or statistical methodologies for large, complex biological/phenotypic datasets.
  

• Proficiency with modern genetic analysis tools—including GWAS, burden tests, fine-mapping, LD score regression, QTL mapping (eQTL/pQTL), colocalization, polygenic risk scoring, Mendelian randomization—and specific techniques for studies involving diverse ancestry groups.
  

• Hands-on experience analyzing large-scale clinical and molecular data, such as genomics, imaging, multi-omics, and longitudinal datasets.
  

• Knowledge of or experience with substantial human cohort research (e.g., UK Biobank, FinnGen, All of Us, or similar repositories).
  

• Advanced coding skills in Python and/or R, with a portfolio of developed tools, libraries, or pipelines accessible to other scientists.
  

• Excellent communication and teamwork abilities, with a strong history of collaborating across varied scientific specialties.
  

• Onsite work required a minimum of 4 days per week.