Senior Scientist, Statistical Genetics

Role

Senior Statistical Geneticist within Alnylam's Human Genetics team, focusing on large-scale human genetic data analysis to identify RNAi therapeutic targets.

Responsibilities

• Conduct biobank-scale association studies (common and rare variants).
• Lead meta-analyses across multiple biobanks.
• Apply post-GWAS methods (fine-mapping, colocalization, Mendelian randomization).
• Drive methodological innovation (multi-omics, AI/ML integration).
• Establish best practices for data management.
• Promote external scientific visibility.
• Collaborate cross-functionally.

Qualifications

• PhD in Statistical Genetics or related field with 3+ years postdoctoral or industry experience.
• Expertise in GWAS, RVAS, and software tools (REGENIE, PLINK).
• Proven success with biobank and multivariate analyses.
• Experience with multi-ancestry datasets, fine-mapping, and cloud genomics workflows.
• Proficient in Linux, Python, R.
• Strong publication record.

High-Value Skills

• Human genetics.
• Biobank-scale data.
• GWAS/RVAS.
• Multi-ancestry analyses.
• Post-GWAS methods.
• Cloud platforms.

Work Setup

Onsite in Cambridge, MA.