Senior Scientist, Statistical Genetics

Alnylam Pharmaceuticals; Cambridge (MA); On-site; USD 140,000 - 210,000; Full time

Job summary

Alnylam Pharmaceuticals seeks a Senior Statistical Geneticist to join the Human Genetics team in Cambridge, MA, focusing on large-scale human genetic data analysis to identify RNAi therapeutic targets.

You will conduct biobank-scale association studies, lead meta-analyses across biobanks, and apply post-GWAS methods while driving methodological innovation and data management best practices.

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.

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.

Skills

GWAS

RVAS

Multi-ancestry analyses

Fine-mapping

Colocalization

Mendelian randomization

Python

R

Linux

Cloud genomics

Education

PhD in Statistical Genetics or related field

Tools

REGENIE

PLINK

Cloud platforms

Job description

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.