Senior Scientist, Genomic Biomarkers & Companion Diagnostics

539

Cambridge, MA, US
Base: $131,400.00 - $206,800.00; bonus/equity: ann...
**
Statistical genetics expertise
Gwas and population genetics analysis
Polygenic risk score development
** The company is seeking a Senior Scientist in Genomic Biomarkers & Companion Diagnostics to join their Computational Precision Immunology team in Cambridge, MA. The ideal candidate will have extensive experience in statistical genetics and a strong background in developing genetic biomarkers for immunological diseases. The role offers a hybrid work environment and a competitive salary with a comprehensive benefits package. **

Job Summary

  • The role focuses on identifying and validating predictive genetic variants and pharmacogenomic signatures for companion diagnostics in immunological diseases.
  • Candidates must possess a Ph.D. in Statistical Genetics or related fields with over five years of hands-on experience in genomic data analysis.
  • The position offers a competitive salary range of $131,400 to $206,800 along with comprehensive benefits including medical, dental, vision, and 401(k) matching.

Matching Summary

Match Score: 75

** The company is seeking a Senior Scientist in Genomic Biomarkers & Companion Diagnostics to join their Computational Precision Immunology team in Cambridge, MA. The ideal candidate will have extensive experience in statistical genetics and a strong background in developing genetic biomarkers for immunological diseases. The role offers a hybrid work environment and a competitive salary with a comprehensive benefits package. **

Salary

Base: $131,400.00 - $206,800.00; Bonus/Equity: Annual bonus and long-term incentive eligible; Benefits: Medical, dental, vision, 401(k), paid holidays, vacation

Skills & Requirements

Must-have

  • Statistical genetics expertise
  • GWAS and population genetics analysis
  • Polygenic risk score development
  • Pharmacogenomics investigations
  • WGS, WES, and SNP array processing
  • R, Python, and Bash proficiency
  • High-performance computing experience

Nice-to-have

  • Immunology and autoimmune disease knowledge
  • Multi-omics data integration skills
  • Real-world data experience
  • FDA CDx regulatory framework awareness
  • Ancestry-diverse cohort analysis
  • Fine-mapping tool familiarity

Key Requirements

  • Ph.D. in Statistical Genetics or related field
  • 5+ years of hands-on statistical genetics experience
  • Deep expertise in GWAS, PRS, and rare variant analysis
  • Proficiency in R, Python, and Bash scripting
  • Experience with HPC systems and cloud platforms
  • VISA Sponsorship available

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter