Metabolomics Scientist - LC-MS/MS for Biomarker Discovery

Alnylam Pharmaceuticals; Cambridge (MA); On-site; USD 110,400 - 165,600; Full time

Job summary

Alnylam Pharmaceuticals in Cambridge, MA is seeking a Metabolomics Scientist to join the Translational Research group. The role emphasizes LC-MS/MS based omics, biomarker discovery, and pharmacodynamic studies for RNAi therapeutics.

The successful candidate will design methods for endogenous metabolites and collaborate with preclinical and clinical teams. The candidate should have a PhD or equivalent with post‑doc experience, strong LC‑MS/MS expertise, and programming skills in Python or R.

Qualifications

• Experience with LC‑MS/MS methods for endogenous metabolites and lipids.
• Experience preparing samples from biofluids, tissues, or cultured cells.
• Strong publications and cross-disciplinary collaboration.

Responsibilities

• Design, validate, and apply LC‑MS/MS methods for endogenous metabolite and lipid quantification.
• Perform end‑to‑end metabolite/lipid sample preparation for biofluids, tissues, and cultured cells.
• Operate, maintain, and troubleshoot LC‑MS systems as needed.
• Develop and apply bioinformatics tools for large‑scale data processing and statistical analysis.
• Identify and onboard novel technologies for biomarker measurement.
• Maintain QC records, analyze data, and document protocols/results.
• Collaborate with cross‑disciplinary and external teams to support drug discovery activities.
• Contribute to study design and biomarker strategies for programs.
• Serve as subject matter expert for translational biology questions.
• Present results and author findings in reports/manuscripts.

Skills

LC-MS/MS operation

Bioinformatics tools

Programming: Python or R

Endogenous metabolite quantification

Data analysis

Independent and teamwork

Education

PhD in analytical chemistry or related field

MS with 8+ years pharma/biotech experience

Tools

Sciex QTRAP

Thermo Orbitrap

Job description

Alnylam Pharmaceuticals in Cambridge, MA is seeking a Metabolomics Scientist to join the Translational Research group. The role emphasizes LC-MS/MS based omics, biomarker discovery, and pharmacodynamic studies for RNAi therapeutics.

The successful candidate will design methods for endogenous metabolites and collaborate with preclinical and clinical teams. The candidate should have a PhD or equivalent with post‑doc experience, strong LC‑MS/MS expertise, and programming skills in Python or R.