Scientist, Proteomics

Alnylam Pharmaceuticals • Cambridge, MA

6d • Onsite

About The Position

Alnylam’s Translational Research Team is seeking a highly motivated Proteomics Scientist to join its LC/MS-based ‘omics group. The group advances RNAi therapeutics through preclinical target validation, biomarker discovery, and the development of novel delivery solutions. The successful candidate will bring a strong theoretical foundation in mass spectrometry and develop state-of-the-art spatial, single-cell, and subcellular proteomics workflows spanning sample preparation, data analysis, and interpretation. Strong collaboration and communication skills are important for success in a fast-paced, matrixed environment.

This position is onsite and will be primarily located in Cambridge, Massachusetts.

Requirements

• PhD in Bioengineering, Chemical Engineering, or a related quantitative field.
• 0–3 years of experience in a biopharma setting.
• Expertise in LC/MS instrumentation and proteomics method development.
• Strong computational background and proficiency in Python, Matlab, or R.
• Excellent written and oral communication skills.
• Self-motivated and able to thrive in a fast-paced team environment.
• Strong ability to work both independently and as part of a team.
• Intellectual curiosity, a passion for science, critical thinking skills, and willingness to ask questions.

Nice To Haves

• Experience with Thermo Orbitrap instrumentation.
• Experience with cloud computing and/or high-performance computing environments.
• Familiarity with high-throughput sample preparation automation.

Responsibilities

• Drive sample preparation and LC/MS method development for novel experimental workflows, including single-cell, spatial, and subcellular proteomics, using state-of-the-art instrumentation.
• Develop novel data analysis and interpretation workflows optimized for next-generation proteomics technologies.
• Collaborate with an interdisciplinary team to identify and characterize novel receptors for targeted delivery into new cell types and tissues.
• Leverage AI tools to inform novel receptor prediction based on protein sequence and structure.
• Maintain timely documentation and transparently communicate results with key stakeholders throughout the organization.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree