Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Senior Associate Scientist - Proteogenomics & Immunopeptidomics role.

Rezi rewrites your resume against Regeneron Pharmaceuticals's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Senior Associate Scientist - Proteogenomics & Immunopeptidomics posting at Regeneron Pharmaceuticals — free, in seconds.

About the Role

Join a translational proteomics group that discovers and validates novel cell-surface and HLA-presented antigens for therapeutic antibody, bispecific and cell-therapy programs. This role involves working at the interface of proteogenomics and immunopeptidomics, generating high-sensitivity LC-MS/MS data and turning peptide-level evidence into validated target candidates. While expertise in immunopeptidomics or proteogenomics is not required, a solid foundation in laboratory science, bench care, and a strong desire to learn mass spectrometry are essential. Training is provided by experienced scientists.

Responsibilities

Perform bottom-up proteomics sample preparation including cell and tissue lysis, enzymatic digestion, peptide cleanup, enrichment, and fractionation.
Carry out immunoprecipitation and affinity-enrichment workflows, progressing from guidance to independent execution.
Maintain precise sample tracking, run records, reagent logs, and quality-control practices.
Support general laboratory operations, including reagent preparation, inventory, instrument housekeeping, and safety compliance.
Acquire LC-MS/MS data on high-resolution instrumentation with increasing independence.
Learn and perform routine instrument maintenance, calibration, performance checks, and first-line troubleshooting.
Contribute to method optimization, particularly for low-abundance analytes.
Process MS data through established database search workflows and apply appropriate false-discovery control.
Review, filter, and summarize results, assessing the validity of identifications.
Assist in searching MS data against custom protein sequence databases derived from RNA-seq, ribosome profiling, and long-read transcriptome data.
Undertake scripted analysis in Python or R as interest and experience develop.
Present data clearly at group meetings and contribute to project-team discussions.
Collaborate effectively with colleagues across proteomics, computational biology, genomics, and bioinformatics.
Maintain clear written records and contribute to internal reports, with opportunities for manuscripts and external presentations.
Proactively identify and communicate issues or problems.

Requirements

MS in analytical chemistry, biochemistry, molecular biology, biology, bioinformatics, or a related discipline with approximately 2–4 years of relevant laboratory experience, OR a BS in a relevant discipline with approximately 4–6 years of laboratory experience.
Relevant graduate research, co-op, or internship experience counts toward experience ranges.
Solid, demonstrable wet-lab technique, including accurate pipetting, solution preparation, aseptic practice, and meticulous protocol adherence and recording.
Coursework or practical experience in protein biochemistry, analytical chemistry, or molecular biology.
Comfort working with large data files and spreadsheets, and maintaining organized, well-documented records.
Attention to detail and a track record of careful, reproducible work.
Ability to explain work performed and observations made.
Capacity to work productively in a collaborative group.
Hands-on LC-MS or mass spectrometry experience is preferred.
Experience with protein biochemistry techniques such as immunoprecipitation, affinity purification, Western blot, cell culture, or tissue handling is preferred.
Experience with bottom-up proteomics sample preparation, including digestion and peptide cleanup, is preferred.
Exposure to proteomics data analysis software (e.g., PEAKS, FragPipe, Proteome Discoverer, Spectronaut) is preferred.
Any immunology background, particularly HLA/MHC antigen presentation, is preferred.
Scripting experience in Python or R is preferred.
Curiosity about machine learning applied to scientific data or reproducible analysis pipelines is preferred.
Prior experience in a biotech, pharmaceutical, CRO, academic core-facility, or university research laboratory setting is preferred.

Skills

Mass Spectrometry
Proteomics
LC-MS/MS
Proteogenomics
Immunopeptidomics
Sample Preparation
Data Analysis
Laboratory Science
Wet-lab Technique
Pipetting
Solution Preparation
Aseptic Technique
Protocol Adherence
Record Keeping
Data Literacy
Spreadsheet Software
Communication
Teamwork
Problem Solving
Python (preferred)
R (preferred)
Machine Learning (preferred)
Reproducible Analysis Pipelines (preferred)

Location

On-site

Work Type

Full-time
On-site

Experience Level

Senior Associate Scientist
2-4 years relevant laboratory experience (MS degree)
4-6 years relevant laboratory experience (BS degree)

Education Level

Master's degree
Bachelor's degree

Salary/Compensations

$81,900.00 - $133,700.00

Benefits

Annual bonuses or other incentive plans
Equity awards
Pension or retirement benefits
401(k) company match
Health and wellness programs
Fitness centers
Insurance benefits (medical, dental, vision, life, disability)
Paid time off
Family support benefits

About the Company

Regeneron is committed to building a workplace with an inclusive culture.
Regeneron believes in doing their best work when together, with many roles requiring on-site presence.

Equal Opportunity

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law.
Where required, reasonable accommodation will be provided to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.