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Proteomic Jobs (NOW HIRING)

LatchBio

AI Biologist - Proteomics

San Francisco, CA · On-site +1

$120K - $180K/yr

Proteomic data QC → analysis * NGS-Based Proteomics * Liquid Chromatograph / Mass Spectrometry * Protein Sequencing * Single-molecule proteomics * Affinity-targeted assays * X-Ray Crystallography

LatchBio

AI Biologist - Proteomics

San Francisco, CA · On-site

$120 - $180/hr

Proteomic data QC → analysis * NGS-Based Proteomics * Liquid Chromatograph / Mass Spectrometry * Protein Sequencing * Single-molecule proteomics * Affinity-targeted assays * X-Ray Crystallography

Ishe

Business Development Manager Proteomics

Beverly, MA · On-site

$160 - $175/hr

Business Development Manager - Proteomics US (Remote) Excellent opportunity to join a market-leading life sciences company at the forefront of proteomics. This is a strategic business development ...

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Proteomic information

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$50.5K

$130.1K

$174K

How much do proteomic jobs pay per year?

As of Sep 5, 2026, the average yearly pay for proteomic in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is proteomics and what does a proteomic scientist do?

Proteomics is the large-scale study of proteins, which are vital parts of living organisms, carrying out essential functions in cells. A proteomic scientist analyzes the structure, function, and interactions of proteins within a biological system, often using advanced techniques like mass spectrometry. Their work helps to understand diseases, develop new drugs, and uncover how proteins interact in health and disease. Proteomic scientists often collaborate with biologists, chemists, and clinicians to translate protein data into meaningful biological insights.

What are the key skills and qualifications needed to thrive as a proteomics scientist, and why are they important?

To thrive as a Proteomics Scientist, you need a strong background in biochemistry or molecular biology, experience with protein analysis techniques, and often a relevant advanced degree (e.g., PhD or MSc). Proficiency with mass spectrometry platforms, liquid chromatography systems, and bioinformatics tools is typically essential, along with familiarity with data analysis software like MaxQuant or Proteome Discoverer. Excellent problem-solving abilities, attention to detail, and effective communication skills are important soft skills in this field. These competencies are crucial for ensuring accurate data interpretation, successful collaboration, and innovation in complex protein research projects.

What are some typical challenges faced by professionals working in proteomics, and how can they be addressed?

Proteomics professionals often encounter challenges such as handling complex data analysis, ensuring sample quality, and keeping up with rapidly evolving technologies. Managing large datasets from mass spectrometry requires strong analytical skills and familiarity with bioinformatics tools. Collaborating closely with interdisciplinary teams, such as bioinformaticians and biologists, is essential to interpret results accurately. Continuous learning and attending specialized workshops can help professionals stay updated and overcome these challenges effectively.

What is the difference between Proteomic vs Bioinformatics Specialist?

AspectProteomicBioinformatics Specialist
Required CredentialsBiochemistry, Molecular Biology, Proteomics certificationsBioinformatics, Computer Science, Data Analysis certifications
Work EnvironmentLaboratories, research institutions, biotech companiesResearch labs, IT departments, biotech firms
Employer & Industry UsageBiotech, pharmaceuticals, academic researchGenomics, data analysis, software development

Proteomic professionals focus on analyzing proteins, their structures, and functions using laboratory techniques. Bioinformatics Specialists work with biological data, including protein sequences, using computational tools. While both roles collaborate in biological research, Proteomic roles are lab-based, whereas Bioinformatics Specialists are more data-driven. Understanding these differences helps in choosing the right career path or job focus within the biotech industry.

What is a proteomic specialist?

A proteomic specialist is a scientist who studies the structure, function, and interactions of proteins within biological systems, often using techniques like mass spectrometry and chromatography. They work in research laboratories, pharmaceutical companies, or academic settings, analyzing complex protein data to understand diseases or develop new therapies.
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Proteomic jobs near you
Infographic showing various Proteomic job openings in the United States as of August 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

AI Biologist - Proteomics

LatchBio

San Francisco, CA • On-site, Remote

$120K - $180K/yr

Full-time

Re-posted 11 days ago

Job description

Bioinformatics Engineer - Proteomics
As molecular data generation and frontier model intelligence grows, new approaches to data analysis are needed across the biotech industry. Latch is building intelligent, high-performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs to handle data from instrument-to-insights.
We're seeking a Bioinformatics Engineer to join our Proteomics team working at the frontier of what artificial intelligence can achieve in biology.
About the Role
You will contribute to our technical approach to teaching agents how to understand and handle complex proteomic data, working across end-to-end data analysis workflows from instrument outputs to real scientific decisions.
You will work as part of a team of software engineers and biologists building datasets to teach these agents to reason better across:
  • Proteomic data QC → analysis
  • NGS-Based Proteomics
  • Liquid Chromatograph / Mass Spectrometry
  • Protein Sequencing
  • Single-molecule proteomics
  • Affinity-targeted assays
  • X-Ray Crystallography
  • Spatial proteomics
  • Clinical interpretation of proteomics data

Requirements
  • 3+ years hands-on experience with proteomics or proteomics data
  • Proficiency in Python and/or R

Culture @ Latch
How we work. Genuinely flexible schedules - we just ask that you communicate when you're coming in later than usual. We care most about hard work and output. We're respectfully opinionated, it will always be us against problems, not each other. Optimize for each other's time and bring solutions, not just problems. You'll join a bench suited to your expertise, but we value cross-domain learning and interoperability across teams.
The office & perks. Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, company outings most months, and team offsites. Plus a vibrant community: cycling, soccer, figure skating, boxing, run clubs, reading clubs, martial arts, music, game nights.
Compensation & Logistics
  • 1099 (or W8-BEN) contract, 40 hrs/week, no end date
  • Fully performance-based pay: $120K-$180K, uncapped upside. 2x quota = 2x pay.
  • 2-4 week paid ramp-full OTE from day one
  • Remote (globally), hybrid, or onsite in SF (onsite preferred)
  • Work authorization: OPT visa holders only (not STEM Extension)
  • Onsite perks: 2x free meals/day, waterfront office (China Basin), monthly parking (based on availability)
  • Candidates with all of the above qualifications + proven management skills will be eligible for more senior positions

Interview Process
Timeline: We move fast: 8-12 days from submission to offer.
  1. Intro Screen - Technical Recruiter
  2. Take-Home Project - HackerRank
  3. Technical Interview - Member of Technical Staff
  4. Culture Interview - C-Suite (If applicable)
  5. Offer
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About LatchBio

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2021

Social media

Twitter

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