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Proteomic Jobs (NOW HIRING)

Noblesoft Technologies

Sr. Pharma Business Analyst

Rahway, NJ · On-site

$93K - $121K/yr

Business Analysis, Data Analytics, Pharma R&D domain experience specially focused in Omics Data products (Genomics, Metagenomics, Proteomics and Metabolomics) Must Have Experience: * Functional ...

Stowers Institute

Scientist

Kansas City, MO · On-site

This individual will play a central role in supporting and advancing native and top-down proteomics workflows, providing experimental and analytical expertise to investigators across diverse ...

Merck & Co.

In this role, they will develop and deploy computational approaches to integrate biofluid proteomics data with other omics data from patient cohorts and preclinical models to identify biomarkers for ...

Dana-Farber Cancer Institute

Scientist I

Boston, MA

The Targeted Protein Degradation (TPD) Proteomics Core within the Fischer Lab at Dana-Farber Cancer Institute serves as a resource for the Cancer Biology Department, aiding investigators in answering ...

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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 Jun 11, 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 jobs can I do with biotechnology?

With a background in biotechnology, you can pursue roles such as research scientist, laboratory technician, quality control analyst, or bioprocess engineer. These jobs often require knowledge of laboratory techniques, data analysis, and familiarity with biotech tools and regulations.

What are 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 biology jobs pay over $100k?

Proteomic scientists and senior researchers in biotechnology or pharmaceutical companies often earn over $100,000 annually, especially with advanced degrees and specialized skills in mass spectrometry, bioinformatics, or data analysis. Leadership roles such as principal investigators or department heads in research institutions also typically exceed this salary threshold.

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 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 kind of jobs are there in biochemistry?

Proteomic professionals in biochemistry can work as research scientists, laboratory technicians, or bioinformatics specialists, focusing on protein analysis, mass spectrometry, and data interpretation. These roles often require knowledge of laboratory techniques, data analysis software, and a strong understanding of molecular biology. Employment can be found in academic, pharmaceutical, biotech, and healthcare settings.

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.
More about Proteomic jobs
What cities are hiring for Proteomic jobs? Cities with the most Proteomic job openings:
What states have the most Proteomic jobs? States with the most job openings for Proteomic jobs include:
What job categories do people searching Proteomic jobs look for? The top searched job categories for Proteomic jobs are:
Proteomic jobs near you
Infographic showing various Proteomic job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.
Sr. Pharma Business Analyst

Sr. Pharma Business Analyst

Noblesoft Technologies

Rahway, NJ • On-site

$93K - $121K/yr

Contractor

Posted 2 days ago

Job description

Job Title: Sr. Pharma Business Analyst 
Location: Rahway NJ or West Point PA
Skills: Business Analysis, Data Analytics, Pharma R&D domain experience specially focused in Omics Data products (Genomics, Metagenomics, Proteomics and Metabolomics)
 
Must Have Experience:
  1. Functional Business Analyst coming from a Pharma / R&D / GxP environment (Who has worked in Laboratory practice or Manufacturing practice
  2. Business Analyst who has experience with Workflows, Data Mining, gathering requirements, Building Functional requirements, Writing Lifecycle Docs SDLC,
  3. Experience with Omics modalities (scRNA-seq, bulk RNA-seq, proteomics) and FAIR, Omics Data products (Genomics, Metagenomics, Proteomics and Metabolomics) would be a plus nice to have.

Mandatory Skills: Business Analysis, Data Analytics, Pharma R&D domain experience specially focused in Omics Data products (Genomics, Metagenomics, Proteomics and
  • Experience in requirements management, business analysis, and product analytics within a technical or scientific environment.
  • Familiarity with Omics modalities (scRNA-seq, bulk RNA-seq, proteomics) and FAIR data principles.
  • Strong analytical and problem-solving skills; ability to interpret technical data and translate into actionable insights.
  • Proficiency with Agile methodologies, backlog tools, and data analysis platforms (SQL, BI dashboards).
  • Help define and monitor KPIs for Omics data products (e.g., data availability, accessibility, cost efficiency).
  • Recommend optimizations for automation, scalability, and workflow efficiency.
  • Experience with cloud platforms (AWS, Azure) and data processing pipelines.
  • Exposure to AI/ML applications in Omics data analysis.
  • Knowledge of metadata standards, data governance, and compliance in life sciences