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Full Time Proteomics Jobs (NOW HIRING)

Saint Louis University

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

Multi-omics and Longitudinal Modeling in Alzheimer's Disease Appointment: Full-time, 1-year term ... Perform computational analysis of large-scale omics datasets, including proteomics, transcriptomics ...

University of Utah

PS Lab Technician

Campus, IL

$12.02 - $21.29/hr

Yes Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP ... and proteomics when applicable. This role is ideal for someone who is organized, proactive ...

University of Utah

PS Lab Technician

Salt Lake City, UT · On-site

$12.02 - $21.29/hr

Yes Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP ... and proteomics when applicable. This role is ideal for someone who is organized, proactive ...

Saint Louis University

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

Full-time, 1-year term (renewable pending funding and performance) Position Overview We are seeking ... Perform computational analysis of large-scale omics datasets, including proteomics, transcriptomics ...

University of Utah

PS Lab Technician

Campus, IL

$12.02 - $21.29/hr

Yes Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP ... and proteomics when applicable. This role is ideal for someone who is organized, proactive ...

Vivodyne

Senior Bioinformatician

San Francisco, CA · On-site

... and proteomics. We're looking for a Bioinformatician who can develop new analytical methods and ... This is a full-time, onsite role in San Francisco. Responsibilities Develop and Own Analytical ...

Correlia Biosystems Inc

Laboratory Technician

Berkeley, CA · On-site

$23.25 - $31/hr

The hire will receive extensive training and gain hands-on experience with manufacturing proteomic ... This is a full time position but part time options (minimum ~20 hr/week availability) may be ...

Correlia Biosystems Inc

Laboratory Technician

Berkeley, CA · On-site

$23.25 - $31/hr

The hire will receive extensive training and gain hands-on experience with manufacturing proteomic ... This is a full time position but part time options (minimum ~20 hr/week availability) may be ...

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All JobsProteomics JobsFull Time Proteomics Jobs

Full Time Proteomics information

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$48K

$86.5K

$144K

How much do full time proteomics jobs pay per year?

As of Jul 29, 2026, the average yearly pay for full time proteomics in the United States is $86,458.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full-Time Proteomics Scientist, and why are they important?

To excel as a Full-Time Proteomics Scientist, you need a strong background in biochemistry, molecular biology, and mass spectrometry, typically supported by an advanced degree (MSc or PhD) in a life science field. Proficiency in proteomic analysis software, liquid chromatography-mass spectrometry (LC-MS/MS) instrumentation, and relevant data processing tools is essential. Attention to detail, problem-solving abilities, and effective teamwork are critical soft skills for managing complex experiments and collaborating with interdisciplinary teams. These competencies ensure accurate data generation, innovative research outcomes, and successful project execution in proteomics-driven environments.

What types of projects and collaborations can a Full Time Proteomics specialist expect to be involved with in a typical research setting?

As a Full Time Proteomics specialist, you can expect to work on a variety of projects ranging from biomarker discovery and drug development to studying disease mechanisms at the molecular level. Collaboration is a core aspect of the role; you’ll often partner with biologists, bioinformaticians, and clinicians to design experiments, analyze mass spectrometry data, and interpret findings. The work environment is typically fast-paced and research-driven, requiring regular meetings and updates with multidisciplinary teams. These collaborations not only enhance the quality of research but also provide valuable opportunities for professional growth and networking within the scientific community.

What is the difference between Full Time Proteomics vs Laboratory Technician?

AspectFull Time ProteomicsLaboratory Technician
Required CredentialsBachelor's or Master's in Biochemistry, Molecular Biology, or related field; experience in proteomics techniquesAssociate's or Bachelor's degree in Life Sciences or related field; basic lab skills
Work EnvironmentResearch labs, biotech companies, academic institutionsHospital labs, research facilities, industrial labs
Employer & Industry UsageBiotech, pharmaceutical, academic researchHealthcare, research, manufacturing
Common Search & ComparisonProteomics roles, research scientist, lab specialistLab technician, research assistant, lab support

Full Time Proteomics roles typically require advanced degrees and specialized knowledge in proteomics techniques, working in research-focused environments. Laboratory Technicians usually have less formal education and support daily lab operations across various industries. Both roles are essential in scientific research but differ in responsibilities and qualifications.

What are Full Time Proteomics positions?

Full Time Proteomics positions are jobs where professionals work exclusively on studying proteomics, which is the large-scale study of proteins, their structures, functions, and interactions. These roles are typically found in academic research labs, biotech companies, or pharmaceutical organizations. Responsibilities may include conducting experiments, analyzing protein samples, developing new methods for protein identification, and interpreting data to understand biological processes or disease mechanisms. Full time roles mean the employee works standard hours, often with benefits, as opposed to part-time or contract positions. These positions often require specialized education in biochemistry, molecular biology, or a related field.
More about Full Time Proteomics jobs
What cities are hiring for Full Time Proteomics jobs? Cities with the most Full Time Proteomics job openings:
What are the most commonly searched types of Proteomics jobs? The most popular types of Proteomics jobs are:
What states have the most Full Time Proteomics jobs? States with the most job openings for Full Time Proteomics jobs include:
What job categories do people searching Full Time Proteomics jobs look for? The top searched job categories for Full Time Proteomics jobs are:
Full Time Proteomics jobs near you
Infographic showing various Full Time Proteomics job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $86,458 per year, or $41.6 per hour.
Post Doctoral Fellow

Post Doctoral Fellow

Saint Louis University

Saint Louis, MO • On-site

$47K - $64K/yr

Full-time

Posted 21 days ago

Saint Louis University rating

8.9

Company rating: 8.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

35th of 612 rated colleges and universities

Job description

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.
Postdoctoral Fellow - Computational Biology / Bioinformatics
Focus: Multi-omics and Longitudinal Modeling in Alzheimer's Disease
Appointment: Full-time, 1-year term (renewable pending funding and performance)
Position Overview
We are seeking a highly motivated Postdoctoral Fellow with a PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, or a related quantitative field to join an interdisciplinary research program focused on Alzheimer's disease (AD) and neurodegeneration.
The fellow will lead and contribute to advanced bioinformatics, multi-omics integration, and statistical modeling efforts using large, well-phenotyped longitudinal datasets (e.g., proteomics, transcriptomics, imaging, clinical, and biomarker data). The position is ideal for a candidate interested in mechanistic discovery, biomarker development, and translational neuroscience, with opportunities for high-impact publications and grant development.
Key Responsibilities
  • Perform computational analysis of large-scale omics datasets, including proteomics, transcriptomics, and related modalities
  • Integrate multi-omics data with clinical, cognitive, and imaging phenotypes in longitudinal cohorts
  • Develop and apply statistical and machine-learning models (e.g., mixed-effects models, survival analysis, dimensionality reduction, clustering, trajectory modeling)
  • Lead reproducible analysis pipelines in R, Python, or related frameworks
  • Interpret results in biological and clinical context, with emphasis on Alzheimer's disease mechanisms and biomarkers
  • Prepare figures, tables, and methods for peer-reviewed manuscripts and conference presentations
  • Collaborate with clinicians, wet-lab scientists, and biostatisticians in an interdisciplinary environment
  • Contribute to grant proposals and progress reports as appropriate
  • Mentor graduate or undergraduate trainees in computational methods (optional, depending on interest)

Required Qualifications
  • PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, Systems Biology, or a related quantitative discipline
  • Strong experience with high-dimensional biological data analysis
  • Proficiency in R and/or Python for statistical computing and data analysis
  • Solid foundation in statistics and data modeling, particularly for longitudinal or cohort-based data
  • Demonstrated ability to work independently and manage complex datasets
  • Strong written and verbal communication skills in English
  • Evidence of productivity (e.g., peer-reviewed publications, preprints, or advanced projects)

Preferred Qualifications
  • Experience with longitudinal modeling (e.g., mixed-effects models, disease progression modeling)
  • Familiarity with neurodegenerative disease research, Alzheimer's disease, or aging biology
  • Experience with proteomics platforms (e.g., Olink, SomaScan, mass spectrometry)
  • Knowledge of multi-omics integration, network analysis, or pathway enrichment methods
  • Experience working with large consortium datasets (e.g., ADNI, AMP-AD, UK Biobank, similar)
  • Interest in translational research, biomarker discovery, or drug target identification
  • Experience with reproducible research practices (version control, documentation, workflow tools)

Environment & Opportunities
The fellow will join a highly collaborative research environment at the interface of neurology, neuroscience, and computational biology, with access to rich datasets and strong clinical context. The position offers:
  • Intellectual ownership of projects
  • Opportunities for first-author publications
  • Exposure to grant writing and translational research strategy
  • Career mentorship tailored to academic, industry, or hybrid career paths

Term & Compensation
  • One-year appointment with possibility of renewal based on funding and performance
  • Competitive salary and benefits commensurate with experience and institutional guidelines

Application Instructions:
Applicants should submit:
1) Curriculum vitae 2) Brief cover letter describing research interests and relevant experience 3) Contact information for 2-3 references
Grant-funded Post-Doctoral appointments may be terminated if grant funding ends.
This position does not currently sponsor J1, H1B, or O visas.
Function
Research Support
Scheduled Weekly Hours:
40
Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

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