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Full Time Biobank 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 ... Experience working with large consortium datasets (e.g., ADNI, AMP-AD, UK Biobank, similar)

Kelly Services

Histology Scientist

Gaithersburg, MD

$40 - $45/hr

Monday-Friday 7:00am-4:00pm Employment Type: Full Time; Long term contract (Fully Benefited) Job ... Accession and manage research samples and biobank database, ensuring compliance with HBS guidelines ...

USC Gould School of Law

Project Assistant

Los Angeles, CA · On-site

$25.96 - $30/hr

The Imaging Genetics Center ( in Marina del Rey, California is looking for talented full-time ... and biobank data. The Project Assistant will: Apply expertise to a range of image processing ...

Kelly Services

Histology Scientist

Gaithersburg, MD

$40 - $45/hr

Monday-Friday 7:00am-4:00pm Employment Type: Full Time; Long term contract (Fully Benefited) Job ... Accession and manage research samples and biobank database, ensuring compliance with HBS guidelines ...

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How much do full time biobank jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for full time biobank in the United States is $18.59, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $20.67 per hour, depending on experience, location, and employer.

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

AspectFull Time BiobankFull Time Laboratory Technician
CredentialsTypically requires a bachelor's degree in biology, health sciences, or related fieldsOften requires an associate degree or certification in laboratory technology
Work EnvironmentWorks in biorepositories, handling biological samples, managing databasesWorks in labs performing tests, preparing samples, operating lab equipment
Industry UsageCommon in healthcare, research institutions, biobanking facilitiesCommon in hospitals, diagnostic labs, research labs

Full Time Biobanks focus on managing biological samples and data, often requiring specialized knowledge in sample preservation and database management. Full Time Laboratory Technicians perform testing and sample preparation in laboratory settings. While both roles require laboratory skills, biobanks emphasize sample storage and data management, whereas lab technicians focus on testing procedures.

What are some key challenges faced by professionals working full-time in a biobank, and how can they be managed?

Full-time biobank professionals often encounter challenges such as maintaining sample integrity, adhering to strict quality and data management protocols, and ensuring compliance with ethical and regulatory standards. Effective communication and collaboration with researchers, clinicians, and IT staff are essential for managing these challenges. Staying updated with best practices and regularly participating in training can help professionals navigate evolving technologies and regulations, ensuring high-quality biobanking operations.

What are the key skills and qualifications needed to thrive as a Full Time Biobank Technician, and why are they important?

To thrive as a Full Time Biobank Technician, you need a background in biological sciences, laboratory experience, and meticulous attention to detail, often supported by a relevant degree in biology or medical technology. Familiarity with sample management systems, laboratory information management systems (LIMS), and biospecimen handling protocols is crucial. Strong organizational skills, teamwork, and effective communication set outstanding professionals apart in this field. These skills ensure the accurate processing, storage, and tracking of biological samples, which are essential for supporting research and maintaining data integrity.

What is a full time biobank professional?

A full time biobank professional is someone who works in a facility dedicated to the collection, processing, storage, and management of biological samples such as blood, tissue, or DNA for research purposes. Their responsibilities often include ensuring proper sample handling, maintaining detailed records, and following strict ethical and legal guidelines. These professionals play a crucial role in supporting scientific research, clinical studies, and advancements in personalized medicine.
More about Full Time Biobank jobs
What are the most commonly searched types of Biobank jobs? The most popular types of Biobank jobs are:
What states have the most Full Time Biobank jobs? States with the most job openings for Full Time Biobank jobs include:
What job categories do people searching Full Time Biobank jobs look for? The top searched job categories for Full Time Biobank jobs are:
Full Time Biobank jobs near you
Infographic showing various Full Time Biobank job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $38,661 per year, or $18.6 per hour.
Post Doctoral Fellow

Post Doctoral Fellow

Saint Louis University

Saint Louis, MO • On-site

$47K - $64K/yr

Full-time

Posted 17 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

30th of 560 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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