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Trainee Bioinformatics Jobs in Missouri (NOW HIRING)

Saint Louis University

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

Mentor graduate or undergraduate trainees in computational methods (optional, depending on interest) Required Qualifications * PhD in Computational Biology, Bioinformatics, Biostatistics, Data ...

Saint Louis University

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

Mentor graduate or undergraduate trainees in computational methods (optional, depending on interest) Required Qualifications * PhD in Computational Biology, Bioinformatics, Biostatistics, Data ...

Washington University of St. Louis

Mentor graduate students and other laboratory trainees while contributing to a collaborative ... Bioinformatics, Computational Biology, Chemistry, or a related discipline. * Experience in one or ...

University of Rochester

$77K - $116K/yr

The Department of Surgery seeks a Bioinformatics Analyst II to provide biostatistical and ... TRAINING AND ADMINSTRATIVE DUTIES Provide statistical guidance to trainees and faculty. Work with ...

Washington University of St. Louis

In addition, candidates with research experience with bioinformatics and next-generation sequencing ... Collegial conduct towards co-trainees, staff members and members of the research group. * Adherence ...

Washington University of St. Louis

The lab has extensive expertise in both bench science and bioinformatics and is a key member of the ... Collegial conduct towards co-trainees, staff members and members of the research group. * Adherence ...

Washington University of St. Louis

NGS, bioinformatics, biochemistry, genetic screens, virological and bacteriological methods ... Collegial conduct towards co-trainees, staff members and members of the research group. * Adherence ...

Washington University of St. Louis

... bioinformatics, molecular biology, tumor biology and hematopoiesis. Candidates are expected to ... Collegial conduct towards co-trainees, staff members and members of the research group. * Adherence ...

Washington University of St. Louis

Collegial conduct towards co-trainees, staff members and members of the research group. Working ... bioinformatics analysis. * Strong publication record in peer-reviewed journals. Preferred ...

Washington University of St. Louis

Build expertise across virology, immunology, and bioinformatics. Join a collaborative, cross ... Collegial conduct towards co-trainees, staff members and members of the research group. * Adherence ...

All JobsBioinformatics JobsTrainee Bioinformatics JobsTrainee Bioinformatics Jobs in Missouri

Trainee Bioinformatics information

See Missouri salary details

$46K

$190.9K

$375.2K

How much do trainee bioinformatics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for trainee bioinformatics in Missouri is $190,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $375,200.00 per year, depending on experience, location, and employer.

What is a trainee bioinformatics?

Trainee Bioinformaticians are entry-level professionals who are learning to apply computational and statistical methods to analyze biological data, such as DNA, RNA, or protein sequences. They often work under the supervision of experienced bioinformaticians or researchers, assisting with data processing, software development, and research projects. Their role is crucial in fields like genomics, biomedical research, and pharmaceutical development, as they help make sense of complex biological information. Trainee Bioinformaticians typically have a background in biology, computer science, or a related field, and are developing their skills in programming, data analysis, and bioinformatics tools.

What kinds of projects or tasks can a trainee bioinformatics expect to work on during their initial months?

As a Trainee Bioinformatics, you can expect to contribute to projects involving data preprocessing, quality control, and basic analysis of biological datasets, such as genomic or transcriptomic data. You will likely collaborate closely with senior bioinformaticians, biologists, and software developers, assisting with data annotation, pipeline testing, and report generation. The early stages often focus on building foundational skills in scripting (such as Python or R), using bioinformatics tools, and understanding the lab's data workflows, which sets you up for more complex analytical tasks as you gain experience.

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

To thrive as a Trainee Bioinformatics, you need a solid grounding in biology, statistics, and computer science, often backed by a relevant bachelor's or master's degree. Familiarity with programming languages such as Python or R, experience with bioinformatics databases, and use of tools like BLAST or Galaxy are typically required. Strong analytical thinking, attention to detail, and effective communication help you interpret complex data and collaborate with interdisciplinary teams. These skills and qualities are essential for extracting meaningful insights from biological data and supporting scientific research.

What is the difference between Trainee Bioinformatics vs Bioinformatics Analyst?

AspectTrainee BioinformaticsBioinformatics Analyst
Required CredentialsTypically a bachelor's degree in bioinformatics, biology, or related field; entry-levelBachelor's or master's degree; some roles prefer experience or certifications
Work EnvironmentTraining programs, internships, or entry-level positions in research labs or biotech companiesFull-time roles in research institutions, biotech firms, or healthcare organizations
Employer & Industry UsageUsed by employers for onboarding new talent or students gaining practical experienceUsed by employers for ongoing data analysis, research projects, and bioinformatics workflows

The main difference between a Trainee Bioinformatics and a Bioinformatics Analyst is experience level and responsibility. Trainee Bioinformatics roles are designed for individuals starting their careers, focusing on learning and skill development. Bioinformatics Analysts are more experienced professionals responsible for analyzing biological data, interpreting results, and supporting research projects.

What are the most commonly searched types of Bioinformatics jobs in Missouri?

The most popular types of Bioinformatics jobs in Missouri are:

What are popular job titles related to Trainee Bioinformatics jobs in Missouri?

For Trainee Bioinformatics jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Trainee Bioinformatics jobs in Missouri look for?

The top searched job categories for Trainee Bioinformatics jobs in Missouri are:

What cities in Missouri are hiring for Trainee Bioinformatics jobs?

Cities in Missouri with the most Trainee Bioinformatics job openings:

Trainee Bioinformatics jobs near you
Infographic showing various Trainee Bioinformatics job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $190,854 per year, or $91.8 per hour.

Post Doctoral Fellow

Saint Louis University

Saint Louis, MO • On-site

$47K - $64K/yr

Full-time

Re-posted 15 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

33rd of 620 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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