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Associate Bioinformatician Jobs (NOW HIRING)

Research Associate 2

Oak Ridge, TN ยท On-site +1

$35.19 - $48.95/hr

The early career research associate will contribute to the Common Fund Data Ecosystem (CFDE ... D. preferred in Bioinformatics, Biomedical Informatics, Computational Biology, Molecular Biology ...

Research Associate 2

Oak Ridge, TN ยท On-site +1

$35.19 - $48.95/hr

The early career research associate will contribute to the Common Fund Data Ecosystem (CFDE ... D. preferred in Bioinformatics, Biomedical Informatics, Computational Biology, Molecular Biology ...

Research Associate 2

Oak Ridge, TN ยท On-site +1

$35.19 - $48.95/hr

The early career research associate will contribute to the Common Fund Data Ecosystem (CFDE ... D. preferred in Bioinformatics, Biomedical Informatics, Computational Biology, Molecular Biology ...

OceanX is seeking a Postdoctoral Associate in a field related to marine biology, oceanography, molecular ecology, bioinformatics, or a closely related discipline. This position combines laboratory ...

Showing results 41-60

Associate Bioinformatician information

See salary details

$54.5K

$96.2K

$139K

How much do associate bioinformatician jobs pay per year?

As of Aug 15, 2026, the average yearly pay for associate bioinformatician in the United States is $96,169.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $109,500.00 per year, depending on experience, location, and employer.

What is the difference between Associate Bioinformatician vs Bioinformatics Analyst?

AspectAssociate BioinformaticianBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldBachelor's or Master's in Bioinformatics, Computer Science, or related field
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch institutions, healthcare, biotech firms
Employer & Industry UsagePharmaceuticals, biotech, academiaHealthcare, research, biotech
Common Search & ComparisonYesYes

The Associate Bioinformatician typically supports data analysis and computational tasks under supervision, focusing on research projects. The Bioinformatics Analyst often performs data interpretation, reporting, and may have more client-facing or project management responsibilities. Both roles require similar educational backgrounds but differ slightly in scope and responsibilities within the bioinformatics field.

What are the key skills and qualifications needed to thrive as an associate bioinformatician, and why are they important?

To thrive as an Associate Bioinformatician, you need a solid background in biology, statistics, and computer science, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (e.g., BLAST, Bowtie), and knowledge of databases like GenBank are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex data clearly make someone stand out in this position. These skills ensure accurate data analysis, effective collaboration with research teams, and meaningful contributions to scientific discoveries.

What are some common challenges faced by an associate bioinformatician when working on interdisciplinary teams?

As an Associate Bioinformatician, one common challenge is effectively communicating complex computational findings to colleagues from diverse backgrounds, such as biologists or clinicians, who may not have extensive coding or data analysis experience. Balancing the need to deliver accurate, reproducible results with project deadlines can also be demanding, especially when handling large datasets or troubleshooting data quality issues. Additionally, adapting to rapidly evolving bioinformatics tools and staying updated on best practices is essential for success in collaborative research environments.

What does an associate bioinformatician do?

An Associate Bioinformatician is a professional who applies computational and statistical techniques to analyze biological data, such as DNA, RNA, or protein sequences. They often work closely with scientists and researchers to interpret large datasets generated from experiments, helping to uncover insights in genomics, transcriptomics, and other 'omics' fields. Their responsibilities may include developing and running bioinformatics pipelines, managing databases, and preparing data visualizations or reports for research projects. Typically, this is an entry- to mid-level role, ideal for those with a strong background in biology, computer science, or related fields.
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Cities with the most Associate Bioinformatician job openings:

What are the most commonly searched types of Bioinformatician jobs?

The most popular types of Bioinformatician jobs are:

What states have the most Associate Bioinformatician jobs?

States with the most job openings for Associate Bioinformatician jobs include:

Infographic showing various Associate Bioinformatician job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $96,169 per year, or $46.2 per hour.

Bioinformatics Research Assistant - Pediatrics Newborn Medicine

Washington University

Saint Louis, MO โ€ข On-site

$17.10 - $29.09/hr

Full-time

Medical, Retirement, PTO

Re-posted 19 days ago


Job description

Location
ST. LOUIS, MO 63108Scheduled Hours
40
Position Summary
This Bioinformatics Research Assistant is a dry-lab position and will play a key role in a collaborative team dedicated to uncovering the genomic basis of rare diseases as part of the Washington University Undiagnosed Diseases Network and other WashU local rare disease projects. This role focuses on working with large genomic datasets to analyze data from whole genome and exome sequencing, short- and long-read RNA sequencing, long-read genome sequencing, and epigenomics data. This technician will support the execution of bioinformatics workflows and pipelines to facilitate variant discovery, perform variant analysis/prioritization based on biological relevance, manage storage and transfer of large datasets, and assist in evaluating new computational methods and tools.
Job Description
Primary Duties & Responsibilities:
  • Run computational bioinformatics pipelines on a local high-performance computing cluster to analyze genomic datasets.
  • Conduct variant analysis and curation, helping to identify genomic variants underlying rare disease.
  • Maintain and manage large datasets, including data storage and data transfer of genomic data.
  • Contribute to developing and refining computational workflows to improve the efficiency and accuracy of genomic data processing and analysis.
  • Work closely with a multidisciplinary team of geneticists, bioinformaticians, and clinicians to communicate findings and interpret results within the context of rare disease research.
  • Assist in preparing project reports, presentations, and manuscripts as needed.
  • Performs other duties as assigned.

Working Conditions:
Job Location/Working Conditions
  • Works in a laboratory environment with potential exposure to biological and chemical hazards
  • Must be physically able to wear protective equipment and to provide standard care to research animals
  • Normal office environment

Physical Effort
  • Typically sitting at desk or table
  • Repetitive wrist, hand or finger movement

Equipment
  • Office equipment

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.
Required Qualifications
Education:
Bachelor's degree or combination of education and/or experience may substitute for minimum education.
Certifications/Professional Licenses:
No specific certification/professional license is required for this position.
Work Experience:
No specific work experience is required for this position.
Skills:
Not Applicable
Driver's License:
A driver's license is not required for this position.
More About This Job
WashU seeks highly motivated individuals who are able to perform duties in a manner consistent with our core mission and guiding principles.
Preferred Qualifications
Education:
Bachelor's degree - Bioinformatics, Bachelor's degree - Biology, Bachelor's degree - Computational Biology
Certifications/Professional Licenses:
No additional certification/professional licenses unless stated elsewhere in the job posting.
Work Experience:
Relevant Experience (1 Year)
Skills:
Analytical Thinking, Bioinformatics, Bioinformatics Tools, Biostatistics, Complex Data Analysis, Computational Biology, Critical Reasoning, Data Management, Data Reporting, Datasets, Exome Sequencing, Genome Sequencing, Genomic Data Analysis, Genomics Research, Human Genetics, Linux Programming, Microarrays, Model Organism, Problem Solving, Python (Programming Language), RNA Sequencing, R Programming, Sequence Analysis, Team-Oriented, Working Independently
Grade
R07-H
Salary Range
$17.10 - $29.09 / Hourly
The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.
Questions
For frequently asked questions about the application process, please refer to our External Applicant FAQ.
Accommodation
If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.
All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.
Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
Benefits Statement
Personal
  • Up to 22 days of vacation, 10 recognized holidays, and sick time.
  • Competitive health insurance packages with priority appointments and lower copays/coinsurance.
  • Take advantage of our free Metro transit U-Pass for eligible employees.
  • WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%.

Wellness
  • Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more!

Family
  • We offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? We've got you covered.
  • WashU covers the cost of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us.

For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/
EEO Statement
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University's policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.