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Animal Research Bioinformatics Jobs (NOW HIRING)

Howard University

Research Scientist

Baltimore, MD · On-site

$80K - $90K/yr

... animal care, and research integrity. * Perform other related duties as assigned. Core Competencies * Familiarity with digital spatial profiling, multiplex imaging, or bioinformatics analysis.

Amherst College

Research Assistant (Biology)

Amherst, MA · On-site

$20.87 - $22/hr

The Research Assistant (Biology) is a full-time, fixed-term position. The expected salary range for ... Quantification of images and RNA sequencing data using basic bioinformatic tools * Animal ...

JobElephant

Research Assistant (Biology)

Amherst, MA · On-site

$20.87 - $22/hr

Research Assistant (Biology) Amherst Campus Full Time JR6974 Amherst has taken a leadership role ... Quantification of images and RNA sequencing data using basic bioinformatic tools * Animal ...

Indiana University

Research Analyst

Indianapolis, IN · On-site

$51K - $61K/yr

Her lab utilizes molecular, biochemical, and bioinformatics-based in vitro and in vivo approaches ... Specifically, the lab utilizes primary cell culture and multiple animal models of pulmonary ...

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All JobsAnimal Research Bioinformatics Jobs

Animal Research Bioinformatics information

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$59.5K

$94.5K

$149.5K

How much do animal research bioinformatics jobs pay per year?

As of Jun 17, 2026, the average yearly pay for animal research bioinformatics in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the difference between Animal Research Bioinformatics vs Laboratory Animal Technician?

AspectAnimal Research BioinformaticsLaboratory Animal Technician
Required CredentialsDegree in bioinformatics, biology, or related field; experience with data analysis and programmingHigh school diploma or associate degree; training in animal care and handling
Work EnvironmentResearch labs, data analysis centers, computational settingsAnimal facilities, research labs, animal care areas
Employer & Industry UsageResearch institutions, biotech companies, universitiesResearch institutions, animal research facilities, universities
Common Search & Comparison IntentUnderstanding bioinformatics roles in animal researchAnimal care and handling in research settings

Animal Research Bioinformatics focuses on analyzing biological data related to animal studies, requiring skills in data analysis and programming. In contrast, Laboratory Animal Technicians primarily handle animal care, husbandry, and ensuring ethical treatment. Both roles are essential in animal research but differ significantly in skills, environment, and responsibilities.

How does an Animal Research Bioinformatics professional typically collaborate with laboratory scientists and veterinarians on research projects?

Animal Research Bioinformatics professionals often work closely with laboratory scientists and veterinarians to ensure that experimental data is accurately collected, analyzed, and interpreted. They translate complex biological questions into computational workflows, help design experiments with robust data analysis in mind, and routinely discuss findings with the broader team to guide research directions. Effective communication is key, as bioinformaticians must often explain technical results in accessible terms and adapt their approaches based on feedback from animal health experts. This collaborative environment fosters interdisciplinary learning and helps drive innovative research outcomes.

What is animal research bioinformatics?

Animal research bioinformatics is an interdisciplinary field that applies computational and statistical techniques to analyze biological data generated from animal studies. This work supports research in areas such as genetics, genomics, and behavior by helping scientists interpret large datasets, identify patterns, and draw meaningful conclusions. Professionals in this field often collaborate with biologists, veterinarians, and other researchers to improve animal health, understand disease mechanisms, and advance biomedical research. Their work is critical for translating animal research findings into practical applications in medicine, agriculture, and conservation.

What are the key skills and qualifications needed to thrive as an Animal Research Bioinformatics Specialist, and why are they important?

To thrive as an Animal Research Bioinformatics Specialist, you need a strong background in biology, statistics, and computational analysis, typically supported by a degree in bioinformatics, computational biology, or a related field. Proficiency with bioinformatics tools (such as BLAST, R, Python, and genomic databases) and experience with high-throughput sequencing data analysis are essential. Strong problem-solving abilities, attention to detail, and effective communication skills help in interpreting complex data and collaborating with interdisciplinary research teams. These skills ensure accurate analysis and meaningful insights that advance animal research and scientific discovery.
Infographic showing various Animal Research Bioinformatics job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 35% Full Time, 55% Part Time, and 5% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Postdoctoral Research Fellow

Postdoctoral Research Fellow

Harvard University

Cambridge, MA • On-site

$75K/yr

Full-time

Posted 8 days ago

Harvard University rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

130th of 537 rated colleges and universities

Job description

Position
Details
Title
Postdoctoral Research Fellow
School
Harvard T.H. Chan School of Public Health
Department/Area
Biostatistics
Position Description
OVERALL RESPONSIBILITY
The Huttenhower lab at the Broad Institute and the Departments of Biostatistics and Immunology and Infectious Diseases at the Harvard T.H. Chan School of Public Health is seeking one or more postdoctoral fellows. The successful candidate(s) will work broadly in microbiome population studies and molecular multi-omics, with specifics to be determined by individual interest and experience. Funded projects with open positions include:
  • Computational methods development and consortium data management for the Human Virome Program, with the mandate to characterize viral (phage and eukaryotic) communities across the human body in health and disease.
  • Integration host and microbiome multi-omics for early-onset colorectal cancer biomarker development and prevention.
  • Human-animal microbiome interactions and microbiome biochemical responses to nutrition using canine and feline companion animal models, in collaboration with Hill's Pet Nutrition.
  • Characterizing the oral (tongue swab) microbiome in chronic cardiometabolic disease (particularly coronary heart disease and type 2 diabetes) using a subset of the 20,000 individuals enrolled in the Nurses' Health Study II Micro-N (Microbiome among Nurses) study.

The incumbent will be an integral member of our group, working alongside postdocs, research staff, and students, as well as with collaborators and established software development teams. Our interdisciplinary lab represents a convergence of microbial ecology, bioinformatics, biostatistics, molecular microbiology, computer science, and software development.
PRINCIPAL DUTIES AND RESPONSIBILITIES (Essential Functions)
  • Facility with analytical methods for microbiome data, particularly computational approaches for metagenomic and metatranscriptomic profiling, multi-omic integration (e.g. with metabolomics or genetics), and their application in population studies.
  • * Familiarity with computational environments for 'omics data manipulation (command line, Python, R, etc.)
  • * Deep knowledge in at least one relevant subdiscipline, i.e. bioinformatics, microbiology, microbial ecology, biostatistics, epidemiology, nutrition, immunology, or similar.
  • * Presentation of results to collaborators, local, national, and international scientific audiences comprising broad backgrounds (quantitative, computational, and biological).
  • Optional mentoring and/or teaching opportunities in the context of Ph.D. students from the Harvard Chan School / Harvard Medical School, junior scientists, and Harvard and public guest lectures and short course workshops.
  • Regular interaction with internal and external contacts, including Harvard scientists, collaborators, students, postdocs, and external clinicians and industry leaders.
  • Collaboration with teams of students, postdoctoral researchers, and faculty associated with both the Huttenhower lab and with the broader Harvard Chan Microbiome in Public Health Center on microbiome bioactive discovery and translation.

Basic Qualifications
  • Ph.D. in Computational Biology, Molecular Biology, Computer Science, Biostatistics or related fields. Some experience with microbiome, microbiological, or molecular 'omics preferred.
  • Familiarity with methods for high-throughput sequence analysis, ideally microbial community metagenomics and/or microbial genetics.
  • Excellent record of scientific contributions, publications, and presentations; primary or key author on one or more major presentations and papers.
  • Must be able to handle a variety of tasks, to effectively solve problems with numerous and complex variables, and to shift priorities rapidly.
  • Demonstrated success in working on complex, novel research problems in a collegial environment.
  • Creativity, curiosity, and the desire, persistence and ability to create scientific advances in human microbiome science.

Additional Qualifications
Special Instructions
Please send application materials (CV and cover letter) along with contact information for at least three references to Nicole Levesque, levesque@hsph.harvard.edu.
Contact Information
Nicole Levesque
Contact Email
levesque@hsph.harvard.edu
Salary Range
$75,000 per year
Minimum Number of References Required
3
Maximum Number of References Allowed
4
Keywords

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