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Animal Research Bioinformatics Jobs (NOW HIRING)

4406

Research Scientist, Optics, Levi Lab

Dallas, TX

The Research Scientist will support ongoing bench and animal work within the lab related to skin ... Able to perform data analysis and interpretation using bioinformatics tools, statistical methods ...

University of Chicago

Faculty Member

Chicago, IL

The Department offers access to gnotobiotic animal research, flow cytometry, high-throughput ... bioinformatic resources for large-scale data integration and analytics. Prior to the start of ...

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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

Tulane University

New Orleans, LA • On-site

Full-time

Posted 20 days ago

Tulane University rating

6.9

Company rating: 6.9 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

388th of 537 rated colleges and universities

Job description

Description
The position for the Department of Medicine and Center for Cellular and Molecular Diagnostics will develop mechanism-driven technologies for detecting and quantifying biomarkers relevant to major human diseases. The role includes applying and validating these methods using samples from animal models and human subjects, and rigorously evaluating analytical performance.
Essential Functions: The incumbent assigned to this classification will perform some or all of the following universal essential functions approximately 95% of his/her time.
Function: Technology development and validation studies. Designs, fabricates, and optimizes novel nanomaterials or biosensors for high-sensitivity detection of nucleic acids or protein biomarkers. Independently designs and executes experiments using cell cultures, animal models, and human clinical samples to validate diagnostic performand and analytical metrics. Performs rigorous data organization and evaluation of assay performance.
Function: Data analysis and scientific communication. Performs advanced biostatistical analysis and interprets complex experimental data. Prepares figures and results summaries, drafts manuscripts for publication; presents findings at lab meetings and conferences; assists in grant proposal preparation as needed.
Qualifications
REQUIRED EDUCATION, EXPERIENCE, KNOWLEDGE, ABILITIES/COMPETENCIES TYPICALLY NEEDED TO PERFORM THIS JOB SUCCESSFULLY:
  • Ph.D. (or nearing completion) in Biomedical Engineering, Analytical Chemistry, Molecular Biology, Material Science, or a related field.
  • Research experience in nanopore, material or biosensor design and development, technologies forbiomarker discovery, studies on extracellular vesicles or nano/micro scale liquid chromatography, electrospray ionization, high resolution mass spectrometry, protein biochemistry, top-down and bottom-up proteomics including project design,sample preparation and data analysis, PTM identification.
  • Scientific rigor: ability to critically analyze literature, identify knowledge gaps, and design hypothesis-driven experiments.
  • Technology development: ability to design and fabricate novel nanomaterials, biosensors, or microfluidic systems for high-sensitivity detection of nucleic acids or protein biomarkers.
  • Validation studies: ability to independently design and execute experiments using cell cultures, animal models, and human clinical samples to validate diagnostic performance and analytical metrics.
  • Molecular methods: experience with nucleic acid amplification(CRISPR/Cas, PCR) and DNA/RNA isolation from complex fluids (e.g., cell-free DNA) and/or nanoprobe fabrication.
  • Data analysis: ability to perform advanced biostatistical analysis, interpret complex experimental data, and create publication-quality visualizations (e.g., GraphPad Prism, Origin, R, or Python).
  • Strong computer skills, including an advanced working knowledge of Microsoft Word, Excel, and PowerPoint.
  • Excellent written and verbal English communication skills; ability to prepare high-quality manuscripts and presentations and provide constructive critiques on peer manuscripts.
  • Strong organizational skills, attention to detail, and the capacity to multitask in a fast-paced environment.
  • Ability to work collaboratively and professionally while maintaining appropriate confidentiality and compliance expectations in research settings.

PREFERRED QUALIFICATIONS:
Candidate possess deep expertise in Multi-Omics Research & Bioinformatics:
  • Genomics & Transcriptomics: Proficiency in Next-Generation Sequencing (NGS) workflows, Whole Genome Sequencing(WGS), or RNA-seq.
  • Proteomics: Experience with Mass Spectometry (LL-MS/MS, MALDI), bottom-up/top-down proteomics, and PTM identification.
  • Bioinformatics: Strong coding skills (Python, R, or Linux/Unix) for analyzig large-scale omics data.

Application Instructions
Please submit your current CV with your email address listed.

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