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Bioinformatics Postdoctoral Jobs (NOW HIRING)

Guidehouse

Bioinformatics Scientist

Bethesda, MD · On-site

$65K - $108K/yr

Provide scientific mentorship and guidance to students, postdoctoral fellows, technicians, and other staff in developing bioinformatics pipelines, particularly for spatial transcriptomics ...

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How much do bioinformatics postdoctoral jobs pay per year?

As of Aug 12, 2026, the average yearly pay for bioinformatics postdoctoral in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What types of research projects do bioinformatics postdoctoral researchers typically work on?

Bioinformatics Postdoctoral researchers often engage in projects involving large-scale genomics, transcriptomics, or proteomics data analysis, such as identifying disease-associated genetic variants or understanding gene expression patterns. Their daily responsibilities may include developing new algorithms, running computational analyses, and interpreting complex biological datasets in collaboration with experimental scientists. Team structures can vary, but most positions involve close interaction with both computational and laboratory researchers, providing an interdisciplinary work environment. Participation in publishing research findings and presenting at conferences is also common, offering valuable experience and professional growth.

What is a bioinformatics postdoctoral?

A Bioinformatics Postdoctoral job is a research-focused position for individuals who have recently earned a Ph.D. in bioinformatics, computational biology, or a related field. Postdocs work on advanced computational and statistical methods to analyze biological data, often collaborating with interdisciplinary teams. Responsibilities may include developing algorithms, analyzing genomic or transcriptomic data, and contributing to scientific publications. These positions are typically temporary, lasting two to five years, and serve as a bridge to independent research roles or industry positions.

What are the key skills and qualifications needed to thrive in the bioinformatics postdoctoral position, and why are they important?

To excel as a Bioinformatics Postdoctoral, you should possess a Ph.D. in bioinformatics, computational biology, or a related field, along with strong analytical and programming skills. Experience with software tools like R, Python, Linux/UNIX, high-throughput sequencing platforms, and bioinformatics databases is typically expected. Outstanding problem-solving abilities, communication skills, and collaborative spirit help distinguish top candidates. These competencies are crucial for effectively designing experiments, analyzing complex biological data, and contributing to multidisciplinary research teams.

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Bioinformatics Postdoctoral jobs near you
Infographic showing various Bioinformatics Postdoctoral job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.

Postdoctoral Associate - Cancer biology and bioinformatics

Baylor College of Medicine

Houston, TX

Full-time

Re-posted 27 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

187th of 618 rated colleges and universities

Job description

Summary

Dr. Putluri’s laboratory at Baylor College of Medicine is seeking a highly motivated and talented Postdoctoral Fellow to join our multidisciplinary cancer research team. The lab is seeking a highly motivated Postdoctoral Associate with strong expertise in cancer biology or molecular biology, and additional skills in bioinformatics/data analysis, to join our multidisciplinary research team at Baylor College of Medicine. The Postdoctoral Associate will work on cutting-edge translational cancer research projects involving tumor cell signaling, metabolic reprogramming, immuno-oncology, and therapeutic target identification. The lab focuses on understanding metabolic and molecular vulnerabilities driving cancer progression, therapeutic resistance, and tumor–immune interactions. This position offers opportunities to work with cutting-edge cancer models, 3D culture systems, and translational human samples. This position offers the opportunity to work with state-of-the-art platforms, including patient-derived models (PDXs), 3D organoids/spheroids, advanced molecular assays, and multi-omics datasets.

Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.

Job Duties
  • Conducts in vitro cancer biology experiments, including 2D culture, 3D organoids, spheroids, and patient-derived models.
  • Performs CRISPR/Cas9-mediated gene knockout (KO), siRNA/shRNA-mediated knockdown (KD), and validation of engineered cell lines.
  • Conducts the multi-omics data analysis including RNA-seq, proteomics, metabolomics, ChIP-seq, single-cell RNA-seq, and spatial data and multi-omics data integration.
  • Executes molecular and biochemical assays such as qPCR, Western blotting, ELISA, flow cytometry, and functional phenotyping.
  • Contributes to the generation and characterization of knockout (KO) mouse models, including colony maintenance, genotyping, and phenotypic analysis.
  • Performs mouse studies using immune-competent strains and immune-compromised NSG mice that includes tumor implantation, drug treatment, and immune profiling.
  • Establishes and monitors orthotopic xenograft models to study tumor growth and progression within relevant tissue microenvironments.
  • Conducts luciferase labeling of cancer cells and use bioluminescence imaging to trace tumor growth and metastasis in vivo.
  • Performs mechanistic studies examining cancer signaling pathways, cytokine biology, therapeutic resistance, and tumor metabolism.
  • Designs and executes xenograft, orthotopic, syngeneic, and PDX in vivo studies.
  • Develops and maintains 3D organoids/spheroids and support in vivo therapeutic testing.
  • Collaborates with experimental biologists, computational biologists, and clinicians to drive mechanistic and translational outputs.
  • Prepares manuscripts, figures, and grant-related materials, and organize data for grant/paper submissions.
  • Presents research findings at internal meetings and national/international conferences.
  • Mentor’s students and support collaborative projects across laboratories. 
  • Performs other job-related duties as assigned.
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • Strong coding experience using R and Python for data analysis.
  • Expertise in the biological interpretation of multi-omics datasets (RNA-seq, proteomics, metabolomics, ChIP-seq, single-cell RNA-seq, and spatial data) and experience in multi-omics data integration.
  • Has the ability to develop algorithms and code for innovative multi-omics data analysis. 

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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