ZipRecruiter

Log In

1

Nih Bioinformatics Jobs in Tennessee (NOW HIRING)

Meharry Medical College

Postdoctoral Fellow

Nashville, TN · On-site

$47K - $64K/yr

The Postdoctoral Fellow will support an NIH R16-funded research project. The position focuses on ... D. in either computer science, bioinformatics, quantitative science, computational biology, or ...

All JobsNih Bioinformatics JobsNih Bioinformatics Jobs in Tennessee

Nih Bioinformatics information

See Tennessee salary details

$54K

$85.7K

$135.7K

How much do nih bioinformatics jobs pay per year?

As of Sep 4, 2026, the average yearly pay for nih bioinformatics in Tennessee is $85,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $117,500.00 per year, depending on experience, location, and employer.

What is an NIH Bioinformatics?

An NIH Bioinformatics job involves using computational tools and techniques to analyze biological data, often in fields like genomics, proteomics, and biomedical research. Professionals in this role work with large datasets to support medical and scientific discoveries, aiding in public health and personalized medicine. These jobs can be research-focused, involving algorithm development, data visualization, and statistical modeling. They are typically found at the National Institutes of Health (NIH) or NIH-funded organizations, supporting projects that advance medical knowledge. Strong programming skills, biological expertise, and experience with bioinformatics tools are often required.

What are the typical daily responsibilities of an NIH Bioinformatics professional?

As an NIH Bioinformatics professional, your daily tasks often include analyzing large-scale genomic or proteomic data, developing and maintaining computational pipelines, and collaborating with biologists and clinicians to interpret research findings. You may regularly write scripts to optimize data processing, curate databases, and generate visualizations or reports for ongoing projects. Close collaboration with diverse research teams is common, requiring adaptability and clear communication. These responsibilities support the NIH's mission to advance biomedical research and drive meaningful, data-driven scientific insights.

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

To thrive as an NIH Bioinformatics professional, you need a strong background in biology, genomics, and computational science, typically supported by a relevant advanced degree. Familiarity with bioinformatics software (such as BLAST, GATK, or R/Bioconductor), programming languages like Python or Perl, and experience with large data sets are crucial. Excellent problem-solving, collaboration, and communication skills set candidates apart in multidisciplinary research environments. These abilities are essential for analyzing complex biological data, contributing to impactful scientific discoveries, and working effectively with cross-functional teams.

What are popular job titles related to Nih Bioinformatics jobs in Tennessee?

For Nih Bioinformatics jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Nih Bioinformatics jobs in Tennessee look for?

The top searched job categories for Nih Bioinformatics jobs in Tennessee are:

What cities in Tennessee are hiring for Nih Bioinformatics jobs?

Cities in Tennessee with the most Nih Bioinformatics job openings:

Nih Bioinformatics jobs near you
Infographic showing various Nih Bioinformatics job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 65% Full Time, 8% Part Time, and 26% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $85,746 per year, or $41.2 per hour.

Postdoctoral Scholar-Pharmacology

The University of Tennessee

Memphis, TN • On-site

Full-time

Posted 14 days ago

Job description


THIS IS A GRANT-FUNDED POSITION FUNDED UNTIL OCTOBER 1, 2030
The Department of Pharmacology, Addiction Science, and Toxicology at the University of Tennessee Health Sciences is seeking a Postdoctoral Scholar to lead the computational analysis and artificial intelligence (AI) integration for a major NIH funded grant. The successful candidate will be responsible for extracting biological insights from large-scale, high-dimensional sequencing data using a combination of conventional bioinformatics and cutting-edge machine learning methodologies.
Responsibilities
  1. Leads the analysis of foundational multi-omics datasets, including single-molecule long-read DNA methylation (CpG), direct RNA sequencing, and single-nucleus RNA-seq (snRNA-seq) generated across diverse rat strains and brain regions.
  2. Adapts and fine-tunes existing deep learning models (e.g., AlphaGenome, DeepSEA, DNA Hyena, scGPT) to improve variant effect prediction and automated cell-type annotation specifically for rat genomic data.
  3. Develops and implements a Retrieval-Augmented Generation (RAG) framework utilizing Large Language Models (LLMs) to synthesize information from biomedical literature and generate novel, testable hypotheses regarding Substance Use Disorder (SUD) mechanisms.
  4. Utilizes advanced statistical frameworks (e.g., Multi-Omics Factor Analysis) to integrate genomic, epigenomic, transcriptomic, and proteomic data.
  5. Drafts high-impact manuscripts for peer-reviewed journals and present research findings and resources at national and international conferences.
  6. Oversees the utilization of high-performance computational resources, including dedicated GPU workstations for LLM evaluation and testing.
  7. Performs other duties as assigned.

Qualifications
EDUCATION: Ph.D. in Bioinformatics, Computational Biology, Computer Science, Neuroscience, or a related quantitative field.
EXPERIENCE: Experience in AI integration, extracting biological insights from large-scale high-dimensional sequencing data. Computational biology and AI preferred.
KNOWLEDGE, SKILLS, AND ABILITIES:
  • Strong understanding of long-read sequencing technologies and multi-omics integration.
  • Ability to work independently in a fast-paced, multi-disciplinary research environment.
  • Excellent communication skills for collaborating with experimentalists and disseminating research outputs.

Apply