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Nih Staff Scientist Jobs (NOW HIRING)

BCC-NIH

Staff Scientist

Bethesda, MD · On-site

Overview Black Canyon Consulting is seeking a Staff Scientist to work with a Principal ... NIH Roadmap Epigenomics * UCSC Genome Database * Apply AI methodologies to functionally annotate ...

BCC-NIH

Staff Scientist

Bethesda, MD · On-site

Overview Black Canyon Consulting is seeking a Staff Scientist to work with a Principal ... NIH Roadmap Epigenomics * UCSC Genome Database * Apply AI methodologies to functionally annotate ...

The University of Chicago

Staff Scientist

Chicago, IL · On-site

The Research Staff Scientist will play a central role in analytic leadership, project coordination, and scientific development across multiple funded studies, including NIH-funded studies involving ...

Axle

Staff Scientist - Genomics

Hamilton, MT · On-site

Transportation Reimbursement Account (TRN) Position Summary The Staff Scientist (Genomics) provides ... Follows all biosafety, chemical safety, and data security policies and completes required HHS/NIH ...

Loyola University Chicago

Staff Scientist

Chicago, IL · On-site

Position Details Position Details Job Title STAFF SCIENTIST Position Number 8150549 Work Modality ... Salary is commensurate with experience, at the NIH Scale. Our Laboratory is within the new, state ...

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Nih Staff Scientist information

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$85.5K

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How much do nih staff scientist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for nih staff scientist in the United States is $85,539.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $111,500.00 per year, depending on experience, location, and employer.

What is an NIH Staff Scientist?

A NIH Staff Scientist is a non-tenure track research position at the National Institutes of Health (NIH). Staff Scientists support principal investigators by designing and conducting experiments, analyzing data, and contributing to publications. They play a critical role in maintaining research continuity and mentoring junior scientists. This position offers stability and career growth opportunities within the NIH research environment.

What is the typical work environment like for an NIH Staff Scientist, and how do they interact with other members of the research team?

As an NIH Staff Scientist, you will typically work in a dynamic, collaborative research environment within a laboratory or research institute setting. You’ll regularly interact with principal investigators, postdoctoral fellows, technicians, and administrative staff to design experiments, analyze results, and contribute to scientific publications. Staff Scientists often play a leadership role in managing daily laboratory operations and mentoring junior team members, fostering a team-oriented atmosphere. This collaborative approach is essential for advancing complex biomedical research projects and meeting the high standards of the NIH.

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

To excel as an NIH Staff Scientist, you need a Ph.D. or equivalent doctoral degree in a relevant scientific field, strong research experience, and a robust publication record. Expertise in laboratory techniques, data analysis software (such as R, Python, or specialized bioinformatics tools), and knowledge of federal research compliance standards are highly valued. Exceptional problem-solving, collaboration, and communication skills distinguish top candidates, as does the ability to mentor junior scientists and manage projects. These skills are crucial for driving impactful research, maintaining rigorous scientific standards, and fostering innovation within multidisciplinary teams.

Is a Nih Staff Scientist a good job?

A NIH Staff Scientist is a reputable research position that offers stability, competitive benefits, and opportunities for scientific contribution. It typically requires advanced degrees and research experience, with a focus on biomedical or health-related fields, and may involve collaboration with multidisciplinary teams. The role is considered a valuable career path for those pursuing scientific research and public health impact.

Is a Nih Staff Scientist a permanent position?

A NIH Staff Scientist position is typically considered a permanent or long-term employment role, often with federal benefits and job stability. However, some positions may be contingent on funding and project needs, so it is advisable to review specific job postings for details.
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Nih Staff Scientist jobs near you
Infographic showing various Nih Staff Scientist job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 16% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $85,539 per year, or $41.1 per hour.

Staff Scientist

BCC-NIH

Bethesda, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

Overview

Black Canyon Consulting is seeking a Staff Scientist to work with a Principal Investigatory in the National Institutes of Health at the National Library of Medicine to support the development of high-fidelity artificial intelligence models designed to decode the functional landscape of the human and mouse genomes. This effort will leverage Telomere-to-Telomere (T2T) reference assemblies to advance understanding of gene regulation, particularly within complex and repetitive genomic regions.

This position requires a unique combination of computational genomics expertise, machine learning proficiency, and scalable software engineering capabilities to support large-scale data integration and model development.

Responsibilities
  • Lead the design, development, and implementation of AI-driven models for gene regulation analysis
  • Architect and scale a TREDNet-based framework for cloud-native execution
  • Optimize models for distributed, multi-GPU training environments
  • Integrate and analyze large-scale genomic and epigenomic datasets, including:
    • ENCODE / modENCODE
    • NIH Roadmap Epigenomics
    • UCSC Genome Database
  • Apply AI methodologies to functionally annotate repetitive genomic regions, including centromeres and telomeres
  • Develop and maintain scalable, containerized pipelines using Docker and/or Singularity
  • Implement MLOps best practices, including experiment tracking, model versioning, and reproducibility
  • Deploy and manage workflows in cloud environments (AWS, GCP, or Azure)
  • Collaborate with interdisciplinary teams across computational and life sciences domains
Required Qualifications
  • PhD in Computer Science, Computational Biology, Bioinformatics, or a related field
  • Minimum of 5 years of experience developing and deploying machine learning or deep learning models
  • Strong experience with cloud platforms (AWS, GCP, or Azure)
  • Proficiency in deep learning frameworks (PyTorch preferred; TensorFlow or HuggingFace acceptable)
  • Deep understanding of neural network architectures (CNNs, transformers, sequence models)
  • Strong programming skills in Python and experience working in Linux-based environments
  • Experience with MLOps practices, including experiment tracking and model versioning
  • Experience building and deploying containerized workflows (Docker and/or Singularity)
  • Experience with distributed training across GPUs or multi-node environments
  • Strong knowledge of genomics, gene regulation, and epigenomics
  • Experience working with large-scale biological datasets (e.g., ENCODE, Roadmap Epigenomics, UCSC Genome Browser)
  • Familiarity with genomics data formats (FASTA, VCF, BAM/CRAM, BED)
Preferred Qualifications
  • Experience with Telomere-to-Telomere (T2T) genome assemblies
  • Experience analyzing repetitive genomic regions (e.g., centromeres, telomeres)
  • Background in regulatory, functional, or comparative genomics (e.g., human vs. mouse)
  • Experience with hyperparameter tuning and large-scale model optimization
  • Familiarity with genomic foundation models or sequence-based deep learning approaches
  • Experience running ML workloads on GPU-enabled cloud or HPC environments
  • Familiarity with workflow orchestration tools (e.g., Nextflow, Snakemake, Airflow)
  • Experience transitioning research models into production-grade pipelines
  • Familiarity with CI/CD and infrastructure-as-code tools (e.g., Terraform)
  • Experience working in interdisciplinary teams
Deliverables
  • Develop a containerized (Docker/Singularity) TREDNet pipeline capable of scaling across multiple GPU nodes in a cloud environment
  • Produce a comprehensive functional map of the T2T reference genome, identifying regulatory motifs in previously unresolved regions
  • Develop comparative models between human and mouse cell lines to identify conserved regulatory mechanisms
Benefits and Salary

We attract the best people in the business with our competitive benefits package, including medical, dental, and vision coverage; a 401(k) plan with employer contribution; paid holidays, vacation, and tuition reimbursement.

We offer a competitive salary commensurate with experience and location. The targeted range for this position is $110,000 - $140,000.

If you enjoy being part of a high-performing, professional, technology-focused organization, please apply today!

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