ZipRecruiter

Log In

1

Functional Genomics Jobs in Washington (NOW HIRING)

BCC-NIH

Staff Scientist

Bethesda, MD · On-site

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 ...

BCC-NIH

Staff Scientist

Bethesda, MD

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 ...

Black Canyon Consulting

Project Manager

Bethesda, MD · On-site

... genomic data. * Participate in and provide technical and administrative expertise to software ... Coordinates cross-functional teams of various sizes with diverse technical skills sets. * Advises ...

Black Canyon Consulting

Project Manager

Bethesda, MD · On-site

... genomic data. * Participate in and provide technical and administrative expertise to software ... Coordinates cross-functional teams of various sizes with diverse technical skills sets. * Advises ...

Black Canyon Consulting

Project Manager

Bethesda, MD · On-site +1

... genomic data. * Participate in and provide technical and administrative expertise to software ... Coordinates cross-functional teams of various sizes with diverse technical skills sets. * Advises ...

Black Canyon Consulting

Project Manager

Bethesda, MD · On-site

... genomic data. * Participate in and provide technical and administrative expertise to software ... Coordinates cross-functional teams of various sizes with diverse technical skills sets. * Advises ...

next page

Showing results 1-20

All JobsFunctional Genomics JobsFunctional Genomics Jobs in Washington

Functional Genomics information

See Washington salary details

$51K

$93.2K

$146.7K

How much do functional genomics jobs pay per year?

As of Jul 5, 2026, the average yearly pay for functional genomics in Washington is $93,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,600.00 and $106,500.00 per year, depending on experience, location, and employer.

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

To excel in functional genomics, a strong background in molecular biology, genetics, bioinformatics, and often a relevant advanced degree (such as a Ph.D. or M.S.) is required. Expertise in using high-throughput sequencing technologies, data analysis platforms like R/BioConductor, and familiarity with laboratory automation tools are highly valued. Excellent problem-solving, critical thinking, teamwork, and communication skills set top candidates apart in this field. These capabilities are crucial for designing experiments, analyzing complex datasets, and collaborating effectively on multidisciplinary research projects.

What is a Functional Genomics job?

A Functional Genomics job involves studying how genes and their interactions influence biological functions, often using high-throughput technologies like RNA sequencing and CRISPR screening. Professionals in this field analyze large genomic datasets to understand gene expression, regulation, and their role in health and disease. They work in academia, biotechnology, or pharmaceutical industries, contributing to drug discovery, personalized medicine, and agricultural advancements. This role requires expertise in molecular biology, bioinformatics, and computational analysis to interpret complex genomic data.

What are the typical daily responsibilities of someone working in functional genomics?

Professionals in functional genomics typically spend their days designing and conducting experiments to investigate gene function, analyzing large genomic datasets using bioinformatics tools, and interpreting results to advance biological understanding. Their work often involves both hands-on laboratory work and computational analysis, requiring close collaboration with research scientists, lab technicians, and data analysts. You may also participate in team meetings to discuss findings, contribute to scientific publications, and stay updated on the latest technologies in the field. This dynamic environment ensures that no two days are exactly alike and provides ongoing opportunities to develop both scientific expertise and technical skills.

What are popular job titles related to Functional Genomics jobs in Washington? For Functional Genomics jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Functional Genomics jobs in Washington look for? The top searched job categories for Functional Genomics jobs in Washington are:
What cities in Washington are hiring for Functional Genomics jobs? Cities in Washington with the most Functional Genomics job openings:
Functional Genomics jobs near you

Staff Scientist

BCC-NIH

Bethesda, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 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!

Apply