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Genomics Jobs in Reston, VA (NOW HIRING)

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

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

Analyze genomic, sequencing, and other biological datasets to identify microbial characteristics, genetic variants, mutations, and potential biological hazards. * Execute, maintain, and optimize ...

As a postdoctoral researcher in genomics and quantum biology, your responsibilities will include : * Designing studies, conducting genomic sequencing (including whole genome sequencing, Sanger ...

S. biotechnologies and bio-pharmaceutical supply chains by denying adversaries access to genomic data, biotechnology intellectual property, and manufacturing capacity This portfolio supports partner ...

Data (Genomic Data) Security & Biotechnology Security * Protecting sensitive genomic sequencing data and bioinformatics pipelines. * Secure collaboration practices for genomic and synthetic biology ...

Showing results 21-40

Genomics information

What is a genomics job?

A genomics job involves studying an organism's entire genetic makeup to understand gene functions, interactions, and variations. Professionals in this field work in research, healthcare, pharmaceuticals, or biotechnology, using advanced tools like sequencing technologies and bioinformatics. Their work can help in disease research, precision medicine, agriculture, and evolutionary biology. Common roles include genomic scientists, bioinformaticians, and clinical geneticists.

What are typical daily responsibilities for someone working in genomics?

Professionals in Genomics typically spend their days designing experiments, preparing and processing biological samples, and conducting analyses using high-throughput sequencing technologies. They also interpret large datasets using specialized bioinformatics tools, prepare reports or present findings to stakeholders, and collaborate with other scientists such as clinicians, computational biologists, or data analysts. The work environment can be a mix of laboratory work and computational data analysis, depending on the specific position. Regular team meetings and collaboration are common, especially in research or clinical settings where interdisciplinary problem-solving is essential.

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

To thrive in a Genomics role, you need a strong background in molecular biology, genetics, and bioinformatics, typically supported by an advanced degree in a life science and relevant laboratory experience. Proficiency with genomic sequencing platforms (such as Illumina or Oxford Nanopore), data analysis software, and experience with databases like NCBI or Ensembl are commonly required. Critical thinking, attention to detail, and collaborative communication are essential soft skills for interpreting complex data and working within multidisciplinary teams. These competencies are important for ensuring accurate genetic analysis, driving research projects, and making meaningful scientific contributions.

Does genomics pay well?

Genomics professionals, such as genomic scientists and bioinformaticians, typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start around $50,000 to $70,000 annually, while experienced specialists can earn over $100,000, especially with advanced skills in data analysis and laboratory techniques.

Is genomics a good career?

Genomics is a growing field that involves studying an organism's complete set of DNA. Careers in genomics often require strong skills in molecular biology, bioinformatics, and laboratory techniques, with opportunities in research, healthcare, and biotechnology sectors. The field offers competitive salaries and demand for skilled professionals is expected to increase with advances in personalized medicine and genetic research.

What jobs can you get with a genomics degree?

A genomics degree can lead to roles such as genomic researcher, bioinformatics analyst, laboratory technician, or clinical geneticist. These jobs often require skills in molecular biology, data analysis, and familiarity with sequencing technologies and software tools.

What skills do you need for genomics?

Genomics professionals need strong skills in molecular biology, genetics, and bioinformatics, including proficiency with data analysis tools and programming languages like Python or R. Attention to detail, problem-solving abilities, and knowledge of laboratory techniques are also essential for success in the field.

What are popular job titles related to Genomics jobs in Reston, VA?

For Genomics jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Genomics jobs in Reston, VA look for?

The top searched job categories for Genomics jobs in Reston, VA are:

What cities near Reston, VA are hiring for Genomics jobs?

Cities near Reston, VA with the most Genomics job openings:

Infographic showing various Genomics job openings in Reston, VA as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

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!