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Proteomics Jobs in Reston, VA (NOW HIRING)

Senior Product Manager, Proteomics

Rockville, MD ยท On-site

$128K - $170K/yr

Define product positioning, pricing, and differentiation within the multiplexed immunoassay and proteomics market. * Support marketing collateral and training materials to support product launches;

Research Scientist

Washington, DC ยท On-site

$65K - $75K/yr

Under the supervision of the RCMI Proteomics Core Director, formally plans, executes the designated project (s) in the laboratory. Typically responsible for performing non-supervisory duties, but ...

Design, build, and maintain reproducible pipelines for diverse biomedical data types -- including genomic, transcriptomic, single-cell, spatial, proteomic, metagenomic, metabolomic, and clinical ...

Account Manager II

Washington, DC ยท On-site

$86K - $119K/yr

Develop and execute a strategic territory plan to drive adoption of Bio-Rad's Genomics and Proteomics solutions including ddPCR, qPCR, Imaging, Western Blot and Chromatography workflows to achieve or ...

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Proteomics information

See Reston, VA salary details

$64.5K

$97.8K

$124.8K

How much do proteomics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for proteomics in Reston, VA is $97,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $112,900.00 per year, depending on experience, location, and employer.

What is proteomics?

A Proteomics job involves studying the structure, function, and interactions of proteins within a biological system. Professionals in this field use techniques like mass spectrometry and bioinformatics to analyze protein expression, modifications, and pathways. They work in industries such as pharmaceuticals, biotechnology, and academic research to develop new therapies, diagnostics, and understand disease mechanisms.

What does a proteomics professional do?

In a Proteomics role, daily responsibilities typically include preparing biological samples, running and troubleshooting mass spectrometry or chromatography instruments, and analyzing complex protein data using specialized software. You may also be involved in designing experiments, maintaining accurate records, and interpreting results to support research projects or development goals. Collaboration with scientists from other disciplines, such as genomics or bioinformatics, is common to integrate proteomics data into broader studies. This dynamic environment allows you to develop technical expertise while contributing to innovative biological discoveries.

What skills and qualifications are needed for proteomics?

To thrive as a Proteomics specialist, you need a strong background in biochemistry, molecular biology, and analytical chemistry, often supported by an advanced degree (MSc or PhD) in a life sciences field. Familiarity with mass spectrometry, liquid chromatography, proteomics data analysis software, and relevant certifications such as GLP or GMP can be crucial. Attention to detail, problem-solving ability, and effective teamwork are standout soft skills for this role. These competencies enable accurate data generation, successful collaboration on research projects, and ensure compliance with industry standards.

What are the most commonly searched types of Proteomics jobs in Reston, VA?

The most popular types of Proteomics jobs in Reston, VA are:

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

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

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

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

Infographic showing various Proteomics job openings in Reston, VA as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $97,831 per year, or $47 per hour.

Associate Director - Digital Proteomics and AI Innovation

AstraZeneca GmbH

Gaithersburg, MD โ€ข On-site

$140 - $200/hr

Other

Posted 18 days ago


Key responsibilities

  • Identify high-value workflow opportunities where agentic AI can transform data exploration, integration, interpretation, and automation.

  • Design, build, deploy, and iterate AI-enabled systems and workflows that are usable, maintainable, and integrated into scientific practice.

  • Partner with scientific stakeholders and informaticians to embed AI capabilities into scalable, governed analytical environments.


Job description

Make a meaningful impactonpatientsโ€™ lives around theworld

At AstraZeneca, we are combining cutting edge science, data and artificial intelligence to transform how we discover and develop medicines. This role sits within the Centre for Genomics Research (CGR) and works in close collaboration with AstraZeneca Infectious Disease and Oncology, offering a unique opportunity to shape new digital and AI capabilities for the cancer vaccine space.

Based in CGR, you will sit at the intersection of mass spectrometry-based proteomics, immunopeptidomics and agentic AI โ€” building the data foundations and intelligent systems that allow scientists to explore high-throughput proteomics, HLA-peptidomics, neoantigen discovery, genetic sequencing, transcriptomics and emerging molecular assays as a connected whole. This is a handsโ€‘on technical role for someone who can combine deep proteomics expertise with the practical engineering judgement needed to design, deploy and scale AI systems that scientific users actually rely on.

What youโ€™ll do
  • Identify high-value workflow opportunities where agentic AI can transform how proteomic, peptidomic and multi-omic data are explored, integrated, interpreted and automated.
  • Design, build, deploy and iterate AI-enabled systems โ€” including agentic workflows โ€” that are usable, maintainable and integrated into real scientific practice.
  • Bring deep domain expertise in mass spectrometry, proteomics and peptidomics to shape data standards, analytical approaches and biological interpretation, with particular relevance to immunopeptidomics and neoantigenโ€‘centric workflows.
  • Drive integrative analysis across proteomics, peptidomics, sequencing, transcriptomics and experimental metadata to generate translational insight.
  • Partner within informaticians, data and mass spectrometry scientists within CGR, and collaborate closely with scientific stakeholders in AstraZeneca Infectious Disease and Oncology, to embed AI capabilities into scalable, governed analytical environments.
  • Contribute technical expertise to scientific discussions, sharing knowledge with colleagues and engaging with internal and external scientific communities.
Essential criteria
  • Advanced degree (PhD or equivalent experience) in proteomics, computational biology, bioinformatics, data science, biostatistics, computer science or a related discipline.
  • Deep expertise in mass spectrometry-based proteomics and peptidomics, including a working understanding of experimental design, data characteristics, limitations and interpretation challenges.
  • Strong handsโ€‘on data science and software delivery experience, with a track record of building, deploying and maintaining analytical or AIโ€‘enabled systems used by scientific teams.
  • Demonstrated experience developing agentic AI workflows or advanced AI systems for scientific data exploration, interpretation or workflow automation.
  • Proven ability to integrate and analyse multidimensional datasets spanning proteomics, peptidomics, sequencing, transcriptomics and associated metadata to generate biological insight.
  • Ability to operate as an independent, handsโ€‘on technical contributor โ€” combining scientific judgement with pragmatic engineering and delivery.
  • Excellent communication and collaboration skills, with a track record of translating complex scientific and technical concepts into solutions that scientific and technical users adopt.
Desirable criteria
  • Experience applying digital proteomics and AI-enabled approaches in oncology, immunology, cancer vaccines, immunopeptidomics or neoantigen discovery.
  • Experience designing data foundations, ontologies, harmonised analytical environments or reusable AI capabilities for large-scale scientific research.
  • Experience extending across additional omics modalities in partnership with domain specialists.
  • Track record of innovation evidenced through deployed tools, software products, open-source contributions, peerโ€‘reviewed publications or conference presentations in proteomics, peptidomics, AI or data science.
How we do it

At AstraZeneca, weโ€™re dedicated to being a Great Place to Work, where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. Thereโ€™s no better place to make a difference in medicine, patients, and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth, and development.

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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