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Proteomics Jobs in Silver Spring, MD (NOW HIRING)

MSD

Senior Product Manager, Proteomics

Rockville, MD · 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;

Axle

Data Scientist II

Rockville, MD · On-site

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

Axle

Data Scientist II

Rockville, MD

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

Axle

Data Scientist II

Rockville, MD · On-site

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

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All JobsProteomics JobsProteomics Jobs in Silver Spring, MD

Proteomics information

See Silver Spring, MD salary details

$64.1K

$97.2K

$124.1K

How much do proteomics jobs pay per year?

As of Jul 28, 2026, the average yearly pay for proteomics in Silver Spring, MD is $97,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,300.00 and $112,200.00 per year, depending on experience, location, and employer.

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

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 some common day-to-day responsibilities for someone working in a Proteomics role?

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 is a Proteomics job?

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 are the most commonly searched types of Proteomics jobs in Silver Spring, MD? The most popular types of Proteomics jobs in Silver Spring, MD are:
What job categories do people searching Proteomics jobs in Silver Spring, MD look for? The top searched job categories for Proteomics jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Proteomics jobs? Cities near Silver Spring, MD with the most Proteomics job openings:
Proteomics jobs near you
Infographic showing various Proteomics job openings in Silver Spring, MD as of July 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $97,212 per year, or $46.7 per hour.
Associate Director, Digital Proteomics and AI Innovation

Associate Director, Digital Proteomics and AI Innovation

AstraZeneca

Gaithersburg, MD • On-site

Full-time

Posted 19 days ago

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

19th of 86 rated pharmaceutical

Job description

Make a meaningful impact on patients' lives around the world
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 - 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 hands-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 you'll do
As Associate Director, Digital Proteomics and AI Innovation within CGR, you will:
  • 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 - including agentic workflows - 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 neoantigen-centric workflows.

  • Drive integrative analysis across proteomics, peptidomics, sequencing, transcriptomics and experimental metadata to generate translational insight.

  • Partner with 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 hands-on data science and software delivery experience, with a track record of building, deploying and maintaining analytical or AI-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, hands-on technical contributor - 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, peer-reviewed publications or conference presentations in proteomics, peptidomics, AI or data science.

How we do it
At AstraZeneca, we're dedicated to being a Great Place to Work, where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There'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.
Date Posted
09-Jul-2026
Closing Date
30-Jul-2026
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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