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Bioinformatics Jobs in Silver Spring, MD (NOW HIRING)

Overview Black Canyon Consulting (BCC) is searching for a Software Developer in Bioinformatics and Big Data to support our work at the National Institutes of Health. This opportunity is full time and ...

Responsible for the development, implementation, testing, and continued maintenance of NCBI bioinformatics software and information retrieval systems * Work with a diverse group of scientists ...

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Application's (ORIVA) research validation and application ...

Responsible for the development, implementation, testing, and continued maintenance of NCBI bioinformatics software and information retrieval systems * Work with a diverse group of scientists ...

Analysis of nucleic acid and protein biophysics, computational biology models, information-theoretic measures of network connectivity, computational bioinformatics models, and neurobiological systems ...

Bioinformatics Workflow and Data Pipeline Development: Design, build, and maintain reproducible pipelines for diverse biomedical data types -- including genomic, transcriptomic, single-cell, spatial ...

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Bioinformatics information

See Silver Spring, MD salary details

$61.3K

$97.4K

$154.1K

How much do bioinformatics jobs pay per year?

As of Jul 15, 2026, the average yearly pay for bioinformatics in Silver Spring, MD is $97,367.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,600.00 and $133,500.00 per year, depending on experience, location, and employer.

What are typical day-to-day responsibilities for someone working in bioinformatics?

A typical day in bioinformatics often involves analyzing large biological datasets, such as genomic or proteomic sequences, using specialized software and programming languages. You might spend time developing or modifying algorithms, visualizing complex data, and applying statistical methods to interpret research findings. Collaborating closely with biologists, data scientists, and clinicians is common to ensure that computational results are aligned with biological questions. Bioinformatics professionals are also expected to document their work, present findings, and stay updated with new tools and advances in the field, making for a dynamic and engaging work environment.

What is a Bioinformatics job?

A Bioinformatics job involves using computational tools and techniques to analyze biological data, such as genomic sequences, protein structures, and clinical information. Professionals in this field work at the intersection of biology, computer science, and statistics to develop algorithms, databases, and software for processing large-scale biological data. Bioinformaticians are employed in academia, pharmaceutical companies, healthcare, and biotechnology sectors to assist with research, drug discovery, and personalized medicine. Key skills include programming, data analysis, and a strong understanding of molecular biology.

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

To thrive in bioinformatics, you need expertise in biological sciences, strong programming skills (such as Python, R, or Perl), and a solid understanding of statistics, typically supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with bioinformatics databases, software tools (like BLAST, Bioconductor, or Galaxy), and experience with next-generation sequencing data analysis are highly valued. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating in interdisciplinary research environments. These skills are crucial for accurately interpreting complex biological data, developing useful computational solutions, and successfully contributing to scientific advancements.

What are the most commonly searched types of Bioinformatics jobs in Silver Spring, MD? The most popular types of Bioinformatics jobs in Silver Spring, MD are:
What are popular job titles related to Bioinformatics jobs in Silver Spring, MD? For Bioinformatics jobs in Silver Spring, MD, the most frequently searched job titles are:
What cities near Silver Spring, MD are hiring for Bioinformatics jobs? Cities near Silver Spring, MD with the most Bioinformatics job openings:
Infographic showing various Bioinformatics job openings in Silver Spring, MD as of July 2026, with employment types broken down into 78% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $97,367 per year, or $46.8 per hour.
Associate Director, Digital Proteomics and AI Innovation

Associate Director, Digital Proteomics and AI Innovation

AstraZeneca

Gaithersburg, MD • On-site

Full-time

Posted 6 days ago


AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

18th of 74 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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