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Associate Bioinformatics Scientist Jobs in Silver Spring, MD

Umd

Post Doctoral Associate

College Park, MD · On-site

$60K - $75K/yr

PhD in biology, bioinformatics, computer science, or a related field within the past 5 years (or expected before starting the position) Experience with 3D image data, segmentation, and/or comparative ...

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All JobsAssociate Bioinformatics Scientist JobsAssociate Bioinformatics Scientist Jobs in Silver Spring, MD

Associate Bioinformatics Scientist information

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$19

$37

$59

How much do associate bioinformatics scientist jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for associate bioinformatics scientist in Silver Spring, MD is $37.14, according to ZipRecruiter salary data. Most workers in this role earn between $28.85 and $42.26 per hour, depending on experience, location, and employer.

What is an associate bioinformatics scientist?

Associate Bioinformatics Scientists are entry- to mid-level professionals who analyze and interpret complex biological data, often using computational tools and techniques. They typically work in research institutions, pharmaceutical companies, or healthcare organizations, supporting projects related to genomics, drug discovery, or personalized medicine. Their responsibilities include managing large datasets, developing bioinformatics pipelines, and collaborating with other scientists to extract meaningful insights from biological data. This role often requires proficiency in programming languages such as Python or R, as well as a strong foundation in biology and statistics. Associate Bioinformatics Scientists play a crucial role in advancing scientific discoveries by bridging the gap between biology and data science.

What skills and qualifications are needed to be an associate bioinformatics scientist?

To thrive as an Associate Bioinformatics Scientist, you need a solid background in molecular biology, statistics, and computer science, usually demonstrated by a degree in bioinformatics or a related field. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (like BLAST, GATK), and knowledge of data visualization platforms are typically required. Strong analytical thinking, effective communication, and problem-solving abilities help you interpret complex data and collaborate with multidisciplinary teams. These skills are crucial for generating meaningful biological insights from large datasets and advancing research projects efficiently.

What challenges do associate bioinformatics scientists face when working on interdisciplinary research teams?

Associate Bioinformatics Scientists often collaborate with biologists, clinicians, and software engineers, which can present challenges in translating complex biological questions into computational analyses. Navigating differing technical languages and aligning on project goals requires strong communication and adaptability. Additionally, managing evolving research priorities and handling large, diverse datasets demand organizational skills and the ability to quickly learn new analytical tools. Building strong relationships with team members helps bridge knowledge gaps and ensures more effective project outcomes.
Associate Bioinformatics Scientist jobs near you
Infographic showing various Associate Bioinformatics Scientist job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $77,247 per year, or $37.1 per hour.

Associate Director - Digital Proteomics and AI Innovation

AstraZeneca GmbH

Gaithersburg, MD • On-site

$140 - $200/hr

Other

Posted 10 days ago

Job description

Make a meaningful impactonpatients’ 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 — 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
  • 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 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 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.

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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