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Computer Science Bioinformatics Jobs in Maryland

N4 Solutions, LLC

Data Scientist

Bethesda, MD

EDUCATION/EXPERIENCE/EXPERTISE REQUIREMENT: · Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Computational Biology, Bioinformatics, Biology, or related discipline. · ...

N4 Solutions

Data Scientist

Bethesda, MD · On-site

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Computational Biology, Bioinformatics, Biology, or related discipline. * Minimum 3-5 years of relevant experience in ...

N4 Solutions, LLC

Data Scientist

Bethesda, MD · On-site

EDUCATION/EXPERIENCE/EXPERTISE REQUIREMENT: • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Computational Biology, Bioinformatics, Biology, or related discipline ...

Loyola

... computer science, and data science students are also especially encouraged. The successful ... D. in bioinformatics or have a Ph.D (or equivalent degree) in a biological field with extensive ...

New

BCC-NIH

Staff Scientist

Bethesda, MD · On-site

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 ...

BCC-NIH

Staff Scientist

Bethesda, MD · On-site

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 ...

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How much do computer science bioinformatics jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for computer science bioinformatics in Maryland is $41.53, according to ZipRecruiter salary data. Most workers in this role earn between $41.30 and $41.78 per hour, depending on experience, location, and employer.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is not expected to fully replace bioinformatics professionals. Bioinformatics jobs require expertise in biology, programming, and data interpretation, which AI cannot fully replicate. Instead, AI serves as a complementary skill for bioinformaticians to improve efficiency and discovery.

How is computer science used in bioinformatics?

In bioinformatics, computer science is used to develop algorithms, software, and databases for analyzing biological data such as DNA, RNA, and protein sequences. Bioinformatics professionals often utilize programming languages like Python or R, and tools like machine learning and data mining to interpret complex biological information efficiently.

What are some typical daily responsibilities for someone working in Computer Science Bioinformatics?

Professionals in Computer Science Bioinformatics typically spend their days designing and implementing algorithms to analyze large-scale biological datasets, developing custom software tools, and interpreting results to support ongoing research. Collaboration with biologists, clinicians, and other computational scientists is common, requiring regular meetings to discuss project goals, troubleshoot issues, and refine data analysis approaches. You may also be expected to keep up with new technologies and scientific literature to ensure your methods remain cutting-edge. The dynamic nature of this field means your tasks can evolve quickly, providing opportunities to tackle novel problems and drive meaningful impact in science and medicine.

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

To thrive in Computer Science Bioinformatics, you need a solid background in computer science, biology, and statistics, often supported by a relevant degree or advanced certification. Proficiency in programming languages such as Python, R, and experience with bioinformatics tools and databases like BLAST, GenBank, and cloud platforms are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for this interdisciplinary field. These skills allow professionals to efficiently analyze complex biological data, collaborate with cross-functional teams, and contribute to critical discoveries in healthcare and biotechnology.

What biology jobs pay over $100k?

In bioinformatics and related biology fields, roles such as senior bioinformatics scientist, computational biologist, and data scientist often have salaries exceeding $100,000 annually. These positions typically require advanced skills in programming, data analysis, and knowledge of biological data, often with a master's or Ph.D. degree. Experience, industry sector, and geographic location can influence salary levels.

What is a Computer Science Bioinformatics job?

A Computer Science Bioinformatics job involves using computational techniques to analyze and interpret biological data, such as DNA sequences, protein structures, and genomic information. Professionals in this field develop algorithms, software tools, and databases to support biological research and medical advancements. They work in areas like genomics, drug discovery, and personalized medicine, often collaborating with biologists, chemists, and healthcare professionals. Strong programming skills, data analysis expertise, and knowledge of biology are essential for success in this field.

What jobs can I get with bioinformatics?

With a background in bioinformatics, common jobs include bioinformatics analyst, computational biologist, research scientist, and data analyst in healthcare, pharmaceuticals, or biotech companies. These roles often require skills in programming, data analysis, and knowledge of biological data, and may involve working with tools like R, Python, or specialized bioinformatics software.
What are the most commonly searched types of Computer Science Bioinformatics jobs in Maryland? The most popular types of Computer Science Bioinformatics jobs in Maryland are:
What are popular job titles related to Computer Science Bioinformatics jobs in Maryland? For Computer Science Bioinformatics jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Computer Science Bioinformatics jobs in Maryland look for? The top searched job categories for Computer Science Bioinformatics jobs in Maryland are:
Computer Science Bioinformatics jobs near you
Associate Director, Digital Proteomics and AI Innovation

Associate Director, Digital Proteomics and AI Innovation

AstraZeneca

Gaithersburg, MD • On-site

Full-time

Posted 11 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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