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Bioinformatics Associate Jobs in Olney, MD (NOW HIRING)

Axle

Associate Director of AI and Data

Rockville, MD · On-site

$60K - $60K/yr

They are seeking a visionary Associate Director of Artificial Intelligence, Modeling, and Data to ... D. in Computer Science, Bioinformatics, Computational Biology, Data Science, or a related ...

Axle

Associate Director of AI and Data

Rockville, MD · On-site

They are seeking an Associate Director of Artificial Intelligence, Modeling, and Data to lead the ... D. in Computer Science, Bioinformatics, Computational Biology, Data Science, or a related ...

Qiagen

Senior Scientific Expert IVD

Germantown, MD

$82K - $137K/yr

Familiarity with bioinformatics tools * Provide recommendations for innovative technologies and platforms to support QuantiFERON product portfolio * Provide technical expertise as part of discussions ...

All JobsBioinformatics Associate JobsBioinformatics Associate Jobs in Olney, MD

Bioinformatics Associate information

See Olney, MD salary details

$50.2K

$208.3K

$409.4K

How much do bioinformatics associate jobs pay per year?

As of Aug 5, 2026, the average yearly pay for bioinformatics associate in Olney, MD is $208,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,300.00 and $409,400.00 per year, depending on experience, location, and employer.

What does a Bioinformatics Associate do?

The role of a bioinformatics associate is to perform detailed data analysis in a biology or life sciences research lab. An associate is a staff scientist or researcher, and they have significant responsibilities within the lab structure. They are responsible for conducting information support using primary research as well as developing models using a data algorithm or other analytical tools. A bioinformatics associate uses these to analyze the information and data sets collected in the lab. They may also develop a storage and archiving system so that other researchers can access data sets. Qualifications to become a bioinformatics associate typically include a master’s degree or Ph.D.

What does a Bioinformatics Associate do?

A Bioinformatics Associate is responsible for analyzing and interpreting complex biological data, often using computational tools and software. They work closely with scientists to manage and process large datasets, such as genomic sequences or protein structures. Their tasks may include developing workflows, running bioinformatics pipelines, and helping to visualize and present results. Typically, they support research projects in fields like genomics, molecular biology, and drug development. Bioinformatics Associates play a key role in translating raw biological data into actionable scientific insights.

How does a Bioinformatics Associate typically collaborate with laboratory scientists and data analysts on research projects?

Bioinformatics Associates often serve as a bridge between laboratory scientists and data analysts, translating experimental requirements into computational workflows and helping to interpret complex biological data. They regularly meet with lab teams to discuss project goals, data quality, and analysis strategies, ensuring that bioinformatics approaches align with experimental designs. Collaboration is highly iterative, involving feedback loops to refine analyses based on preliminary findings and to troubleshoot data issues, which helps drive research projects forward efficiently and accurately.

What are the key skills and qualifications needed to thrive as a Bioinformatics Associate?

A Bioinformatics Associate requires a strong background in biology, computer science, and statistics, typically supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools such as BLAST, Python, R, and experience with genomic databases are commonly expected, along with knowledge of data visualization platforms. Critical thinking, attention to detail, and effective communication help professionals interpret complex data and collaborate with scientific teams. These skills ensure accurate analysis, meaningful insights, and successful contributions to research projects in a rapidly evolving field.
More about Bioinformatics Associate jobs
What cities near Olney, MD are hiring for Bioinformatics Associate jobs? Cities near Olney, MD with the most Bioinformatics Associate job openings:
Bioinformatics Associate jobs near you
Infographic showing various Bioinformatics Associate job openings in Olney, MD as of July 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $208,252 per year, or $100.1 per hour.

Associate Director, Digital Proteomics and AI Innovation

AstraZeneca

Gaithersburg, MD • On-site

Full-time

Posted 27 days ago

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

21st of 86 rated pharmaceutical

Job description

Make a meaningful impactonpatients' lives around theworld

At AstraZeneca, we are combiningcutting-edgescience,dataand 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,immunopeptidomicsand 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 proteomicsexpertisewith the practical engineering judgement needed to design,deployand scale AI systems that scientific usersactually relyon.

Whatyou'lldo

As Associate Director, Digital Proteomics and AI Innovation within CGR, you will:

  • Identifyhigh-value workflow opportunitieswhere agentic AI can transform how proteomic,peptidomicand multi-omicdata are explored, integrated,interpretedand automated.

  • Design, build, deploy and iterateAI-enabled systems - including agentic workflows - that are usable,maintainableand integrated into real scientific practice.

  • Bring deep domainexpertisein mass spectrometry, proteomics andpeptidomicsto shape data standards, analyticalapproachesand biological interpretation, withparticular relevancetoimmunopeptidomicsand neoantigen-centric workflows.

  • Drive integrative analysisacross proteomics,peptidomics, sequencing,transcriptomicsand experimental metadata to generate translational insight.

  • Partner withinformaticians,data andmass spectrometry scientistswithin CGR, and collaborate closely with scientific stakeholders in AstraZeneca Infectious Disease and Oncology, to embed AI capabilities into scalable, governed analytical environments.

  • Contribute technicalexpertiseto 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, computerscienceor a related discipline.

  • Deepexpertisein mass spectrometry-based proteomics andpeptidomics, including a working understanding of experimental design, data characteristics,limitationsand interpretation challenges.

  • Strong hands-on data science and software delivery experience, witha track recordof building,deployingandmaintaininganalytical or AI-enabled systems used by scientific teams.

  • Demonstrated experience developing agentic AI workflows or advanced AI systems for scientific data exploration,interpretationor workflow automation.

  • Proven ability to integrate and analyse multidimensional datasets spanning proteomics,peptidomics, sequencing,transcriptomicsand associated metadata to generate biological insight.

  • Ability tooperateas an independent, hands-on technical contributor - combining scientific judgement with pragmatic engineering and delivery.

  • Excellent communication and collaboration skills, witha track recordof 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,immunopeptidomicsor neoantigen discovery.

  • Experience designing data foundations, ontologies, harmonised analyticalenvironmentsor reusable AI capabilities for large-scale scientific research.

  • Experience extending acrossadditionalomics modalities in partnership with domain specialists.

  • Track recordof innovationevidencedthrough deployed tools, software products, open-source contributions, peer-reviewedpublicationsor conference presentations in proteomics,peptidomics, AI or data science.

How we do it

At AstraZeneca,we'rededicated to being a Great Place to Work, where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit.There'sno 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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