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Bioinformatics Associate Jobs in Washington (NOW HIRING)

Sequencing and Bioinformatics The SPARC (Student Partnership and Research Collaboration) Program is a partnership with Universities at Shady Grove. The program is designed for rising 3rd and 4th year ...

Sequencing and Bioinformatics The SPARC (Student Partnership and Research Collaboration) Program is a partnership with Universities at Shady Grove. The program is designed for rising 3rd and 4th year ...

... and associates to help our customers evaluate, collaborate, innovate, and create business ... Computational Biology, Bioinformatics, Biology, or related discipline. Minimum 3-5 years of ...

... and associates to help our customers evaluate, collaborate, innovate, and create business ... Biology, Bioinformatics, Biology, or related discipline. · Minimum 3-5 years of relevant ...

... and associates to help our customers evaluate, collaborate, innovate, and create business ... Biology, Bioinformatics, Biology, or related discipline. • Minimum 3-5 years of relevant ...

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

Bioinformatics Associate information

See Washington salary details

$55.5K

$230.4K

$453K

How much do bioinformatics associate jobs pay per year?

As of Jul 7, 2026, the average yearly pay for bioinformatics associate in Washington is $230,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,900.00 and $453,000.00 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, and why are they important?

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.
What are the most commonly searched types of Bioinformatics jobs in Washington? The most popular types of Bioinformatics jobs in Washington are:
What are popular job titles related to Bioinformatics Associate jobs in Washington? For Bioinformatics Associate jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Bioinformatics Associate jobs? Cities in Washington with the most Bioinformatics Associate job openings:
Associate Director, Data Enablement

Associate Director, Data Enablement

AstraZeneca

Gaithersburg, MD

$121K - $182K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

16th of 73 rated pharmaceutical


Job description

The Oncology Data Science - Data, Analytics, and AI Platforms (ODSP) team comprises multiple groups across the Cambridge UK, Boston MA, Gaithersburg MD, and Munich DE sites. ODSP develops technology, software, and data infrastructure to advance our Oncology data science. Our vision is to evolve data science into a driver of innovation within Oncology. We do this by creating a strategic culture that values our data as a true business asset, organizing our data so that it's accessible and easy to find, integrated, and re-usable for Humans & AI, and building the best computational tools to support scientific decision making.

As a data product lead,you'lllead and drive the development of multi-omics data products which will serve as data foundation across our portfolio and will be used to influence portfolio and investment decisions. Working hand in hand with our data product consumers (data scientists, ML experts) and data producers,you'llhelp to shape data product strategy and priorities based on business value and user need.You'llwork closely together with software engineering teams to find novel ways to consume data through our tools and systems andyou'llbe the go-to person when it comes to questions and trainings on your data product and its consumption.You will report to the Director, Data Products, Ops & Governance and may be based in Gaithersburg, MD or Waltham, MA.

Responsibilities:
  • Develop the strategy for and build multi-omics data products/ data atlases in a FAIR way which supports AZ cross-project delivery

  • Plan and drive data curation-, integration, -management and operation efforts (coordination between scientists, engineers); conduct data quality control and normalization where needed

  • Lead small cross-functional teams and ensure successful product delivery

  • Work together with data engineers to automate data operations as much as possible

  • Quantitativelyobserveand control product usage, to quickly understand gaps and issues

  • Coordinate and streamline data transfer,exchangeand integration activities with our vendor network

  • Work with data product consumers (bioinformaticians, data scientists, scientists) to understand requirements, develop best practices in data wrangling/curation and storage of RWE data, and gather feedback

  • Develop documentation and training material

  • Identifyopportunities for training/ education and drive/ support development of training and communication material

Essential requirements
  • Master's degree in biology, bioinformatics, datascienceor related field; PhD preferred

  • At least 3 years Bioinformatics or relatedexperience

  • 3 years' experience indata science/management and or data centric project/alliance management and integration with data entity focus genomics, transcriptomics, proteomics

  • Understanding of the FAIR data principles and how to translate and implement requirements into a typical data flow

  • Great communicationand organization skills as well as stakeholder mgmt. experience

  • Experienced working within cross-functional teams, including business data owners/stewards and technical product developmentstaff

Desirable requirements

  • Experience with multimodal healthcare data

  • Experience with tools like JIRA, Confluence

The annual base pay for this position ranges from $121K to $182K. Our positions offer eligibility for various incentives-an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.

Date Posted

01-Jul-2026

Closing Date

14-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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