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Associate Computational Biologist Jobs in Washington

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 ...

Associate Director of AI and Data

Rockville, MD ยท 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 ...

Assistant Professor

Washington, DC ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... or Associate Professor position. The department seeks candidates with research expertise and ... Development of mathematical and computational methods for imaging, neuroscience, endocrinology ...

Post Doc Associate

College Park, MD ยท On-site

$15.50 - $20.75/hr

Ph.D. in computational biology, bioinformatics or a related science field with a strong emphasis on genomic data analysis and data visualization. Physical Demands of the Position: Most of the work ...

Post Doc Associate

College Park, MD ยท On-site

$15.50 - $20.75/hr

Ph.D. in computational biology, bioinformatics or a related science field with a strong emphasis on genomic data analysis and data visualization. Physical Demands of the Position: Most of the work ...

... biology and computer science using large-scale 3D phenotypic data of animals acquired via micro-CT ... Strong computational skills are required as well as the ability to work in a team in a professional ...

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Associate Computational Biologist information

See Washington salary details

$54.9K

$106.5K

$151.2K

How much do associate computational biologist jobs pay per year?

As of Aug 17, 2026, the average yearly pay for associate computational biologist in Washington is $106,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $132,500.00 per year, depending on experience, location, and employer.

What is an associate computational biologist?

An Associate Computational Biologist analyzes biological data using computational techniques to support research in genomics, proteomics, and related fields. They work with large datasets, develop algorithms, and write code to interpret biological information. This role often involves collaborating with biologists, bioinformaticians, and software engineers to derive insights from complex biological systems. Strong skills in programming, statistics, and data analysis are essential.

What are the typical daily responsibilities of an associate computational biologist?

An Associate Computational Biologist typically spends their days analyzing large-scale biological data sets, developing or utilizing computational models, and collaborating closely with lab scientists and senior bioinformaticians. Tasks may include writing scripts to automate data processing, visualizing complex results, and interpreting biological significance in partnership with experimental teams. You may also be responsible for troubleshooting data anomalies, staying current with evolving bioinformatics tools, and participating in team meetings to discuss ongoing research projects. This dynamic work environment requires both independent focus and regular communication with interdisciplinary colleagues.

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

To thrive as an Associate Computational Biologist, you need a strong foundation in biology, statistics, and programming, often demonstrated by a relevant degree in bioinformatics, computational biology, or a related field. Familiarity with tools such as Python, R, data visualization software, and commonly used genomics databases is essential, and experience with high-performance computing environments is a plus. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings effectively with interdisciplinary teams are key soft skills for this role. These competencies enable accurate analytical work, innovative research approaches, and effective collaboration, ensuring success in a fast-paced, research-driven environment.

What are the most commonly searched types of Computational Biologist jobs in Washington?

The most popular types of Computational Biologist jobs in Washington are:

What are popular job titles related to Associate Computational Biologist jobs in Washington?

For Associate Computational Biologist jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Associate Computational Biologist jobs in Washington look for?

The top searched job categories for Associate Computational Biologist jobs in Washington are:

What cities in Washington are hiring for Associate Computational Biologist jobs?

Cities in Washington with the most Associate Computational Biologist job openings:

Infographic showing various Associate Computational Biologist job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 23% Part Time, 3% Temporary, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $106,451 per year, or $51.2 per hour.

Associate Director, Computational Biology

Vhr_unither

Silver Spring, MD โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Job description

California, US residentsclick here.

The job details are as follows:

Who We Are

We are the first publicly-traded biotech or pharmaceutical company to take the form of a public benefit corporation. Our public benefit purpose is to provide a brighter future for patients through the development of novel pharmaceutical therapies; and technologies that expand the availability of transplantable organs.

United Therapeutics (Nasdaq: UTHR) seeks to travel down the corridors of indifference to develop treatments for rare, deadly diseases. We were founded in 1996 by a family seeking a cure for their daughter's pulmonary arterial hypertension (PAH). Today, we have six FDA-approved therapies that treat PAH, pulmonary hypertension associated with interstitial lung disease (PH-ILD) and neuroblastoma, a rare pediatric cancer. Our near-term pipeline seeks to develop additional therapies for PAH and pulmonary fibrosis (PF).

The cure for end-stage life-threatening diseases like PAH, PH-ILD, PF, and many others is an organ transplant, but only a small percentage of donated organs are available to address the vast need. For this reason, we are working to create manufactured organs to address the shortage of kidneys, hearts, lungs, and livers available for transplant. We believe an unlimited supply of tolerable, transplantable organs will eliminate the transplant waiting list and cure end-stage organ diseases for which transplant is not currently an option.
Who You Are

The Computational Lab for In Silico Molecular Biology is building a computational model of the lung to enable in silico design and testing of therapies for lung disease. As part of this effort to develop an integrative multiscale lung model, the Associate Director, Computational Biology will apply various modeling techniques to simulate molecular and cellular processes, focusing on their impact on lung physiology and pharmacology. This role contributes to the development and evolution of computational modeling strategy, ensuring alignment between technical direction, research priorities, and model-informed drug development across programs.

  • Lead teams in strategically planning and implementing mechanistic models of molecular and cellular processes in the lung, including but not limited to regulation of vasoconstriction and bronchoconstriction, response to hypoxia, toxicity to airways/alveoli, and initiation/resolution of inflammation and fibrosis
  • Provide expertise in evaluating innovative approaches for mechanistic modeling, informing technical direction and prioritization for areas such as AI-enabled model development, multiscale coupling, in silico trials, and regenerative medicine
  • Define, evolve, and execute a technical strategy in partnership with other internal subject matter experts to apply model-informed drug development throughout the company
  • Build and manage collaborations with external partners to generate data for model training/validation
  • Coordinate teams of computational biologists and engineers to build HPC workflows for multiscale models that bridge organ physiology with cell- and molecular-level processes
  • Advance company-wide uptake of computational modeling by leading development of simulation tools and interfaces in partnership with leaders in other R&D departments
  • Communicate results through presentations at internal and external meetings, and peer-reviewed publications
  • Direct and manage team to include responsibilities for goal setting, performance reviews/management, coaching, mentoring and career development
  • All other duties as assigned


For this role you will need

Minimum Requirements

  • Doctor of Philosophy (PhD) in engineering, applied mathematics, systems biology, or related field of study
  • 7+ years of related experience including post-doc
  • 3 Years Industry experience
  • Experience leading, developing, and mentoring team members, with demonstrated ability to build capability and support professional growth
  • Experience with common databases and tools relevant to bioinformatics and systems biology
  • Expertise in a variety of modeling formalisms for systems biology (e.g., differential equation, logic-based, or agent-based models)
  • Expertise in pharmaceutical modeling and simulation approaches (e.g., quantitative systems pharmacology (QSP) or physiologically-based pharmacokinetic (PBPK) modeling)
  • Advanced knowledge of numerical methods relevant to modeling and simulation, including solving systems of ordinary and/or partial differential equations, optimization, Monte Carlo methods
  • Fluency in one or more scientific programming languages (e.g., Python, R, Julia, and/or MATLAB)
  • Knowledge of molecular and cellular biology and drug development
  • Experience communicating effectively with both technical and non-technical audiences as demonstrated by record of presentations and publications

Preferred Qualifications

  • Experience processing and analyzing large-scale genomic and transcriptomic datasets
  • Strong data visualization skills, including interactive visualization (e.g. R Shiny or d3.js)
  • Skilled in statistical and machine learning methods
  • Knowledge of pulmonary physiology

Job Location

This hybrid role is located at our office in Silver Spring, MD and requires reporting to the office at least four days a week. In office requirements could increase based on business needs.

The salary range for this position is $180,500 - $240,000 per year and reflects our good-faith estimate of the compensation for this role at the time of posting. An employee's position within the salary range will be based on factors such as education, qualifications, experience, skills, geographic location, and business needs, as well as other factors permitted by law at the time of posting. This range may be modified in the future based on company and market factors.

At United Therapeutics, our mission and vision are one. We use our enthusiasm, creativity, and persistence to innovate for the unmet medical needs of our patients and to benefit our other stakeholders. We are bold and unconventional. We have fun, we do good.

Eligible employees may participate in the Company's comprehensive benefits suite of programs, including medical / dental / vision / prescription coverage, employee wellness resources, savings plans (401k and ESPP), paid time off & paid parental leave benefits, disability benefits, and more. For additional information on Company benefits, please visit https://www.unither.com/careers/benefits-and-amenities

United Therapeutics Corporation is an Equal Opportunity Employer, including veterans and individuals with disabilities.