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Associate Bioinformatics Scientist Jobs in Washington

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Associate Bioinformatics Scientist information

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 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 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.

What are the most commonly searched types of Bioinformatics Scientist jobs in Washington?

The most popular types of Bioinformatics Scientist jobs in Washington are:

What cities in Washington are hiring for Associate Bioinformatics Scientist jobs?

Cities in Washington with the most Associate Bioinformatics Scientist job openings:

Infographic showing various Associate Bioinformatics Scientist job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Associate Director, Computational Biology

United Therapeutics

Silver Spring, MD

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


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.