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Bioinformatic Engineer Jobs in Baltimore, MD (NOW HIRING)

Vhr_unither

Co-op - Computational Lab

Silver Spring, MD · On-site

Apply agent-based modeling to represent behavior of cell populations on tissue engineered scaffolds ... bioinformatics / machine learning skills (project-dependent) * Highly self-motivated * Excellent ...

Umd

Assistant Clinical Professor

College Park, MD · On-site

$55K - $85K/yr

... Engineering, Information & Data Science, Geographical Information Systems, Physics, Astronomy, Atmospheric Sciences, Computational Chemistry & Biochemistry, Computational Biology & Bioinformatics ...

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Bioinformatic Engineer information

See Baltimore, MD salary details

$32.8K

$88.6K

$141.1K

How much do bioinformatic engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for bioinformatic engineer in Baltimore, MD is $88,616.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $108,300.00 per year, depending on experience, location, and employer.

What is a bioinformatic engineer?

Bioinformatic Engineers are professionals who develop and apply computational tools and techniques to analyze biological data, such as DNA sequences, protein structures, and genetic information. They combine expertise in computer science, biology, and mathematics to process large datasets generated by modern biological experiments. Their work supports research in areas like genomics, drug discovery, and personalized medicine by helping scientists make sense of complex biological data.

What skills and qualifications are needed to thrive as a bioinformatic engineer?

To thrive as a Bioinformatic Engineer, you need a strong background in computational biology, programming (such as Python or R), statistics, and a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (like BLAST, GATK, or Bioconductor), data analysis platforms, and experience with databases such as SQL are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills are essential for accurately analyzing biological data, deriving meaningful insights, and facilitating research or clinical advancements.

What are common challenges faced by bioinformatic engineers when working with large-scale genomic data?

Bioinformatic Engineers often encounter challenges related to managing and processing vast amounts of genomic data, which can require significant computational resources and efficient data handling strategies. Ensuring data integrity, reproducibility of analyses, and effective collaboration with multidisciplinary teams of biologists, statisticians, and software developers are also key aspects of the role. Staying updated with the latest bioinformatics tools and pipelines is essential, as the field evolves rapidly. Overcoming these challenges requires strong problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders.

What is the difference between Bioinformatic Engineer vs Bioinformatics Analyst?

AspectBioinformatic EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Bioinformatics, Biology, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisAnalyzes biological data, interprets results, and reports findings

While both roles involve biological data, Bioinformatic Engineers focus on developing computational tools and pipelines, whereas Bioinformatics Analysts primarily interpret data and generate insights. Both positions require similar educational backgrounds and are vital in research and healthcare settings, but their core responsibilities differ in development versus analysis.

What are popular job titles related to Bioinformatic Engineer jobs in Baltimore, MD?

For Bioinformatic Engineer jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Bioinformatic Engineer jobs in Baltimore, MD look for?

The top searched job categories for Bioinformatic Engineer jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Bioinformatic Engineer jobs?

Cities near Baltimore, MD with the most Bioinformatic Engineer job openings:

Bioinformatic Engineer jobs near you
Infographic showing various Bioinformatic Engineer job openings in Baltimore, MD as of June 2026, with employment types broken down into 73% Full Time, 18% Part Time, and 9% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $88,616 per year, or $42.6 per hour.

Co-op - Computational Lab

Vhr_unither

Silver Spring, MD • On-site

Part-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Key responsibilities

  • Assist in the development and implementation of mathematical models of molecular and physiological processes related to lung diseases and drug response.

  • Identify suitable data sources in literature and public repositories for training and validating mathematical models.

  • Implement mathematical models by developing well-documented code using version control systems and present plans and results regularly.

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

UT's computational systems biology lab in Silver Spring, MD is building an in-silico model of the lung to support drug development. In this role as a Spring 2026 Co-op, you will assist in the development and implementation of mathematical models of molecular and physiological processes that regulate lung diseases and drug response. This coop will run from June/July (or sooner) for 6 months.

  • Conduct research on mathematical modeling approaches to add new features to the in-silico lung model; evaluate suitability for addressing research questions and feasibility of implementation
  • Identify data in the literature and public repositories suitable for training and validating mathematical models
  • Implement mathematical models by developing well-documented code using version control systems
  • Present plans and results regularly to members of the computational lab and other scientists within the company

Example projects could include:

  • Simulate the complex interplay between lung tissue mechanics and fluid dynamics (either air or blood), with a focus on how mechanical alterations due to disease conditions can affect clinical measurements related to hemodynamics and pulmonary function testing
  • Apply statistical / machine learning approaches to analyze large-scale molecular data (transcriptomics, proteomics, etc.) to derive insights into lung function and drug response
  • Generate mechanistic ODE-based models of signaling pathways relevant to lung physiology and drug response, and apply quantitative systems pharmacology approaches to assist with clinical development objectives
  • Apply agent-based modeling to represent behavior of cell populations on tissue engineered scaffolds

Minimum qualifications:

  • Candidates are expected to be actively enrolled in a Master's or PhD program in a science/engineering discipline
  • Available to work 40 hours/week onsite in Silver Spring, MD
  • Experience with implementation of modeling and simulation (either PDE-based fluid dynamics, ODE-based signaling models, or agent-based modeling) or bioinformatics / machine learning skills (project-dependent)
  • Highly self-motivated
  • Excellent teamwork skills
  • Strong writing and communication skills
  • Proficiency in at least one of the following: R, Python, Julia, Matlab, or other programming language

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.

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