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Computational Modeling Jobs in Baltimore, MD (NOW HIRING)

Use engineering analysis, computational modeling, and prototype build/test activities to solve technical problems and optimize processes. * Document process changes, improvements, and lessons learned ...

Use engineering analysis, computational modeling, and prototype build/test activities to solve technical problems and optimize processes. * Document process changes, improvements, and lessons learned ...

Use engineering analysis, computational modeling, and prototype build/test activities to solve technical problems and optimize processes. * Document process changes, improvements, and lessons learned ...

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Computational Modeling information

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$54

$73

How much do computational modeling jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for computational modeling in Baltimore, MD is $54.58, according to ZipRecruiter salary data. Most workers in this role earn between $46.59 and $73.08 per hour, depending on experience, location, and employer.

What jobs in the US pay 300,000 a year?

In computational modeling, senior roles such as lead data scientist, quantitative analyst, or research scientist with extensive experience and advanced skills in programming, machine learning, and statistical analysis can reach or exceed a $300,000 annual salary. These positions often require advanced degrees, strong domain expertise, and may be found in finance, technology, or research institutions. Compensation varies based on industry, location, and level of responsibility.

What is a Computational Modeling job?

A Computational Modeling job involves developing and using mathematical models, simulations, and algorithms to analyze complex systems across various fields, such as engineering, physics, biology, and finance. Professionals in this role apply computational techniques to study real-world phenomena, predict outcomes, and optimize processes. They often work with programming languages, statistical methods, and high-performance computing to create accurate and efficient models.

Is 3D modeling a high paying job?

3D modeling can be a well-paying career, especially for experienced professionals working in industries like gaming, film, or product design. Salaries vary based on skill level, industry, location, and the complexity of projects, with advanced 3D modelers often earning higher wages and working with specialized software such as Blender or Maya.

What is the highest paying job in computational biology?

The highest paying roles in computational biology are often senior positions such as Director of Computational Biology or Principal Scientist, which can earn six-figure salaries. These roles typically require advanced degrees, extensive experience, and expertise in areas like machine learning, bioinformatics tools, and programming languages such as Python or R.

What are the key skills and qualifications needed to thrive in the Computational Modeling position, and why are they important?

To thrive in computational modeling, a strong background in mathematics, computer science, and domain-specific knowledge (such as engineering, physics, or biology) is essential, often supported by at least a bachelor's or master's degree in a related field. Familiarity with programming languages like Python, MATLAB, or R, as well as experience with simulation software and data analysis tools, is typically required. Strong problem-solving, analytical thinking, and effective communication skills set outstanding candidates apart. These abilities enable professionals to build accurate models, collaborate successfully with interdisciplinary teams, and translate complex results into actionable insights.

What does a typical day look like for someone working in computational modeling?

A typical day for a computational modeling professional often involves developing and refining mathematical or computer-based models, running simulations, and analyzing large datasets to draw meaningful conclusions. You’ll collaborate closely with domain experts, engineers, and researchers to ensure models accurately reflect real-world processes. The role may also involve presenting findings to stakeholders, troubleshooting code or software issues, and keeping up with new modeling techniques and industry advancements. This dynamic environment requires balancing independent problem-solving with teamwork and communication.

What is a computational modeler?

A computational modeler is a professional who develops and uses computer-based models to simulate complex systems or processes. They often work with programming languages, mathematical algorithms, and data analysis tools to create accurate representations for research, engineering, or scientific purposes.
What are popular job titles related to Computational Modeling jobs in Baltimore, MD? For Computational Modeling jobs in Baltimore, MD, the most frequently searched job titles are:
Infographic showing various Computational Modeling job openings in Baltimore, MD as of July 2026, with employment types broken down into 74% Full Time, 25% Part Time, and 1% Contract. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution, with an average salary of $113,523 per year, or $54.6 per hour.

Associate Director, Computational Biology

Vhr_unither

Silver Spring, MD

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 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 experience in mechanistic modeling approaches in the pharmaceutical industry
  • 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.