ZipRecruiter

Log In

1

Computational Drug Design Jobs in Washington (NOW HIRING)

next page

Showing results 1-20

All JobsComputational Drug Design JobsComputational Drug Design Jobs in Washington

Computational Drug Design information

What is computational drug design?

Computational drug design is the use of computer-based methods and simulations to discover, develop, and optimize new pharmaceutical compounds. This field combines chemistry, biology, and computer science to model how potential drug molecules interact with biological targets, such as proteins or enzymes. Techniques like molecular docking, virtual screening, and molecular dynamics are commonly used to predict the efficacy and safety of new drugs before laboratory testing. By leveraging computational tools, researchers can significantly speed up the drug discovery process and reduce costs.

What are the key skills and qualifications needed to thrive as a computational drug design scientist?

To thrive as a Computational Drug Design scientist, you need a strong background in chemistry, biology, and computer science, typically supported by an advanced degree (e.g., PhD) in a related field. Proficiency with molecular modeling software, cheminformatics tools, and programming languages such as Python or R is essential, along with familiarity with databases like PDB and software such as Schrödinger or MOE. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate computational findings into actionable insights for multidisciplinary teams. These competencies are crucial for efficiently identifying promising drug candidates and supporting data-driven decision-making in pharmaceutical research.

What are some common challenges faced in a computational drug design role, and how can they be addressed?

Professionals in Computational Drug Design often encounter challenges such as managing large and complex datasets, integrating diverse software tools, and ensuring accurate modeling of biological systems. Addressing these challenges typically involves continuous learning to stay updated with the latest algorithms and software, collaborating closely with experimental scientists, and developing strong data management practices. Effective communication and teamwork are also essential, as the role frequently involves working in multidisciplinary teams to translate computational findings into actionable experimental strategies.

What is the difference between Computational Drug Design vs Medicinal Chemist?

AspectComputational Drug DesignMedicinal Chemist
Required CredentialsDegree in Chemistry, Bioinformatics, or related field; strong computational skillsDegree in Chemistry, Organic Chemistry, or related field; laboratory experience
Work EnvironmentResearch labs, pharmaceutical companies, biotech firms; primarily computer-basedLaboratories, pharmaceutical companies; hands-on chemical synthesis and analysis
Industry UsageDrug discovery, virtual screening, molecular modeling

Computational Drug Design focuses on using computer simulations and modeling to identify potential drug candidates, while Medicinal Chemists are involved in synthesizing and testing chemical compounds in the lab. Both roles are essential in the drug development process but differ in their methods and work environments.

What are popular job titles related to Computational Drug Design jobs in Washington?

For Computational Drug Design jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Computational Drug Design jobs in Washington look for?

The top searched job categories for Computational Drug Design jobs in Washington are:

What cities in Washington are hiring for Computational Drug Design jobs?

Cities in Washington with the most Computational Drug Design job openings:

Computational Drug Design jobs near you
Infographic showing various Computational Drug Design job openings in Washington as of June 2026, with employment types broken down into 80% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 74% Physical, 1% Hybrid, and 25% Remote job distribution.

Computational Biologist, Cellularization

Scorpion Therapeutics

Silver Spring, MD • On-site

$140 - $210/hr

Other

Posted 5 days ago

Job description

Who You Are
  • Develop mathematical models of cellular processes in the lung (e.g., cell division, migration, adhesion) modulated by mechanical and chemical environments; analyze experimental data from 3D-printed scaffold cellularization.
  • Establish iterative experimental design cycles based on hypotheses generated by mathematical models to develop new cellularization approaches.
  • Implement model qualification procedures to evaluate uncertainty/variability impacts on model outputs and experimental design.
  • Collaborate with computational biologists and engineers to integrate cell-based models into large multiscale models (organ to molecular level).
  • Partner with internal/external labs to define experimental needs and coordinate experimental data generation for model training/validation.
  • Communicate results via interactive visualizations, presentations, and peer-reviewed journal publications.
  • Perform other duties as assigned.
Minimum Requirements
  • Master’s in biomedical engineering, computational biology, applied mathematics, or related field + 6+ years industry experience developing computational models; OR PhD + 2+ years industry experience (postdoctoral experience at a pharma/biotech acceptable).
  • Expertise in cell-level modeling frameworks (e.g., agent-based models, cellular Potts).
  • Numerical methods for modeling/simulation (ODE/PDE solving, optimization, Monte Carlo).
  • Fluency in scientific programming languages (Python, R, Julia, etc.).
  • Experience with cell-based modeling/simulation software (Morpheus, CompuCell3D).
  • Knowledge of molecular/cellular biology and drug development.
  • Ability to communicate effectively to technical and non-technical audiences.
Preferred Qualifications
  • PhD.
  • Familiarity with quantitative systems pharmacology.
  • Statistical and machine learning skills.
  • Knowledge of pulmonary physiology.
#J-18808-Ljbffr

Apply