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Postdoctoral Computational Drug Discovery Jobs (NOW HIRING)

Transcripta Bio

Scientist, Drug Discovery

Palo Alto, CA · On-site

$120 - $180/hr

... computational and therapeutic teams to align experimental outputs with platform requirements ... industry or postdoctoral experience; or MS with 6+ years of relevant industry experience.

Transcripta Bio

Scientist, Drug Discovery

Palo Alto, CA · On-site

... computational and therapeutic teams to align experimental outputs with platform requirements. • ... postdoctoral experience; or MS with 6+ years of relevant industry experience. • Demonstrated ...

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Postdoctoral Computational Drug Discovery information

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$25K

$59K

$83.5K

How much do postdoctoral computational drug discovery jobs pay per year?

As of Aug 20, 2026, the average yearly pay for postdoctoral computational drug discovery in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What is a postdoctoral computational drug discovery researcher?

A Postdoctoral Computational Drug Discovery researcher is a scientist with a doctoral degree who applies computational methods and modeling to identify, design, and optimize potential drug candidates. They use techniques such as molecular docking, virtual screening, and machine learning to predict how compounds will interact with biological targets. Their work accelerates the drug discovery process by helping to focus laboratory experiments on the most promising leads. These researchers often collaborate with experimental scientists and contribute to publications and grant proposals.

What are some typical collaborative projects a postdoctoral computational drug discovery researcher might work on?

As a Postdoctoral Computational Drug Discovery researcher, you will often collaborate with interdisciplinary teams that include medicinal chemists, biologists, and data scientists. Projects typically involve integrating computational modeling with experimental data to identify and optimize potential drug candidates. You may work on tasks such as virtual screening, molecular dynamics simulations, and structure-based drug design, frequently presenting findings in group meetings and co-authoring publications. This collaborative environment fosters both scientific innovation and professional growth.

What are the key skills and qualifications needed to thrive as a postdoctoral computational drug discovery scientist, and why are they important?

To thrive as a Postdoctoral Computational Drug Discovery scientist, you need a strong background in computational biology, chemistry, or bioinformatics, usually supported by a PhD in a relevant field. Expertise in molecular modeling software, scripting languages (such as Python or R), and familiarity with drug discovery databases and high-performance computing are commonly required. Analytical thinking, problem-solving, and effective communication are vital soft skills for interdisciplinary collaboration and presenting complex findings. These skills are crucial to efficiently design and analyze experiments, accelerate drug discovery pipelines, and contribute valuable insights in a competitive research environment.
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Postdoctoral Computational Drug Discovery jobs near you
Infographic showing various Postdoctoral Computational Drug Discovery job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.

Machine Learning Engineer - Computational Drug Discovery

5AM Ventures

Watertown, MA • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 15 days ago

Job description

Our team is dedicated to the development of a broad pipeline of small molecules powered by unique chemistry insights to address a wide range of highly unmet clinical needs.  Our company was created within 5AM Ventures' 4:59 Initiative in 2023.  
The computational team has roots from D. E. Shaw Research, one of the most rigorous computational science environments in the world. You will work directly with and learn from scientists who have operated at the frontier of computational drug discovery.

Your Role

This role sits at the intersection of machine learning research and the experimental teams that rely on computational tools to drive scientific decisions. Your primary responsibility will be ensuring that cutting-edge models move from research into production-reliably, maintainably, and in forms that scientists can effectively use.

For the right candidate, this is an unusually high-impact position. The systems you build will directly influence molecule triage, experimental prioritization, and the pace of scientific discovery. At many organizations, engineers are several layers removed from scientific decision-making. At our team, that distance is effectively zero.

We value ownership, initiative, and execution. Strong performers will have opportunities to grow into areas such as machine learning research, cheminformatics, AI-driven drug discovery, or agent development. The exact trajectory is flexible and can be shaped around individual strengths and interests.

Your Responsibilities
  • Own and maintain production machine learning infrastructure, ensuring models developed by the research team are robust, maintainable, and deployable
  • Develop computational tools, data pipelines, and machine learning systems that support scientific workflows across chemistry and biology
  • Collaborate closely with chemists and biologists to understand requirements and translate them into effective software solutions
  • Design and build internal AI agents and automation systems, with substantial opportunity to define both the technical direction and user experience
  • Write clean, well-tested, version-controlled code and contribute to a strong engineering culture through code review and technical collaboration
Your Background & Qualifications
  • Bachelor's or Master's degree in Computer Science, Chemistry, Physics, Data Science, or a related technical field
  • Strong software engineering fundamentals, including code quality, testing, version control, and CI/CD practices
  • Hands-on experience developing machine learning systems using PyTorch
  • Familiarity with undergraduate-level organic chemistry; you do not need to be a chemist, but should be comfortable working with molecular structures and chemical concepts
  • Ability to communicate effectively with scientific collaborators from non-programming backgrounds
  • Strong sense of ownership and the ability to independently drive ambiguous projects from concept to completion
  • We are particularly excited to bring in people who enjoy turning research ideas into tools that scientists actually use. The ideal candidate is comfortable operating across disciplines, takes pride in building reliable systems, and appreciates the opportunity to have a direct impact on scientific decision-making.
PREFERRED QUALIFICATIONS
  • Experience with AWS, MLflow, SQL, Polars, pandas, Ray, or scikit-learn
  • Familiarity with LLM tooling, AI agents, or agent development frameworks
  • Background in cheminformatics, computational biology, bioinformatics, or related fields
  • Experience working in a startup, research, or other highly iterative technical environment

We believe great people do their best work when they're supported. That's why we offer competitive compensation, meaningful equity, comprehensive health benefits, generous time off, professional development opportunities, and the flexibility to do your best work.

In addition to base salary each role has a bonus target to share in company success as well as ownership through equity.

We also provide a full benefits package that is effective from your first day of hire that includes:

  • Medical/Dental insurance with the company covering 90% of your premiums 
    • Fully-funded HSA to cover your deductible responsibility
  • 100% Company-paid life insurance regardless if electing benefits
  • Free parking on-site 
  • Unaccrued vacation time, with the expectation for employees to take at least 3 weeks annually
  • 401k program, employee funded
  • Weekly catered team lunch
  • On-site fitness center with free classes and amenities

 We are an equal opportunity employer. We do not discriminate in regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, marital status, ancestry, physical or mental disability, veteran status, or any other legally protected characteristics.

Please note that we do not accept unsolicited resumes from recruitment agencies and external recruiters. No fees will be paid for such submissions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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