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Machine Learning Computational Chemistry Jobs in Berkeley, CA

No prior AI or machine learning experience is required. Training will be provided on project ... Computational Chemistry. • Strong familiarity with modern laboratory methods and computational ...

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Machine Learning Computational Chemistry information

See Berkeley, CA salary details

$27.4K

$127.9K

$236.2K

How much do machine learning computational chemistry jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning computational chemistry in Berkeley, CA is $127,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,009.00 and $172,576.00 per year, depending on experience, location, and employer.

What is machine learning computational chemistry?

Machine learning computational chemistry is a field that combines machine learning techniques with computational chemistry to accelerate the discovery and design of molecules and materials. By training algorithms on large datasets of chemical information, researchers can predict molecular properties, simulate chemical reactions, and optimize compounds more efficiently than traditional methods. This approach helps reduce the time and cost required for research in drug discovery, materials science, and related fields.

What are some common challenges faced by professionals working in machine learning computational chemistry roles?

One common challenge in Machine Learning Computational Chemistry roles is integrating large and often complex chemical datasets with appropriate machine learning models, which requires a solid understanding of both domains. Professionals may also encounter difficulties in ensuring that their models are both interpretable and generalizable to new data, as overfitting is a frequent issue. Additionally, collaboration with chemists and data scientists is essential, so clear communication across disciplines is key to success. Staying up to date with the latest developments in both computational chemistry and machine learning is crucial for ongoing professional growth.

What are the key skills and qualifications needed to thrive as a machine learning computational chemist, and why are they important?

To thrive as a Machine Learning Computational Chemist, you need a solid background in chemistry, mathematics, and computer science, typically supported by an advanced degree in computational chemistry, cheminformatics, or a related field. Proficiency with programming languages (such as Python), machine learning frameworks (like TensorFlow or PyTorch), and molecular modeling software is essential. Strong analytical thinking, problem-solving skills, and effective collaboration are key soft skills that help drive innovation and teamwork. These skills and qualifications are critical for developing accurate models, advancing research, and translating computational insights into real-world chemical solutions.

What is the difference between Machine Learning Computational Chemistry vs Computational Chemist?

AspectMachine Learning Computational ChemistryComputational Chemist
Required CredentialsAdvanced degrees in chemistry, computer science, or related fields; knowledge of machine learning and programmingDegree in chemistry, chemical engineering, or related fields; strong background in chemical theory and modeling
Work EnvironmentResearch labs, tech companies, academia; focus on algorithm development and data analysisLaboratories, research institutions, industry; focus on chemical modeling and simulation
Employer & Industry UsageTech firms, pharmaceutical companies, research institutions applying AI/ML techniquesPharmaceutical, chemical, and materials industries conducting chemical research and development

Machine Learning Computational Chemists specialize in applying machine learning algorithms to chemical data, enhancing predictive models and simulations. Computational Chemists focus on traditional chemical modeling and simulations using computational methods. Both roles require strong chemistry backgrounds, but Machine Learning Computational Chemists emphasize data science and AI skills, while Computational Chemists focus on chemical theory and modeling techniques.

What are popular job titles related to Machine Learning Computational Chemistry jobs in Berkeley, CA?

For Machine Learning Computational Chemistry jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Computational Chemistry jobs in Berkeley, CA look for?

The top searched job categories for Machine Learning Computational Chemistry jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Machine Learning Computational Chemistry jobs?

Cities near Berkeley, CA with the most Machine Learning Computational Chemistry job openings:

Infographic showing various Machine Learning Computational Chemistry job openings in Berkeley, CA as of August 2026, with employment types broken down into 76% Full Time, 6% Temporary, and 18% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $127,862 per year, or $61.5 per hour.

Senior Principal Research Scientist, Computational Chemistry

Initial Therapeutics, Inc.

South San Francisco, CA • On-site

$196 - $242/hr

Other

Medical, Dental, Vision, Retirement

Posted 6 days ago


Job description

Job Summary

IDEAYA Biosciences is a precision medicine oncology company committed to the discovery, development, and commercialization of transformative therapies for cancer. Our approach integrates expertise in small‑molecule drug discovery, structural biology, and bioinformatics with robust capabilities in identifying and validating translational biomarkers to develop tailored, potentially first‑in‑class targeted therapies aligned to the genetic drivers of disease. We have built a deep pipeline of product candidates focused on synthetic lethality and antibody‑drug conjugates (ADCs) for molecularly defined solid tumor indications. Our mission is to bring forth the next wave of precision oncology therapies that are more selective, more effective, and deeply personalized with the goal of altering the course of disease and improving clinical outcomes for patients with cancer.

Location: South San Francisco, CA.

Position Summary

We are seeking an accomplished Senior Principal Research Scientist in Computational Chemistry with significant pharmaceutical industry experience to join our multidisciplinary small‑molecule drug discovery organization. This is a senior individual‑contributor role for a highly experienced computational chemist with a strong track record of advancing pharmaceutical discovery programs through hands‑on scientific impact. The successful candidate will support discovery project teams across target identification, hit discovery, lead optimization, and drug candidate selection. The role requires a high degree of independence, technical depth, and scientific judgment.

Reporting to: Director & Head of Computational Chemistry

What you’ll do
  • Lead structure‑based drug design meetings with medicinal chemists and provide senior‑level, hands‑on drug design and computational chemistry support to small‑molecule drug discovery project teams
  • Contribute to programs from target identification through lead optimization and drug candidate selection
  • Apply structure‑, ligand‑, and fragment‑based modeling to guide medicinal chemistry design
  • Use molecular dynamics, free energy methods, quantum chemistry, and cheminformatics to address complex design and prioritization questions
  • Translate computational analyses into clear, actionable compound design recommendations
  • Serve as a highly experienced computational contributor and scientific advisor within project teams
  • Mentor and coach other scientists in structure‑based drug design through technical guidance and scientific discussion
  • Evaluate new computational methods, tools, and workflows and apply them when they add clear value
  • Maintain scientific rigor, reproducibility, and best practices in an industry drug discovery environment
Requirements
  • PhD in Computational Chemistry or a related discipline with 9+ years of pharmaceutical or biotechnology industry experience
  • Strong understanding of small‑molecule drug discovery and medicinal chemistry principles
  • Demonstrated expertise in structure‑, ligand‑, and fragment‑based drug discovery
  • Expertise in free energy perturbation, molecular dynamics, quantum mechanics, cheminformatics, and ligand affinity estimation methods
  • Proven ability to independently deliver computational work that influences medicinal chemistry decisions and project outcomes
  • Ability to manage priorities across multiple discovery programs
  • Excellent oral and written communication skills
  • Experience applying machine learning or AI methods to molecular design, property prediction, or compound prioritization
  • Experience with Schrödinger modeling software and others (e.g., MOE, OpenEye)
  • Programming, scripting, statistics, and data analysis experience applied to drug discovery
  • Experience working on challenging target classes, including protein–protein interactions and allosteric pockets
  • Track record of contributing to discovery programs that advance high‑quality small‑molecule drug candidates
Total Rewards

In addition to our inspiring mission and highly collaborative and inclusive environment, IDEAYA offers a competitive total rewards package that reflects our pay‑for‑performance philosophy. Employees are eligible to be considered for merit‑based salary increases, company discretionary short‑term incentive plan participation, and company discretionary stock option awards (based on board approval). Our comprehensive benefits package includes, but is not limited to, medical/dental/vision coverage (100% company paid for employees and 90% company paid for dependents), 401(k), ESPP, and wellness programs.

Salary

The expected salary range for the role of Senior Principal Research Scientist, Computational Chemistry is $196,000 – $242,000. The final salary offered to a successful candidate will depend on several factors, including the office location, the candidate’s experience, the disease areas our company is striving to impact, the length of time within the industry, educational background, and performance during the interview process.

Company Compliance

IDEAYA complies with all laws respecting equal employment opportunities and does not discriminate against applicants with regard to any protected characteristic as defined by federal, state, and local law. This position requires you to work onsite in the office at the Company’s facilities for training and meetings, with work‑from‑home flexibility, and the Company requires that all employees working in its facilities be fully vaccinated (except as required by applicable law). Therefore, this position requires you to be fully vaccinated from COVID‑19, subject to reasonable accommodations for medical or religious reasons, and/or as otherwise required by applicable law. The Company considers you fully vaccinated once 14 days have passed since you received either the second dose in a two‑dose COVID‑19 vaccine series or a single‑dose COVID‑19 vaccine. The vaccine must have been FDA approved, have emergency use authorization from the FDA, or, for persons fully vaccinated outside of the U.S., be listed for emergency use by the World Health Organization.

All employees are expected to act with integrity and in full compliance with applicable laws, regulations, and IDEAYA policies, including IDEAYA’s Code of Conduct. Employees must demonstrate good judgement and ethical behavior in all business activities, maintain patient and product safety as a top priority, and report any suspected violations of law or Company policy through appropriate channels.

IDEAYA is an equal‑opportunity employer. In accordance with applicable law, IDEAYA does not discriminate in hiring or otherwise in employment based on race, color, religion, sex, national origin, age, marital or veteran status, disability, sexual orientation, or any other legally protected status. EOE/AA/Vets.

We are committed to providing reasonable accommodations to qualified individuals with disabilities. If you need assistance or an accommodation due to a disability, please get in touch with us at hr@ideayabio.com.

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