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Chemistry Data Science Jobs (NOW HIRING)

$129K - $203K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

D. or M.S. in Computer Science, Computational Biology, Computational Chemistry, Bioinformatics ... Computational Biology, Computational Chemistry, Data Engineering, Data Modeling, Data Science, Data ...

$129K - $203K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

D. or M.S. in Computer Science, Computational Biology, Computational Chemistry, Bioinformatics ... Computational Biology, Computational Chemistry, Data Engineering, Data Modeling, Data Science, Data ...

Director Oncology Data Science LMW

Cambridge, MA

$194K - $361K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Collaborate closely with the Oncology Data Science AI team and other teams such as generative chemistry teams on the development and implementation of innovative machine learning algorithms, AI ...

Computational Materials Scientist

Walnut Creek, CA · On-site +1

$90K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... chemistry, data science, and computer science to help us develop a software framework for designing and discovering new advanced materials and chemicals. Work will focus on (1) the application of ...

Computational Materials Scientist

Walnut Creek, CA · On-site

$90K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... chemistry, data science, and computer science to help us develop a software framework for designing and discovering new advanced materials and chemicals. Work will focus on (1) the application of ...

Mgr, Product Chemistry

Deerfield, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Translate laboratory, R&D, and manufacturing data into clear, compliant regulatory summaries and ... A Bachelor's degree in Chemistry, Analytical Chemistry, Chemical Engineering, Biological Sciences ...

Showing results 21-40

Chemistry Data Science information

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$37.5K

$122.7K

$196.5K

How much do chemistry data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for chemistry data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Can a chemistry graduate become a data scientist?

Yes, a chemistry graduate can become a data scientist by developing skills in programming, statistics, and machine learning, often through online courses or certifications. Strong analytical and problem-solving abilities gained in chemistry are valuable in data science roles, which typically require knowledge of tools like Python, R, and data visualization software.

What are the typical responsibilities of a chemistry data science professional?

Chemistry Data Science professionals are often tasked with analyzing large datasets derived from laboratory experiments or chemical manufacturing processes to uncover patterns, improve yields, or predict properties of new compounds. On a day-to-day basis, they may design predictive models, collaborate with chemists and engineers, and use advanced software to manage and interpret chemical data. The role frequently involves presenting findings to cross-functional teams and supporting decision-making through evidence-based recommendations. This collaborative approach helps drive innovation and efficiency in product development, quality control, or scientific research projects.

What is a chemistry data science?

A Chemistry Data Science job involves applying data analysis, machine learning, and computational techniques to solve problems in chemistry. Professionals in this field work with large datasets from experiments, simulations, or literature to extract insights, optimize processes, and make predictions. Common applications include drug discovery, materials science, chemical informatics, and reaction optimization. This role typically requires expertise in chemistry, programming (e.g., Python, R), and statistical modeling.

What are the key skills and qualifications needed for chemistry data science?

To excel in Chemistry Data Science, a strong background in chemistry combined with data analysis skills, usually evidenced by a degree in chemistry, chemical engineering, or a related field along with experience in statistics or data science, is essential. Familiarity with scientific computing, statistical programming languages like Python or R, and data visualization tools, as well as experience with cheminformatics databases, are typically required. Strong problem-solving, collaboration, and communication abilities set candidates apart in this interdisciplinary field. These skills are crucial for extracting actionable insights from complex chemical data, enabling informed decision-making and innovation in research or industry settings.

More about Chemistry Data Science jobs

What cities are hiring for Chemistry Data Science jobs?

Cities with the most Chemistry Data Science job openings:

What are the most commonly searched types of Chemistry Data Science jobs?

The most popular types of Chemistry Data Science jobs are:

What states have the most Chemistry Data Science jobs?

States with the most job openings for Chemistry Data Science jobs include:

Infographic showing various Chemistry Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

$129K - $203K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Merck rating

8.0

Company rating: 8.0 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

43rd of 86 rated pharmaceutical


Job description

Job DescriptionThe Computational Toxicology Group within Nonclinical Drug Safety (NDS) seeks a senior AI/ML scientist to drive the development and deployment of next-generation computational toxicology capabilities. This role will combine advanced machine learning, foundation model engineering, and domain expertise to accelerate safer drug discovery and support regulatory-ready New Approach Methodologies (NAMs). The successful candidate will lead cross-functional projects, deliver production-grade models and agentic systems, and help establish governance and MLOps practices that ensure reproducibility, transparency, and ethical AI use in preclinical research. Key responsibilities Lead deployment of advanced AI/ML solutions (multimodal transformers, graph or sequence models, Bayesian/probabilistic approaches) for toxicity prediction and translational safety applications. Design and implement agentic AI systems tailored to toxicology use cases Specialize in the fine-tuning and alignment of foundation models for toxicology domain-specific applications and supporting new approach methods (NAMs). Drive collaboration with cross-functional teams-of toxicologists, computational scientists, biologists, and chemists to ensure explainability, reproducibility, and address specific " context of use " regulatory requirements for safety assessments. Champion best practices in model governance, and responsible AI-within a regulated environment, helping to establish frameworks for responsible and ethical AI deployment in preclinical research.- Present and communicate science in key internal and external toxicology forums. Required qualifications Ph.D. or M.S. in Computer Science, Computational Biology, Computational Chemistry, Bioinformatics, Statistics, or related field. 0+ years post-PhD or 3+ years post-MS experience developing and deploying AI/ML models Hands-on experience with large language models and agentic AI frameworks (fine-tuning, prompt engineering, multi-agent orchestration, tool use, and API-based production orchestration) required. Proven experience integrating and modeling multimodal datasets (omics, chemical, textual, imaging). Strong software development skills in Python and familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow), MLOps tools, cloud platforms (AWS preferred), and HPC environments. Excellent communication skills; ability to translate complex technical work to domain experts and leadership. Preferred qualifications Demonstrated publication record applying AI/ML to life sciences or toxicology. Experience with probabilistic/Bayesian modeling, uncertainty quantification, or causal inference. Prior experience designing agentic systems, human-in-the-loop workflows, or using reinforcement learning for agent behavior control. Prior experience working in regulated environments or developing regulator-ready models. Required Skills: Computational Biology, Computational Chemistry, Data Engineering, Data Modeling, Data Science, Data Visualization, Environmental Toxicology, Foundation Engineering, Large Language Models (LLMs), Machine Learning (ML), Machine Learning Operations, Prompt Engineering, Regulatory Requirements, Software Development, Stakeholder Relationship Management, Toxicology, Uncertainty QuantificationPreferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only:Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.--As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.- For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:EEOC Know Your Rights EEOC GINA Supplement• We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.Learn more about your rights, including under California, Colorado and other US State Acts The salary range for this role is$129,000.00 - $203,100.00This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.We offer a comprehensive package of benefits.- Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits .You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting. San Francisco Residents Only: -We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance Los Angeles Residents Only: -We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance Search Firm Representatives Please Read Carefully-Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. -No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.-Employee Status: RegularRelocation:Domestic/InternationalVISA Sponsorship:Yes Travel Requirements: No Travel RequiredFlexible Work Arrangements:HybridShift:Not IndicatedValid Driving License:NoHazardous Material(s):N/AJob Posting End Date:08/21/2026 *A job posting is effective until 11:59:59PM on the day BEFORE -the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID:R394309 Salary: . Date posted: 08/08/2026

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