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Computational Scientist Rdkit Jobs in Clark, NJ (NOW HIRING)

Computational Scientist Rdkit information

See Clark, NJ salary details

$51.5K

$113.5K

$140.2K

How much do computational scientist rdkit jobs pay per year?

As of Jun 29, 2026, the average yearly pay for computational scientist rdkit in Clark, NJ is $113,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,400.00 and $139,700.00 per year, depending on experience, location, and employer.

What is a Computational Scientist specializing in RDKit?

A Computational Scientist specializing in RDKit is a professional who uses computational methods and the RDKit cheminformatics toolkit to analyze and model chemical structures and reactions. They often work in fields like drug discovery, materials science, or chemical engineering, leveraging RDKit for tasks such as molecular fingerprinting, property prediction, virtual screening, and data visualization. Their expertise combines advanced programming skills, a strong understanding of chemistry, and the ability to develop or optimize algorithms for chemical data analysis.

What are the key skills and qualifications needed to thrive as a Computational Scientist working with RDKit, and why are they important?

To thrive as a Computational Scientist using RDKit, you need a strong background in cheminformatics, computational chemistry, and programming, typically with an advanced degree in chemistry, bioinformatics, or a related field. Proficiency in Python, familiarity with RDKit libraries, and experience using molecular modeling and data analysis tools are essential. Critical thinking, problem-solving, and effective collaboration are important soft skills for translating scientific questions into computational solutions. These competencies enable accurate molecular data analysis, innovation in research, and successful teamwork in interdisciplinary environments.

What is the difference between Computational Scientist Rdkit vs Computational Chemist?

AspectComputational Scientist RdkitComputational Chemist
Required CredentialsDegree in Chemistry, Bioinformatics, or related; programming skills in Python; familiarity with RDKitDegree in Chemistry, Chemical Engineering, or related; strong background in molecular modeling and programming
Work EnvironmentResearch labs, biotech companies, pharmaceutical firms; focus on software development and data analysisAcademic or industrial labs; focus on experimental design, molecular simulations, and data interpretation
Industry UsageUsed in cheminformatics, drug discovery, and molecular data analysisApplied in pharmaceuticals, materials science, and chemical research

Computational Scientist Rdkit specializes in developing and applying cheminformatics tools using RDKit, often combining programming and data analysis. Computational Chemist focuses on molecular modeling, simulations, and chemical research. While both roles require chemistry knowledge and programming skills, the Computational Scientist Rdkit role emphasizes software development and data processing, whereas the Computational Chemist emphasizes experimental and theoretical chemistry applications.

How does a Computational Scientist working with RDKit typically collaborate with chemists and software engineers on research projects?

Computational Scientists specializing in RDKit often work closely with chemists to translate scientific questions into computational workflows, such as molecule property prediction or virtual screening. They also collaborate with software engineers to integrate RDKit functionalities into larger platforms or to optimize code for performance and scalability. Effective communication and project management are essential, as these interdisciplinary teams rely on regular meetings, shared documentation, and iterative feedback to ensure research goals are met efficiently. This collaborative environment not only fosters scientific innovation but also provides opportunities to learn from experts in related fields.
What are popular job titles related to Computational Scientist Rdkit jobs in Clark, NJ? For Computational Scientist Rdkit jobs in Clark, NJ, the most frequently searched job titles are:
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What cities near Clark, NJ are hiring for Computational Scientist Rdkit jobs? Cities near Clark, NJ with the most Computational Scientist Rdkit job openings:
Machine Learning Scientist/Senior Machine Learning Scientist - Synthesis Planning and Optimizatio...

Machine Learning Scientist/Senior Machine Learning Scientist - Synthesis Planning and Optimizatio...

Genentech

Manhattan, NY • On-site

$100K - $137K/yr

Full-time

Posted 9 days ago


Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

10th of 73 rated pharmaceutical


Job description

Job Summary:
Genentech is committed to innovating healthcare through advanced science and technology. They are seeking a Machine Learning Scientist/Senior Machine Learning Scientist to develop machine learning methods for synthesis-aware molecular design, integrating data to enhance drug discovery processes.
Responsibilities:
• Develop and advance machine learning methods for synthesis-aware molecular design across retrosynthesis, synthesis planning, molecular generation, and search in synthesizable chemical spaces.
• Integrate proprietary reaction and biochemical data to design the next generation of synthesis-aware models and workflows for hit finding and optimisation.
• Build robust, scalable pipelines for active-learning loops that interface directly with automated and high-throughput synthesis platforms.
• Design novel batch synthesis-planning algorithms that maximise chemical-space coverage, information gain and experimental efficiency.
• Drive scientific impact through publications, open-source releases, and conference talks.
• Collaborate widely with computational and experimental researchers at Roche and with academic partners.
Qualifications:
Required:
• Deep machine-learning expertise with a strong foundation in linear algebra, probability and optimization.
• Hands-on experience in modern machine learning approaches such as graph-neural networks, sequence/language models and reinforcement learning.
• Familiarity with chemistry concepts relevant to synthesis planning and molecular optimisation.
• Experience with small molecule data and cheminformatics toolkits such as RDKit or Openeye.
• Fluency in Python.
• Experience with modern ML frameworks like PyTorch or JAX.
• Experience in scientific software development.
• PhD or equivalent research depth in machine learning, computational chemistry, chemical engineering or a related quantitative field such as physics or statistics.
• Record of scientific excellence evidenced by journal and conference publications or a public portfolio of relevant projects (e.g. hosted on GitHub/GitLab).
Preferred:
• Experience with retrosynthesis or synthesis-planning models.
• Experience with automated/high-throughput synthesis.
Company:
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines. Founded in 1976, the company is headquartered in South San Francisco, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Genentech employees say

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Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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