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Computational Scientist Rdkit Jobs in Seattle, WA

Vilya

Machine Learning Engineer

Seattle, WA

$154K - $174K/yr

Collaborate with and support the computational scientists at Vilya to help build a world-class ... Familiarity with basic cheminformatics libraries and tools (RDKit, OpenBabel, PyMol, etc.) * An ...

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Computational Scientist Rdkit information

See Seattle, WA salary details

$57.5K

$126.7K

$156.5K

How much do computational scientist rdkit jobs pay per year?

As of May 31, 2026, the average yearly pay for computational scientist rdkit in Seattle, WA is $126,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $155,900.00 per year, depending on experience, location, and employer.

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.

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 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 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.

What are popular job titles related to Computational Scientist Rdkit jobs in Seattle, WA? For Computational Scientist Rdkit jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Computational Scientist Rdkit jobs in Seattle, WA look for? The top searched job categories for Computational Scientist Rdkit jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Computational Scientist Rdkit jobs? Cities near Seattle, WA with the most Computational Scientist Rdkit job openings:
Computational Scientist Rdkit jobs near you
Machine Learning Engineer

Machine Learning Engineer

Vilya

Seattle, WA

$154K - $174K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

Vilya is a computational biotechnology company creating a novel class of medicines to precisely target disease biology. We believe computational approaches are an integral, if not foundational, component of drug discovery and development. Our platform is built on ground-breaking research in advanced computational approaches and taps into uncharted chemical space to design new molecular structures not found in nature.

We are harnessing the power of our platform to go after previously impossible targets in an array of indications. Vilya's ultimate goal is to solve some of the most challenging unmet medical needs that exist today.

Our Vision: Harness a revolution in technology and biology to better human health

Our Mission: Build an independent, leading biotech company founded on intelligent drug design to cure the incurable

We think from atoms to bits – and everywhere in between; now, we are seeking a highly-motivated, creative, and knowledgeable Machine Learning Engineer to help us build a highly-scalable computational drug discovery platform.

Vilya is a team-first organization, and we believe onsite work is essential to how we collaborate, move quickly, and build a strong culture. This is an onsite position in our Seattle office. Join us and help make a difference for patients!

RESPONSIBILITIES:

  • Develop and maintain the infrastructure to support machine learning workflows for drug discovery at scale.
  • Implement and optimize algorithms for data processing, model training and model deployment.
  • Collaborate with and support the computational scientists at Vilya to help build a world-class computational macrocycle drug discovery pipeline.
  • Participate in the development and enhancement of our software platform to ensure that our codebase is reliable, efficient, secure, and scalable.

BASIC QUALIFICATIONS:

  • 1+ year of experience developing and maintaining ML pipelines
  • Understanding of general software development concepts, including git, containers, testing, cloud computing, etc.
  • Experience with modern deep learning frameworks, like PyTorch or JAX
  • Experience with Python scientific computing tools, such as numpy, scipy, pandas, etc.
  • Experience working with big data pipelines
  • Experience working within Linux environments
  • Ability to effectively communicate with a team of diverse backgrounds
  • B.S. in computer science (or equivalent industry experience)

PREFERRED QUALIFICATIONS:

  • A solid background in machine learning, including linear algebra, statistics, and calculus
  • Experience with modern generative modeling frameworks, such as flow matching and diffusion
  • Familiarity with techniques for modeling point-clouds or graphs (GNNs, equivariant transformers, etc.)
  • Familiarity with basic cheminformatics libraries and tools (RDKit, OpenBabel, PyMol, etc.)
  • An interest in drug discovery and working with biochemical data

VILYA BENEFITS:

  • Opportunity to work in a disruptive startup with a talented, experienced, and dedicated team
  • 401(k) plan with employer matching for contributions
  • Stock options
  • Excellent medical, dental, and vision coverage
  • Open, flexible vacation policy
  • Support to attend professional conferences meaningful to your career growth
  • Monthly cell phone and internet stipend
  • Monthly wellness and commuter stipend

#LI-Onsite

Salary range for Seattle, WA
$154,000—$174,000 USD