ZipRecruiter

Log In

1

Associate Chemistry Data Science Jobs (NOW HIRING)

Bio-Techne

Research Associate - Chemistry

San Marcos, CA · On-site

$42.40K - $69.50K/yr

... Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for ... Research Associate * Develop OEM in-vitro diagnostic controls and calibrators in areas such as ...

Mat3ra

Computational Materials Scientist

Walnut Creek, CA · On-site +1

$90K - $140K/yr

... 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 ...

next page

Showing results 1-20

People also search for

All JobsAssociate Chemistry Data Science Jobs

Associate Chemistry Data Science information

See salary details

$57.5K

$68K

$129K

How much do associate chemistry data science jobs pay per year?

As of May 30, 2026, the average yearly pay for associate chemistry data science in the United States is $68,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Chemistry Data Scientist, and why are they important?

To thrive as an Associate Chemistry Data Scientist, you need a solid background in chemistry, data analysis, and programming, typically supported by a degree in chemistry, data science, or a related field. Familiarity with tools and languages such as Python, R, cheminformatics software, and data visualization platforms is essential, along with experience in handling large chemical datasets. Strong problem-solving skills, attention to detail, and effective communication set standout candidates apart in this role. These skills enable accurate data interpretation, support collaborative research, and drive innovative solutions in chemical research and development.

How does an Associate Chemistry Data Science professional typically collaborate with laboratory scientists and other data teams?

As an Associate Chemistry Data Science professional, you’ll frequently work alongside laboratory scientists to translate experimental data into actionable insights. Your role often involves helping to design data collection protocols, cleaning and analyzing large datasets, and presenting findings to both technical and non-technical colleagues. Collaboration is key, as you'll participate in cross-functional meetings, contribute to interdisciplinary projects, and sometimes help train lab staff on new data tools or software. This teamwork fosters a dynamic environment where scientific and analytical skills come together to advance research objectives.

What is an Associate Chemistry Data Science role?

An Associate Chemistry Data Science role typically involves applying data analysis, statistical modeling, and machine learning techniques to chemical data in order to derive insights, optimize processes, or support research and development. Professionals in this role work closely with chemists and other scientists to analyze experimental data, build predictive models, and help design experiments. They may also be responsible for data cleaning, visualization, and the interpretation of complex datasets in the chemical sciences. This position often serves as an entry-level or early-career opportunity for individuals with a background in chemistry, data science, or both.
What cities are hiring for Associate Chemistry Data Science jobs? Cities with the most Associate 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 Associate Chemistry Data Science jobs? States with the most job openings for Associate Chemistry Data Science jobs include:
Associate Chemistry Data Science jobs near you
Battery Electrolyte Scientist & Materials Chemistry Leader

Battery Electrolyte Scientist & Materials Chemistry Leader

SES

Woburn, MA • On-site, Remote

Full-time

Medical

Posted 3 days ago

Job description

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones.
To learn more about us, please visit: www.ses.ai
What We Offer:
  • A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company.
  • The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact.
  • Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology.
  • Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering.
  • Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions.

What we Need:
The SES AI Hermes team is seeking an exceptional Battery Electrolyte Scientist & Materials Chemistry Leader to serve as an R&D leader specializing in electrolyte development and interfacial chemistry. This role is critical for producing experimentally validated battery component data, guiding AI model training, and defining the materials innovation roadmap for next-generation energy storage systems. As an Electrolyte Scientist and R&D Leader, you will direct key experimental programs and manage the strategic interface between chemistry and AI.
Essential Duties and Responsibilities:
  • R&D Program Leadership
  • Direct complex electrolyte R&D programs focused on next-generation battery systems, ensuring alignment with customer and product requirements (e.g., safety, cyclability, low/high temperature performance).
  • Lead multi-R&D teams composed of chemists, data scientists, and engineers to achieve key innovation milestones.
  • Define the materials innovation roadmap, particularly related to electrolyte formulation and interfacial science.
  • Experimental Validation & Data Generation
  • Oversee SEI (Solid Electrolyte Interphase) engineering and additive optimization programs, leveraging expertise in fundamental materials chemistry.
  • Lead cell-level validation and the integration of new electrolytes into prototype cells.
  • Produce high-quality, experimentally validated battery component data, guiding AI model training by ensuring data quality, experimental reproducibility, and comprehensive parameter space coverage (Data-driven experimentation).
  • AI Integration & Tools
  • Utilize molecular informatic tools to accelerate battery component optimization cycles, effectively bridging experimental data with AI-generated candidates.

Education and/or Experience:
  • Education: Ph.D. in Materials Science and Engineering, Chemical Engineering, Electrochemistry, or a closely related materials chemistry field.
  • R&D Leadership: Proven background as an electrochemical researcher and R&D leader experienced in directing technical programs and managing multi-disciplinary research teams.
  • Core Chemistry Expertise: Deep expertise in fundamental materials chemistry, interfacial science, additive optimization, and Solid-Electrolyte Interphase (SEI) engineering.
  • Validation Experience: Extensive experience in cell-level validation and advanced characterization techniques, demonstrating an ability to integrate new materials into prototype cells.
  • Data Focus: Demonstrated experience in data-driven experimentation and structuring chemistry data for AI model consumption.

Preferred Qualifications:
  • Industry Focus: Previous experience at leading battery manufacturers, electrolyte R&D teams, or applied materials chemistry labs, especially those focused on next-generation battery and energy storage systems.
  • Program Alignment: Strong track record of successfully aligning R&D execution with clear customer and product requirements.
  • Informatics Tooling: Ability to use or integrate results from molecular informatic tools for component optimization.

Apply