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Associate Chemistry Data Science Jobs (NOW HIRING)

Mat3ra

Computational Materials Scientist

Walnut Creek, CA · On-site

$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 ...

Nutrien

Manager, Product Chemistry

Deerfield, IL · On-site

Associate Job Type: Full Time Nutrien is a leading provider of crop inputs and services, and our ... Translate laboratory, R&D, and manufacturing data into clear, compliant regulatory summaries and ...

Tombras

Associate Director, Data Science

Knoxville, TN · On-site

$56K - $56K/yr

Tombras, a 450+ person, full-service, national advertising agency with a digital mindset, is seeking an Associate Director, Data Science. You'll be joining one of the top independent agencies in ...

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

As of Jun 23, 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.

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 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.

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.
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What are the most commonly searched types of Chemistry Data Science jobs? The most popular types of Chemistry Data Science jobs are:
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Associate Chemistry Data Science jobs near you

Scientist I/II, Process Chemistry

Lila Sciences

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Life

Posted 29 days ago

Job description

Your Impact at LILA
The Scientist I/II, Process Chemistry will develop and apply modern process chemistry approaches to support Discovery Chemistry efforts across Lila's platform, with a focus on reaction/reactor engineering, process design, high-throughput experimentation, and digitalized chemistry workflows for small molecules and related molecular matter. This role is intended for a hands-on scientist who combines strong foundations in synthetic and process chemistry with an engineering mindset and experience building practical, scalable, and data-rich experimental workflows.
Working closely with Discovery Chemistry, analytical chemistry, automation, platform engineering, and AI/computational teams, this scientist will design, execute, and optimize reaction and process workflows that improve the speed, robustness, and scalability of chemical transformations. The Scientist I/II will help bridge early discovery chemistry and modern process development by establishing experimentally efficient, digitally enabled, and automation-compatible approaches to reaction screening, process optimization, and chemistry execution.
This role is ideal for a scientist excited by the intersection of chemistry, engineering, high-throughput platforms, process intensification, and digital experimentation, and who wants to help shape next-generation process chemistry capabilities beyond traditional bench development.
What You'll Be Building
  • Design, execute, and optimize process-relevant chemical transformations that support Discovery Chemistry programs and the generation of small molecules.
  • Develop reaction and process workflows with emphasis on engineering rigor, scalability, reproducibility, throughput, and data quality.
  • Apply high-throughput experimentation (HTE) to reaction screening, process optimization, condition scouting, and evaluation of process-relevant variables.
  • Build and execute workflows that connect reaction setup, process screening, workup, analytical readout, and data capture into efficient experimental cycles.
  • Contribute to the design of digitally enabled process chemistry workflows, including structured experimental data generation, electronic documentation, and integration of chemistry data into computational and AI-ready systems.
  • Collaborate with automation and platform teams to develop and adapt reaction and process workflows for robotics-enabled experimentation.
  • Work closely with analytical chemistry teams to ensure rapid and informative analytical support for reaction monitoring, impurity assessment, and process decision-making.
  • Evaluate reaction performance through both chemistry and engineering lenses, including yield, selectivity, impurity formation, mass balance, robustness, throughput, and operational simplicity.
  • Establish best practices for AI-enhanced process design in early discovery settings, balancing speed and molecular access with process understanding and future scalability.
  • Stay current with advances in modern process chemistry, reaction engineering, HTE, digitalization, automation, and enabling technologies relevant to next-generation discovery chemistry.

What You'll Need to Succeed
  • PhD in Process Chemistry, Organic Chemistry, Chemical Engineering, Medicinal Chemistry, or a related discipline with relevant postdoctoral and/or industry experience.
  • Strong hands-on experience in process chemistry, reaction development, or scale-relevant synthetic chemistry.
  • Demonstrated experience applying engineering principles to chemical process design, optimization, and troubleshooting.
  • Experience with HTE for reaction or process screening, optimization, and data-rich experimentation.
  • Strong understanding of key process variables in discovery chemistry.
  • Experience with reaction workup, sample handling, purification, and analytical interpretation in fast-paced chemistry environments.
  • Hands-on familiarity with analytical tools commonly used to support process chemistry.
  • Experience generating well-structured experimental data to support reproducibility and digital workflows.
  • Ability to troubleshoot complex experimental problems and independently drive practical, technically sound solutions.
  • Strong collaborative skills and ability to work effectively across chemistry, analytics, automation, engineering, and computational teams.

Bonus Points For
  • Experience supporting Discovery Chemistry or small molecule R&D in biotech, pharma, or advanced platform environments.
  • Familiarity with modern process chemistry in early discovery settings, including rapid route improvement, robustness assessment, impurity understanding, and scalable reaction design.
  • Experience with miniaturized process screening, parallel reactors, or robotics-enabled chemistry platforms.
  • Experience contributing to the digitalization of process chemistry, including structured data capture, ELNs, workflow automation, or AI/ML-enabled experimental environments.
  • Ability to connect chemistry execution with broader platform goals such as throughput, automation compatibility, and data generation.
  • Strong scientific curiosity and enthusiasm for building next-generation process chemistry capabilities that go beyond traditional development paradigms.

Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$108,000-$170,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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