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Chemistry Data Analyst Jobs (NOW HIRING)

Follow training to independently review data and carry out routine analyses * Collaborate with ... Bachelor's in Chemistry, Biology, or related field * 1+ year of Empower experience. * 0-2 years of ...

Follow training to independently review data and carry out routine analyses * Collaborate with ... Bachelor's in Chemistry, Biology, or related field * 1+ year of Empower experience. * 0-2 years of ...

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In this role, you'll provide the final quality review and disposition of chemistry testing data supporting release of compounded and pharmaceutical products, making sure every analytical result ...

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Analytical data validation, data review and data quality report writing * Analytical chemistry support for site investigations related to hazardous waste site remediation * Assist development of ...

Job ID: 804257 Job Title: QA Analyst Location: 550 W 16th Street Indianapolis IN 46202 Duration:12 ... The QAC also will do in-depth review of chemistry data packages for Indiana Dept of Environmental ...

... chemistry, materials science, or related -- and 3 - 5 years work experience in a related field ... Strong working proficiency in Python for data analysis (e.g., pandas, SciPy, Jupyter, matplotlib ...

QUALITY DATA ANALYST LOCATION: Remote (WI or MN based candidates preferred) REPORTS TO: Quality ... B.S. in Food Science, Biology, Chemistry, Computer Science, Business, Statistics, or a related ...

QUALITY DATA ANALYST LOCATION: Remote (WI or MN based candidates preferred) REPORTS TO: Quality ... B.S. in Food Science, Biology, Chemistry, Computer Science, Business, Statistics, or a related ...

... Chemistry, Data Analysis, Data Management, Dosage Forms, GMP Laboratory, Good Manufacturing ... Practices (GMP), High-Performance Liquid Chromatography (HPLC), Interdisciplinary Collaboration ...

Review analytical chemistry and quality control data using electronic laboratory systems. * Perform quality reviews and investigate out-of-specification (OOS) and out-of-trend (OOT) results. * Review ...

$71K - $113K/yr

Analytical Chemistry, Analytical Development, Analytical Instrumentation, Analytical Thinking, Chemical Physics, Chemical Research, Chemical Technology, Chemistry, Data Analysis, Data Management ...

... analytical or environmental or other chemical laboratory. POSITION DESCRIPTION The Indiana Dept of ... The QAC also will do in-depth review of chemistry data packages for Indiana Dept of Environmental ...

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Chemistry Data Analyst information

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$34K

$82.6K

$136K

How much do chemistry data analyst jobs pay per year?

As of Jul 29, 2026, the average yearly pay for chemistry data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the typical daily tasks and team interactions for a Chemistry Data Analyst?

As a Chemistry Data Analyst, your daily tasks often include gathering and cleaning chemical data, performing statistical analyses, and creating reports or visualizations for research and development teams. You may work closely with chemists, laboratory technicians, and data scientists to interpret experimental results and help guide decision-making processes. Collaboration is common, especially when troubleshooting data anomalies or designing new experiments. You’ll also regularly present findings to colleagues across different departments, making clear communication of technical concepts an important part of your job. This blend of analytical work and teamwork creates a dynamic work environment designed to drive innovation and enhance research outcomes.

What is a Chemistry Data Analyst job?

A Chemistry Data Analyst collects, processes, and interprets chemical data to support research, quality control, and decision-making in industries like pharmaceuticals, manufacturing, or environmental science. They use statistical tools, programming languages, and data visualization techniques to identify trends and ensure data accuracy. Their work helps improve product formulations, optimize lab processes, and ensure regulatory compliance.

What are the key skills and qualifications needed to thrive in the Chemistry Data Analyst position, and why are they important?

To thrive as a Chemistry Data Analyst, you need a strong background in chemistry or chemical engineering, combined with proficiency in data analysis and statistics. Familiarity with analytical tools such as Python, R, SQL, and chemical data management systems, as well as certifications like Six Sigma or training in laboratory information management systems (LIMS), is highly valued. Strong analytical thinking, attention to detail, and effective communication skills are essential soft skills for this role. These capabilities enable you to accurately interpret and communicate complex chemical data, ensuring insights are actionable and valuable to research or business objectives.

More about Chemistry Data Analyst jobs
What cities are hiring for Chemistry Data Analyst jobs? Cities with the most Chemistry Data Analyst job openings:
What states have the most Chemistry Data Analyst jobs? States with the most job openings for Chemistry Data Analyst jobs include:
What job categories do people searching Chemistry Data Analyst jobs look for? The top searched job categories for Chemistry Data Analyst jobs are:
Infographic showing various Chemistry Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Scientist I/II, Process Chemistry

Lila Sciences

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Life

Re-posted 5 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.