Scientific QA

Position: Scientific QA
Location: Pune
Position Summary
ACS International India is looking for a Scientific QA Associate who combines strong scientific aptitude with an interest in technology, data quality, and automation. This role sits at the intersection of Chemistry, Scientific Content, Data Quality, and Software Testing, supporting the accuracy, integrity, and quality of scientific information and technology platforms used by researchers worldwide.
The successful candidate will leverage their chemistry expertise to review scientific literature, validate chemical information, identify data inconsistencies, perform quality assurance activities, and progressively develop capabilities in QA automation and scientific technology solutions.
Key Responsibilities
Scientific Content & Data Quality
Review published scientific literature and validate scientific information for completeness, accuracy, and consistency.
Analyze chemical structures, reactions, nomenclature, and associated metadata.
Identify and resolve ambiguities in scientific content using established scientific policies and standards.
Validate data extracted from scientific publications and databases.
Conduct quality checks on curated scientific content and datasets.
Investigate discrepancies and recommend corrective actions.
Support continuous improvement initiatives to enhance scientific data quality.
Scientific QA & Testing
Execute manual testing of scientific applications, workflows, and data pipelines.
Validate business rules, chemical data transformations, search results, and system outputs.
Develop test scenarios, test cases, and validation procedures.
Perform regression, functional, and data validation testing.
Document defects clearly and collaborate with development teams to resolve issues.
Support user acceptance testing and production validation activities.
Automation & Technology
Learn and apply QA automation concepts, frameworks, and best practices.
Assist in developing and maintaining automated test scripts.
Work with tools such as Python, Playwright, Selenium, or similar technologies.
Participate in process automation initiatives that improve quality and productivity.
Leverage technology and data analysis tools to identify trends and quality risks.
Collaboration & Learning
Work closely with Information Scientists, Scientific QA specialists, Software Engineers, and Product teams.
Share insights, findings, and best practices with team members.
Demonstrate continuous learning of chemistry, scientific information workflows, and QA technologies.
Contribute to knowledge management and process documentation.
Required
Educational Qualifications
M.Sc. in Organic Chemistry, Pharmaceutical Chemistry, Medicinal Chemistry, Analytical Chemistry, or related Chemistry discipline
Preferred
M.Pharma (Pharmaceutical Chemistry / Pharmaceutics)
M.Phil. or Ph.D. in Chemistry or related scientific discipline
Experience
0-2 years of experience in scientific content, chemistry, cheminformatics, data curation, scientific publishing, quality assurance, or related areas.
Fresh graduates with strong academic credentials and a demonstrated interest in scientific data, quality, and technology are encouraged to apply.
Required Knowledge & Skills
Scientific Competencies
Strong understanding of Organic Chemistry fundamentals.
Ability to interpret chemical structures, reactions, and scientific publications.
Excellent scientific reading comprehension and analytical skills.
Attention to detail in identifying inconsistencies and quality issues.
Strong problem-solving and critical-thinking capability.
Quality & Analytical Competencies
Ability to evaluate information for accuracy, completeness, and consistency.
Strong investigative mindset and root-cause analysis skills.
Ability to apply scientific policies, standards, and validation rules.
Technology Competencies
Proficiency in Microsoft Office tools, especially Excel.
Comfort working with databases, scientific tools, and digital platforms.
Understanding of data validation and quality processes.
Professional Competencies
Learning agility and curiosity.
Effective communication skills.
Ability to work independently and collaboratively.
Strong organizational and time-management skills.
Adaptability to new technologies and evolving business requirements.
Preferred Qualifications
Candidates with exposure to any of the following will have an advantage:
Python programming
Java programming
SQL or database querying
Scientific data curation
Cheminformatics tools (RDKit, KNIME, etc.)
Quality Assurance methodologies
Test case design and defect management
Automation testing tools such as:
Playwright
Selenium
Cypress
Data analytics and visualization tools

Work arrangement
No