Location :

Responsibilities :

• Work as a Cheminformatics Scientist to develop new algorithms and train new models using scientific data
• Develop scientific solutions using open source and commercial scientific software used by the Chemists in support of Drug Discovery and Development
• Analyze and visualize scientific data to develop actionable insights
• Lead detailed discovery sessions with client scientists, R&D leaders, and business stakeholders to thoroughly document current-state ("As-Is") scientific and technical workflows
• Design and model future-state ("To-Be") processes, focusing on how AI, data science platforms, and advanced informatics can optimize drug discovery, clinical development, and translational research
• Elicit, analyze, and document comprehensive business requirements and functional specifications for complex scientific and GxP-regulated systems (e.g., LIMS, ELN, CTMS, Scientific Data Platforms)
• Translate high-level scientific concepts and business needs into precise user stories, epics, and technology development tasks for Agile development teams
• Collaborate closely with Quantori's Data Scientists, Engineers, and Solution Architects to ensure the final solution design meets scientific integrity, is scalable, and adheres to regulatory requirements
• Act as the primary subject matter expert (SME) during development, UAT, and system validation activities
• Develop high-quality documentation, including process flow diagrams, system specifications, data dictionaries, and traceability matrices to ensure compliance and clarity across the project lifecycle

What we expect :

• Master’s or Doctoral degree in a scientific discipline (e.g., Medicinal Chemistry, Organic Chemistry, or Computational Chemistry)
• 5+ years of dedicated experience in a Cheminformatics Scientist role within the Life Sciences or Pharmaceutical industry
• Proven understanding of key scientific domains such as: R&D/Research Informatics (Assay Development, Computational Chemistry,QSAR); Laboratory Informatics (e.g., LIMS, ELN, Scientific Data Acquisition/Aggregation/Analysis platforms); Experience with Open Source or commercial Cheminformatics tools and solutions
• Exceptional ability to structure complex, scientific conversations into logical process maps and unambiguous technology requirements
• Strong familiarity with the Software Development Life Cycle (SDLC) in an Agile environment and experience documenting requirements for data-intensive or cloud-based solutions (AWS, Azure, or GCP)
• Experience with documentation and processes for GxP-regulated systems (e.g., CFR Part 11, GAMP 5) would be preferred
• Excellent verbal and written communication skills
• Demonstrated experience in facilitating scientific stakeholders and conducting workshops to elicit requirements

Nice to have :

• Prior experience in a scientific research organization or technology consulting firm serving the life sciences sector
• Familiarity with modern Data Science, Machine Learning, or AI use cases in pharma R&D
• Relevant industry certifications (e.g., CBAP, or specialized informatics/cloud certifications)

We offer :

• Competitive compensation
• Remote work
• Flexible working hours
• Healthcare benefits: medical insurance and paid sick leave
• A team with excellent tech expertise