Product Management Senior Specialist

Job Description

The Position

We are seeking a Product Management Senior Specialist with deep expertise in the drug discovery and preclinical research process to help build and enhance data products. The ideal candidate will have a strong scientific background with hands-on understanding of the drug design process, will understand the needs of stakeholders and users, particularly Medicinal Chemists and Computational Chemists, and will bridge the gap between scientific requirements and data-driven product development.

What will you do?

• Collaborate closely with Product, Data Science, and Engineering teams to define and develop data products tailored for drug discovery and preclinical research.
• Gather, manage, and prioritize product requirements by engaging with scientific stakeholders to understand user problems, technical constraints, and strategic objectives.
• Define and refine the product backlog; create actionable user stories that reflect the unique workflows and challenges of preclinical drug discovery.
• Act as a user expert, deeply understanding the motivations, pain points, and goals of scientific users.
• Justify and prioritize improvements to existing products, focusing on delivering measurable value to scientific research and operations.
• Develop and maintain technical knowledge and domain expertise in drug discovery, cheminformatics, and data-driven research processes.
• Write clear problem statements and requirements; facilitate solution design with engineering teams.
• Serve as Product Owner on Agile teams or work closely with one to ensure scientific and data needs are met.
• Plan, design, and conduct testing activities; compile critical training and communication content for scientific end-users.
• Analyze data, observations, and research to generate insights that inform product strategy and decision-making.
• Support the Product Manager in defining and executing strategy in collaboration with engineering teams for one or more data products.
• Accept completed user stories, ensuring deliverables meet acceptance criteria and scientific requirements.
• Act as a customer champion, articulating and advocating for the needs of scientific stakeholders.

Qualifications, Skills & Experience Required

• MSc required; PhD preferred in Chemistry, Cheminformatics, Pharmaceutical Sciences, Computational Chemistry, Computer Science or related field with a focus on drug discovery
• 2+ years building tools or data assets supporting scientific or data analytics workflows
• 3-5 years working with scientific users (e.g., chemists) to define requirements for data products
• Experience with data analytics or data science capabilities, especially in a scientific context
• Experience building ERDs, logical data models, and source-target mappings for scientific data
• Hands-on experience or working knowledge with data management services (AWS Athena, Glue, S3, Redshift, or similar)
• Proficiency in SQL and scientific data management
• Ability to translate scientific/business problems into actionable requirements and tasks
• Strong analytical problem-solving skills
• Excellent written and verbal communication skills, with the ability to engage both technical and scientific stakeholders
• Ability to work independently and manage multiple complex projects simultaneously

Nice to have

• Direct experience in pharmaceutical drug discovery and preclinical development
• Domain knowledge or familiarity with cheminformatics, laboratory data, and scientific workflows
• Knowledge of cheminformatics platforms (e.g., Pipeline Pilot, RDKit, OpenEye) and integration with data science tools
• Familiarity with the drug discovery processes, including key endpoints such as potency, selectivity, ADMET properties, and lead optimization strategies
• Familiarity with cheminformatics tools and concepts such as molecular descriptors, fingerprints, QSAR modeling, and chemical database management
• Experience with Machine Learning Platforms (e.g., Sagemaker, DataBricks) in a scientific setting
• Experience working in Agile software development
• Familiarity with cloud-based software and scientific data platforms

What we offer

• Exciting work in a great team, global projects, international environment 
• Opportunity to learn and grow professionally within the company globally 
• Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases) 
• Pension and health insurance contributions 
• Internal reward system plus referral programme 
• 5 weeks annual leave, 5 sick days, 15 d