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 days of certified sick leave paid above statutory requirements annually 40 paid hours annually for volunteering activities 12 weeks of parental contribution
• Cafeteria for tax free benefits according to your choice (meal vouchers Lítačka sport culture health travel etc.) Multisport Card
• Vodafone Raiffeisen Bank and Foodora discount programmes
• Up-to-date laptop and iPhone
• Parking in the garage showers refreshments massage chairs library music corner
• Competitive salary incentive pay and many more

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