Scientific Product/Business Analyst leading the development and optimization of scientific software products with a focus on chemistry. Collaborating with multidisciplinary teams to ensure product success and compliance.
Responsibilities
Collaborate with cross-functional teams to define the product vision and roadmap based on business need and scientific research
Stay updated on the latest competing products, and customers’ needs to identify opportunities for product innovation and improvement
Engage regularly with bench and computational chemists, medicinal chemistry project teams, assay scientists, and external partners to gather domain requirements, validate use cases, and capture feedback
Identify, define, and prioritize product requirements and features based on scientific and customer insights
Work closely with software engineers, bioinformaticians, and other stakeholders to translate requirements into user stories, ensuring the efficient and timely delivery of high-quality chemistry products
Plan and conduct product release (SDLC), validation, usability testing, and other evaluation methods to ensure product performance and compliance with scientific standards and regulations
Monitor product performance and user feedback to identify opportunities for enhancements or new product iterations
Requirements
BSc or MSc (PhD desirable) in Chemistry, Organic Chemistry, Computational Chemistry, Chemical Engineering, Cheminformatics or closely related discipline, with at least 3 years’ relevant experience in industry or academic research
Product management experience as well as domain knowledge in a core drug discovery scientific discipline such as chemistry, or cheminformatics
Strong technical/IT background. Experience working with software development teams, data integration, APIs, and familiarity with machine learning applications for chemistry is strongly preferred
Proven product management experience or ownership of scientific product/features with full lifecycle delivery (requirements, development, validation, release, and post-release support)
Practical experience or strong working knowledge of Agile/Scrum and SDLC best practices
Strong user-centric approach to product development
Excellent problem-solving skills and high professional standards with strong ability to prioritize and work under pressure
Excellent communications skills and proven ability to work cross-functionally
Strong communication skills and ability to simplify and explain complex biological problems to data scientists and software engineers.
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