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Scientific Product Manager
Ellison Institute of Technology Oxford. Lead at the interface between innovative science, frontier AI and state-of-the-art product thinking .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in experimental science, particularly in life sciences, with a strong focus on AI/ML, software, and automation. Capable of translating user needs into actionable solutions while advocating for minimal viable products and quick iterations.
Highest-signal resume keywords
Experimental Science BackgroundAI/ML Technical FluencyLaboratory Automation ExperienceStructured Problem SolvingEffective Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Molecular BiologyCellular BiologyMicrobiologyExperimental DesignStatistical AnalysisPrototype DevelopmentModel EvaluationDeep LearningRegression TechniquesData Quality Assessment
Soft Skills
Constructive DisagreementConsensus BuildingComfort with AmbiguityCollaborationUser Advocacy
Tools & Technologies
Laboratory AutomationRoboticsLIMSELN SystemsAI ToolsData Products
Industry Keywords
R&DProduct ManagementTechnology TransferCommercializationContextual Inquiry
About the role
Key responsibilities & impact- Lead at the interface between innovative science, frontier AI and state-of-the-art product thinking
- Collaborate with scientists using the systems, software, robotics, design and AI engineers building them, and AIR and program leadership
- Decide which problems are worth solving and identify relevant solutions
- Anticipate how solutions can be advanced further
- Identify and prioritize scientific problems to maximize research-cycle impact
- Act as the voice of users and surface stated, unarticulated and emerging needs
- Translate user needs into actionable problem statements covering success criteria, biological and hardware constraints, data availability, acceptable failure modes and human sign-off requirements
- Translate solution capabilities and limitations into understandable trade-offs for users
- Advocate for minimal viable solutions and quick iteration
- Identify opportunities for AI, robotics and laboratory automation applications
- Identify required data, its quality and provenance, and gaps requiring new experiments
- Identify product derivation opportunities involving tools, services or datasets
- Build early business cases and collaborate on IP, data rights and commercial considerations
Requirements
What you’ll need- Background in experimental science, ideally life sciences, including molecular and cellular biology, microbiology, or plant biology
- First-hand knowledge of how laboratory work runs and where it goes wrong
- Working technical fluency across AI/ML, software and automation
- Knowledge of which methods suit different problems, including rules, regression, deep learning and LLM agents
- Ability to assess model evaluations and identify overfitting, data leakage, or non-representative benchmarks
- Ability to autonomously develop quick prototypes to test hypotheses is a plus
- History of taking a technical solution from problem framing through adoption by real users in an R&D, product or consulting setting
- Structured problem solving and strong quantitative reasoning
- Experience with experimental design and working statistics
- Effective communication with academic scientists, engineers and executives
- Ability to disagree constructively and steer toward consensus
- Comfort with ambiguity and ownership in a growing R&D organization
- Experience as a translator, product manager, product owner or technical consultant on AI or data products is desirable
- Exposure to laboratory automation, robotics, LIMS or ELN systems is desirable
- Experience turning bespoke projects into platform capabilities or products, or exposure to technology transfer, IP or commercialization, is desirable
- Familiarity with contextual inquiry and workflow or journey mapping is desirable
Benefits
Comp & perks- Enhanced holiday pay
- Pension
- Life Assurance
- Income Protection
- Private Medical Insurance
- Hospital Cash Plan
- Therapy Services
- Perk Box
- Electric Car Scheme
- Collaborative, inclusive and supportive work environment
- Creative risks encouraged
- Commitment to excellence