Senior Technical Product Manager (Causal Biology)

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SeniorHybrydaFull-time

#469746·Dodano 18 dni temu·0

Źródło: Xebia

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Tech Stack / Keywords

Jira ConfluenceJira Product DiscoveryAPIsSQLNoSQLMLOpsGCPHPCLDAP

Podsumowanie oferty

You will own product strategy, roadmaps and value validation for causal biology products and related scientific data capabilities. You will translate research and technical needs into product requirements and coordinate delivery with engineering, data platform, bioinformatics and computational science teams, working with APIs, data flows and cloud platforms. You will manage backlogs and requirements using Jira, Confluence and Jira Product Discovery.

Wymagania

8+ years of product management experience, preferably with technical, platform or data products.
Experience working closely with software engineering, data engineering or architecture teams.
Strong understanding of product discovery, business use cases, user interviews, roadmaps and backlog prioritisation.
Proven ability to map stakeholders, resolve conflicts and communicate with technical and non-technical audiences.
Experience writing product requirements, PRDs or Product Development Plans.
Practical knowledge of agile methods and hybrid delivery models.
Strong Jira and Confluence skills.
Ability to read technical documentation, follow data flows and discuss technical decisions with engineers and data scientists.
Scientific credibility in life sciences, computational biology, bioinformatics, genomics, omics or a closely related field.
Understanding of scientific research workflows and the needs of researchers and computational scientists.
Knowledge of cloud platforms, APIs, data pipelines and data platforms.
Working knowledge of SQL or NoSQL databases and familiarity with MLOps and AI/ML platform requirements.
Availability to work during UK hours.
Practical experience using AI-powered assistants (e.g. ChatGPT, Claude, Copilot Chat, or similar) to improve productivity, quality or decision-making in analysis and software delivery.

Nice to have:

Experience in pharmaceutical or other regulated environments, including GxP or 21 CFR Part 11.
Familiarity with scientific computing, high-performance computing (HPC) or HPC-to-cloud migrations.
Experience with GCP, including HPC-related services and configurations.
Knowledge of SSO, LDAP, zero-downtime deployments and large scientific data transfers.
Experience with scientific data provenance, reproducibility, security and regulatory requirements.
A background in AI or GenAI applications for scientific workflows.
Experience with vendor relationships, multi-vendor delivery and enterprise integrations.
A track record in product adoption, portfolio rationalisation, modernisation, technical debt reduction or cost optimisation.
Familiarity with life sciences software such as Schrödinger or Benchling.
Relevant cloud certifications.
Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns or tool integrations embedded into daily analytical and documentation work.
Interest in and familiarity with emerging AI-driven practices, such as automation of analysis tasks, AI-supported documentation or workflow optimisation, with a willingness to explore and experiment beyond standard approaches.

Obowiązki

Own product strategy, roadmaps and value validation for causal biology products or related scientific data capabilities.
Drive continuous discovery with researchers and R&D users through interviews, workflow observation and feedback sessions.
Translate complex scientific and technical needs into Product Development Plans, user stories and testable acceptance criteria.
Prioritise the backlog and maintain requirements traceability in Jira, Confluence and Jira Product Discovery.
Guide products through strategy alignment, requirements validation, architecture and design reviews, and launch.
Make scope and priority decisions, coordinating with Project Managers on resources and dependencies.
Lead UAT, release decisions and launch readiness with technical, business and scientific stakeholders.
Work with engineering, data platform, bioinformatics and computational science teams on APIs, data flows, cloud platforms and integrations.
Support product modernisation, rationalisation and adoption, and monitor support requests against the product strategy.
Explore AI opportunities with client teams, including AI-supported prioritisation, analytics and requirements documentation.
Present product updates and recommendations to business leaders and governance forums.

Inne informacje

Work from the European Union region and a work permit are required.
Availability to work during UK hours is required.
Recruitment process: CV review, HR call, interview, client interview and decision.

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