Senior Product Manager – Causal Biology

Contract | Fully Remote (EU) | $30–35 per hour

About the Role

I’m recruiting a Senior Product Manager to join a life sciences R&D product team supporting digital transformation initiatives within a leading pharmaceutical organisation.

This role combines strong technical product management experience with scientific knowledge across computational biology, bioinformatics, genomics, omics or a closely related discipline.

You will take ownership of strategic products and scientific data capabilities, working closely with researchers, scientists, bioinformaticians, engineering teams and business stakeholders to drive product development, innovation and R&D acceleration.

This is a hands-on product ownership role, focused on product strategy, discovery, roadmap development and delivery rather than PMO or programme coordination.

Responsibilities

• Own end-to-end product strategy, roadmap development and prioritisation for assigned products and scientific data capabilities.

• Drive continuous product discovery, innovation and new product development to accelerate scientific R&D.

• Translate complex scientific and technical requirements into clear product development plans, user stories and acceptance criteria.

• Manage product backlogs, scope and prioritisation using Jira, Confluence and Jira Product Discovery.

• Work closely with software engineering, data engineering, bioinformatics and computational science teams to assess technical feasibility and design.

• Act as the primary product contact for scientific and business stakeholders, including researchers, computational scientists and bioinformaticians.

• Conduct user interviews, discovery workshops and workflow observations to understand research requirements and improve product capabilities.

• Lead requirements validation, design reviews, UAT, release decisions and launch readiness.

• Monitor product performance through business metrics, user feedback and experimentation.

• Navigate complex scientific data ecosystems, APIs, data pipelines, cloud platforms and integration patterns.

• Support product modernisation, rationalisation and sunsetting where appropriate.

• Contribute to AI-driven product improvements, including GenAI use cases, automated documentation and intelligent backlog prioritisation.

• Maintain product documentation, reporting and stakeholder communications.

Requirements

• 8+ years of Product Management experience, ideally working with technical, data or platform products.

• Strong scientific domain knowledge across computational biology, bioinformatics, genomics, omics or related life sciences disciplines.

• Experience managing technical products involving APIs, data platforms, data pipelines or infrastructure capabilities.

• Strong stakeholder management skills, with the ability to work across scientific, business and engineering teams.

• Experience translating complex technical and scientific requirements into product roadmaps, PRDs and user stories.

• Strong understanding of agile methodologies and hybrid product delivery environments.

• Advanced experience with Jira and Confluence.

• Understanding of cloud platforms, data engineering and modern database technologies, including SQL and NoSQL.

• Ability to understand technical architecture, data flows and integration patterns.

• Familiarity with AI/ML platforms and MLOps practices.

• Experience within pharmaceutical, life sciences or other regulated environments.

• Understanding of scientific research workflows and R&D systems.

Nice to Have

• Experience with Google Cloud Platform (GCP).

• Knowledge of high-performance computing (HPC) environments and HPC-to-cloud migrations.

• Experience working with large-scale scientific datasets and data movement challenges.

• Understanding of authentication systems, including SSO and LDAP.

• Knowledge of GxP and 21 CFR Part 11 compliance requirements.

• Relevant cloud certifications.

Contract Details

• Rate: $30–35 per hour

• Location: Fully remote within the EU

• Engagement: Contract

• Working arrangement: 100% remote