About Xebia For more than 25 years, our general network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 6000+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating.

Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high quality way of working that inspires all we do.

At Xebia, we put ‘People First’—committed to attracting diverse talent and fostering an inclusive, respectful workplace where everyone is valued for their contributions. We welcome all individuals and evaluate solely on the quality of their work and teamwork.

Position Overview

- Sr Product Manager - Causal Biology

Location : Remote Time Zone Availability : Must be available for UK time zone

Experience : 8+ Years of Product Management Experience

We are looking for a Senior Product Manager to join our Life Sciences R&D; product team, supporting digital transformation initiatives for a leading pharmaceutical company.

This is a hands-on product leadership role combining strategic product management, technical expertise, and strong scientific understanding . You will work closely with researchers, scientists, engineers, data teams, business stakeholders, and external partners to develop products and capabilities that accelerate R&D.;

The ideal candidate brings 8+ years of product management experience , strong technical product knowledge, and a background in life sciences, pharmaceutical R&D;, computational biology, bioinformatics, genomics, omics, or a closely related scientific domain .

What you'll do

Product Strategy & Leadership

- Own product strategy, roadmap, prioritisation, and business value for strategic scientific products and data capabilities.
- Drive continuous discovery, innovation, and product development focused on R&D; acceleration.
- Translate business, scientific, and technical needs into clear product plans and actionable requirements.
- Balance product scope, priorities, dependencies, resources, and technical feasibility.
- Drive products through discovery, development, validation, and launch.

Product Discovery & Delivery

- Work directly with researchers, scientists, computational scientists, bioinformaticians, engineers, and business stakeholders to understand their needs and workflows.
- Conduct user interviews, discovery sessions, workflow analysis, and continuous feedback activities.




- Create clear user stories, acceptance criteria, PRDs, and requirements documentation.
- Own and prioritise the product backlog using Jira, Confluence, and Jira Product Discovery .
- Lead UAT, release decisions, and launch readiness.

Scientific & Technical Collaboration

- Act as a bridge between scientific users and technical teams.
- Demonstrate sufficient scientific fluency to engage credibly with stakeholders across omics, genetics, bioinformatics, biological datasets, and scientific data platforms .
- Work closely with software engineering, data engineering, bioinformatics, and computational science teams on technical feasibility and product design.
- Understand APIs, data flows, cloud platforms, data pipelines, databases, integration patterns, and R&D; systems architecture .
- Navigate complex scientific data environments, governance, authentication, security, and compliance requirements.
- Experience with GCP is highly beneficial.

AI & Innovation

- Identify and develop opportunities to apply AI and GenAI to product management, scientific workflows, documentation, prioritisation, and automation.
- Collaborate with technical and client teams to develop practical AI use cases that deliver measurable business value.

Stakeholder & Vendor Management

- Build strong relationships with senior business and scientific stakeholders.
- Manage stakeholder expectations, priorities, dependencies, and conflicting requirements.
- Work effectively across multi-vendor environments and coordinate with external technology partners.
- Present product strategy, progress, and recommendations to senior leadership and governance forums.

What we're looking for

Essential

- 8+ years of product management experience , ideally within technical, data, platform, or scientific products.
- Strong experience with product strategy, roadmap ownership, discovery, prioritisation, and delivery.
- Proven ability to translate complex business, scientific, and technical requirements into clear product requirements.
- Strong stakeholder management, communication, negotiation, and conflict resolution skills.
- Excellent PRD, requirements documentation, and user story writing skills.
- Strong experience with Agile methodologies and hybrid delivery environments .
- Advanced experience with Jira and Confluence .




- Strong technical understanding and experience working closely with engineering, data engineering, or architecture teams.
- Experience with APIs, data platforms, data pipelines, cloud environments, and technical integrations .
- Working knowledge of modern data engineering and databases, including SQL and NoSQL .
- Experience with AI/ML or MLOps environments is highly valuable.
- Experience within pharmaceutical, life sciences, or another regulated environment , ideally including GxP and/or 21 CFR Part 11.
- Strong understanding of scientific research workflows and R&D; systems.
- Ability to effectively bridge communication between scientific users and technical teams.

Nice to have

- Experience with computational biology, bioinformatics, genomics, omics, causal biology, or scientific computing .
- Experience with HPC environments and HPC-to-cloud migrations.
- Knowledge of GCP and cloud architecture.
- Experience with SSO, LDAP, authentication, and enterprise security environments.
- Experience managing large scientific datasets and data movement challenges.
- Experience with product modernisation, portfolio rationalisation, technical debt reduction, or cost optimisation.
- Experience applying AI/GenAI to scientific or R&D; workflows.
- Experience managing external vendors and complex integration dependencies.
- Familiarity with life sciences platforms and vendors such as Schrödinger, Benchling , or similar solutions.

What success looks like You will be successful in this role if you can connect scientific needs with technical possibilities , create a clear product vision, and turn complex requirements into products that deliver measurable value for R&D; users.

You will help improve research workflows, increase product adoption, optimise technology investments, and identify opportunities for innovation and automation.

What We Offer

- Full time permanent contract.
- 27 days of annual leave plus national public holidays.
- 100% remote work with flexible working hours.
- Flexible Compensation Plan covering meals, transport, private healthcare, childcare, and training, with tax-saving benefits.
- Private Health Insurance fully funded by Xebia, including mental health support.
- Wellhub membership with access to wellbeing apps and gym plans.
- Benefits Hub with exclusive employee discounts on a wide range of products and services.
- Paid Wellbeing Leave through our internal time-bank system for medical appointments or short-term health needs.
- Remote Work Allowance (€25/month).
- Referral Program: Compensation between €1,000 - €2,000 if your referral join the team.

📌 Senior Product Manager - Causal Biology (España)
🏢 Xebia
📍 España