Senior Project Manager BioTuring and BechSci

About us

For more than 20 years, our global 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 5500+ 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.

About the Role We’re looking for a

Senior Project Manager

to lead cross‑functional R&D programs from discovery through preclinical/early clinical milestones. You’ll partner with scientists, data teams, and external collaborators to plan and deliver workstreams, proactively manage risk, and translate complex scientific objectives into executable project plans.

Experience leveraging BioTuring (e.g., BBrowser) and BenchSci (AI‑assisted antibody/experiment selection) is essential

to accelerate decision‑making and improve experimental design quality.

Key Responsibilities Program Leadership:

Drive end-to-end planning, execution, and delivery of multi‑phase R&D projects; maintain integrated timelines, budgets, and scope; manage dependencies across discovery, preclinical, and translational teams. Data‑Driven Decision Support:

Use

BioTuring

to synthesize single‑cell/omics insights (e.g., target validation, biomarker hypotheses) and

BenchSci

to optimize experimental plans (e.g., reagent selection, literature evidence), integrating outputs into project charters and decision logs. Stakeholder Management:

Facilitate cross‑functional working groups (Biology, Chemistry, Bioinformatics, Translational, Clinical Ops, Legal, Finance, Procurement, Quality). Align teams on milestones, risks, and success criteria. Risk & Issue Management:

Build and maintain RAID logs; run scenario planning and mitigation strategies; escalate critical path issues with clear, solution‑oriented options. Governance & Reporting:

Prepare materials for governance forums; deliver concise status updates, dashboards, and readouts for executive audiences. Budget & Vendor Oversight:

Track burn rates; manage SOWs and vendor performance (CROs, data/platform providers); ensure compliance with internal quality and data governance standards. Process Excellence:

Champion PMO best practices (stage gates, change control, lessons learned); drive continuous improvement and knowledge management. Enablement & Training:

Upskill project teams on effective use of BioTuring and BenchSci; develop quick‑start guides and SOPs for consistent, high‑impact use.

Qualifications Required 7–10+ years of progressive project/program management experience within biotech, pharma, or life‑science tech; strong foundation in discovery or translational R&D. Demonstrated,

hands‑on experience with BioTuring

(e.g., BBrowser for single‑cell analysis, dataset integration/annotation, cohort exploration) applied to project decisions. Demonstrated,

hands‑on experience with BenchSci

(e.g., AI‑assisted antibody selection, experimental design insights, literature evidence mapping) embedded in planning and trial‑readiness workflows. Proven track record driving complex, cross‑functional projects to milestone delivery (IND‑enabling studies, target triage, biomarker strategy, or platform validation). Mastery of core PM skills: WBS, critical path, integrated schedules, cost management, risk mitigation, change control, and stakeholder engagement. Strong communication: able to translate scientific complexity into executive‑ready updates and actionable work plans. Proficiency with project tools (e.g., Smartsheet/MS Project/Jira), collaboration suites (M365), and data visualization (Power BI/Tableau). Preferred Advanced degree in life sciences (MS/PhD)

or

MBA with strong scientific literacy. Experience in single‑cell/omics data environments, target discovery pipelines, or translational biomarker programs. Familiarity with validated systems (GxP context), data governance, and privacy/compliance in R&D. Certification: PMP, PgMP, or PRINCE2. Behavioral Competencies Strategic systems thinker with bias for action. Empathetic communicator who builds trust across scientific and business stakeholders. Comfortable with ambiguity; strong problem‑solving and prioritization. Continuous improvement mindset and ownership mentality.