Senior Project Manager
15 hours ago
A Coruña
pbAbout us /b /ppFor 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. /ppAt 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. /ppbr/ppbPosition Summary /b /ppWe are seeking a highly accomplished Senior Project Manager to lead and coordinate complex, multi-disciplinary research initiatives at the intersection of structural biology and AI-powered drug discovery. The successful candidate will possess deep scientific literacy in protein structure, molecular biology, and computational chemistry, alongside proven expertise operating Insilicode's suite of in silico tools for drug design and target analysis. /ppIn this pivotal role, you will serve as the strategic link between experimental biology teams, computational scientists, data engineers, and executive leadership — driving projects from target identification through to preclinical candidate selection with efficiency, clarity, and scientific rigor. /ppbr/ppbKey Responsibilities /b /ppbProject Leadership Strategy /b /pulliOwn the end-to-end project lifecycle for structural biology and computational drug discovery programs, from scoping and planning through delivery and handoff. /liliDefine project milestones, critical paths, and resource requirements in collaboration with scientific leads, ensuring alignment with organizational goals. /liliFacilitate cross-functional team meetings, scientific reviews, and stakeholder updates, distilling complex findings into actionable decisions. /liliProactively identify risks — scientific, operational, and technical — and develop mitigation strategies to maintain program momentum. /li /ulpbInsilicode Platform In Silico Workflows /b /pulliServe as a power user and internal champion of Insilicode, configuring and managing virtual screening campaigns, molecular docking workflows, ADMET prediction pipelines, and structure-based design studies. /liliCoordinate with IT and data teams to ensure Insilicode environments are correctly provisioned, integrated with internal data systems, and kept up to date. /liliTrain and onboard scientists in Insilicode best practices; develop SOPs and workflow documentation for reproducible in silico research. /liliEvaluate and interpret Insilicode outputs in the context of experimental data, communicating insights clearly to both scientific and non-scientific audiences. /li /ulpbStructural Biology Coordination /b /pulliWork closely with X-ray crystallography, cryo-EM, and NMR teams to align structural data generation timelines with downstream computational analyses. /liliOversee structure determination workflows, PDB deposition processes, and integration of resolved protein structures into Insilicode platforms. /liliManage relationships with CROs and academic collaborators providing structural biology services, ensuring data quality, timeliness, and contractual compliance. /liliChampion the integration of structural insights into hit-to-lead and lead optimization programs, translating 3D structural data into medicinal chemistry hypotheses. /li /ulpbStakeholder Management Reporting /b /pulliPrepare and present project status reports, milestone summaries, and scientific readouts to senior leadership, board members, and external partners. /liliMaintain comprehensive project documentation using LIMS, ELN, and project management platforms (e.g., Jira, Smartsheet, Microsoft Project). /liliPartner with business development teams to support due diligence processes, licensing discussions, and grant applications with scientific and technical documentation. /li /ulpbr/ppbRequired Qualifications /b /pulliPh.D. or Master's degree in Structural Biology, Biochemistry, Biophysics, Computational Chemistry, or a closely related discipline. /lili7+ years of experience in pharmaceutical, biotech, or academic research settings, with at least 3 years in a dedicated project management capacity. /liliDemonstrated, hands-on experience using Insilicode for drug discovery applications (virtual screening, structure-based drug design, ADMET modeling, or equivalent in silico platforms). /liliStrong foundational knowledge of structural biology techniques including X-ray crystallography, cryo-EM, homology modeling, and protein-ligand interaction analysis. /liliProficiency in interpreting molecular dynamics simulations, docking scores, pharmacophore models, and SAR data within a project context. /liliProven ability to manage multiple concurrent projects, balance competing priorities, and deliver results on time and within budget. /liliExcellent communication skills — written and oral — with the ability to translate scientific complexity into clear, compelling narratives. /liliPMP certification or equivalent project management qualification is strongly preferred. /li /ulpbr/ppbPreferred Qualifications /b /pulliExperience with additional computational platforms such as Schrödinger Suite, MOE, OpenEye, or GROMACS. /liliFamiliarity with machine learning applications in drug discovery, including AI-guided de novo design or generative chemistry tools. /liliBackground in target classes with significant structural biology focus (e.g., kinases, GPCRs, proteases, protein-protein interactions). /liliExperience coordinating CRO partnerships and managing external scientific collaborations. /liliWorking knowledge of bioinformatics pipelines and data management standards in drug discovery (e.g., FAIR data principles, ontologies). /li /ul
