> Markdown version of [/jobs/ext/4270524-lab-data-manager](https://www.wearedevelopers.com/jobs/ext/4270524-lab-data-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lab Data Manager - **Company:** Glaxosmithkline PLC - **Location:** Middlesex County, MA, United States - **Experience:** Expert - **Salary:** $119,625.0 - $199,375.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Computer Literacy, Data Mining, System Testing, Data Strategy, Data Management - **Published:** October 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c753c0b84ebe1e7f ## About the Role We are looking for professionals with these required skills to achieve our goals: * Degree in Life science, engineering or equivalent experience * 5+ years experience in Laboratory Knowledge in data management * Experience in Project management and change management Preferred Qualifications: If you have the following characteristics, it would be a plus: * Experience in dealing and working in Regulated Environments * Good communication skills: influencing and coaching/mentoring skills to deal with multiple departments (IT, QA, Business) * Strong analytical mindset to quickly assimilate facts and data and develop an understanding of complex matters in order to synthesize a story into a (cost-)effective solution or an actionable set of recommendations * Good interpersonal and influencing skills allowing to interact at all levels of the organization * Ability to manage risks, define risk-based strategies. * Ability to challenge and debate issues. * Ability to quickly assimilate facts and data and develop an understanding of complex matters. * Assesses needs & constraints and converts these into a realistic solution * Is resourceful on innovation opportunities in the area of expertise * Project management and change management Skills Artificial Intelligence (AI), Business Analysis, Data Analysis, Data Mining, Digital Fluency, Organization Transformation, Product Development, Project Management, Security System Design ## Description * The Lab Data manager will be responsible for delivering fit-for-purpose scientific data management solutions for R&D * Contributes to designing/defining solutions to make lab data secure & ready for reuse through (meta)data standard format, storage and archiving management. * Contributes to a smart risk-taking approach and capturing best opportunities linked to Lab Data concerns. * You will work in partnership with a broad range of stakeholder groups such as Quality, Computer System Validation, Tech, Procurement and R&D scientific platforms to foster Innovation and proactively define standards, identify cost saving opportunities and accelerate generation of scientific results * Lead Data management project E2E to bring the best value for R&D users or participate to large R&D transversal data management project, This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following: * As an expert in the field of Lab data management and DDA, provides effective and inspiring guidance in term of Lab data management to the team, group, as well as towards R&D customers * Defines responsibilities and allocates resources to the different projects taking into account the departmental priorities & ensure performance management providing oversight through performance metrics and adapted governance * Ensure the training/coaching of MyLabData user: leverage & share MLD expertise and ensure the testing of new release of MyLabdata * Analyse Business needs, formalize into detailed use cases (e.g.: Propose & test new complex equipment data strategy (e.g. NGS)) and propose data solution strategy in partnership with key stakeholders (e.g.: Tech) * Challenge WoW and traditional thinking concerning Lab Data management in a smart risk-taking approach to improve quality & performance * Develop and maintain the archiving strategy and associated guidance for electronic lab data * Actively participate to the definition or revision of data management global standard (e.g.: Data Management GSOP) * Ensure respect of quality standards within the team (e- Change Control, CAPA, deviations) * Actively interact with a broad range of stakeholders, with focus on value creation/demonstration and smart risk taking * Drive continuous improvement by assessing current technical solutions and overall performance. Identify alternative solutions and recommend these to senior stakeholders in a comprehensive and engaging manner