Research Data Steward Lead

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Site Name: USA - Pennsylvania - Upper Providence, Cambridge 300 Technology Square, London The Stanley Building, San Francisco, Stevenage
Posted Date: Dec 6 2024

The new Data Automation and Predictive Sciences (DAPS) function in Research Tech is focused on harnessing the power of GSK's data-as-an-asset to drive research productivity and unlock our ambitions for patients. As a member of the Research Data Standards & Governance team, the Research Data Steward holds the responsibility for managing the lifecycle of research data operational activities by establishing and maintaining data standards and governance practices, to ensure data quality, accuracy, retention, security and compliance with regulatory requirements. This task is not a one-time event but an ongoing process as data elements evolve and increase.

As research data needs grow, they help define new data types, find new uses for existing data, and adapt to changing data standards and regulations. In response to these changes, data stewards must consistently review and update data definitions and identify new data assets. This ongoing process helps ensure the organization's data's clarity, accuracy, and usefulness.

Key responsibilities for the Research Data Steward Lead include:

• Data Lifecycle Management (ALCOA & FAIR Principles):
  Understanding and experience of managing the full lifecycle of research data, from acquisition to disposal, ensuring that data adheres to the ALCOA principles (Attributable, Legible, Contemporaneous, Original, Accurate, Complete, Consistent, Enduring, and Available). Implementation of the FAIR (Findable, Accessible, Interoperable, Reusable) principles to maximize data reusability and sharing across systems, promoting data integrity and regulatory compliance.
• Data Curation & Structuring:
  Leading development of the appropriate data definitions, working with Scientific Knowledge Engineers and Data Architects to implement the best schemas and ontologies to organize and structure scientific data for optimal usability, ensuring proper classification, labeling, and documentation to support research reproducibility and interoperability.
• Metadata Management:
  Working with SMEs and Onyx to define and maintain comprehensive standardized definitions across both scientific and operational metadata; where possible aligning to industry standards. Ensuring these are implemented in GSK systems and continuously assessed to improve data discoverability, alignment with emerging regulations and standards.
• Governance, Ethics, and Privacy:
  Collaborate with data owners, compliance teams, and business partners to enforce robust data governance policies. Ensure data management practices adhere to ethical standards and comply with privacy regulations (e.g., GDPR, HIPAA) when handling sensitive data, especially human data. Maintain strict compliance with legal and ethical frameworks to protect participant privacy.
• Data Governance & Compliance:
  Define and implement data classification, security, usage, and quality standards in adherence to data governance and compliance policies. Establish data quality checks and collaborate with Data Product Owners (DPO) and subject matter experts to resolve issues as they arise.
• Access Control & Data Registration:
  Working with Onyx to assess and manage new data ingestion/access requests in line with established policies, ensuring appropriate access controls are in place and evolve as needed. Support accurate dataset registration, ensuring the inclusion of minimal metadata to facilitate searchability and access.
• Collaboration and Issue resolution:
  Work closely with SMEs to help define appropriate controls that support business data needs but also align with contractual, compliance, privacy and ethical guidelines. Upon occasions where stakeholders disagree identify, prioritize, and resolve data-related issues in collaboration with cross-functional teams. Ensure a seamless data management process by addressing and mitigating any challenges that arise.
• Continuous Improvement:
  Identify and advocate for improvements in data management, curation, and metadata practices. Contribute to innovation and process optimization, ensuring alignment with regulations that support operational excellence in research.

Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:

• Bachelors degree or equivalent work experience in Science or Data related field.
• 5+ years of experience in biopharmaceutical or life sciences industry.
• Experienced in implementing data governance, data standards and policies e.g. Data Integrity ALCOA and FAIR data standards.
• Experience with at least one programming language (e.g Python) to help in applying techniques such as pre-processing, classification, regression, clustering, dimensionality reduction and model selection.

Preferred Qualifications:
If you have the following characteristics, it would be a plus:

• Exposure to automated testing techniques.
• Familiarity and experience with scientific data standards and ontologies implemented in modern data storage platforms.
• Familiarity and/or experience with concepts related to interoperability, cloud storage platforms and creating integrated data assets from internal generated and externally purchased data.
• Knowledge of data privacy laws and regulations is a plus, contributing to compliance and best practices in data stewardship.
• Knowledge/experience in bioinformatics, cheminformatics, transcriptomics, statistics, image analysis, protein and small molecule structure.
• Change leadership and driving adoption.
• Excellent organizational and analytical skills, with keen attention to detail and the ability to manage multiple priorities. Can consistently take a poorly defined problem, work it to a well-defined problem/specification and execute on it at a high level. Consistently deliver major solutions with cross-organizational impact.
• Strong communication skills to effectively liaise with both technical and non-technical stakeholders, ensuring clarity and understanding. Embraces a global and matrixed team-based culture.

Why GSK?
GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive.

GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.