Careers

Would you like to be a part of a Data Science & Artificial Intelligence (DS&AI) group that has direct strategic impact on drug development, playing a key role in getting medicines to patients?

The DS&AI team collaborates across R&D to drive innovation through data science and AI. Together we seek to:

• Improve our understanding of disease and uncovering new targets
• Transform R&D processes
• Speed the design and delivery of new medicines for patients

The R&D Data Office operates a central capability, with R&D wide accountability, to ensure that we harness the power of data to drive innovative science. Data Office will govern data, drive data quality and ensure our data is readied for analytics, creating paved-paths for scientists to perform data-driven research, without compromising our legal restrictions or ethical principles.

Sustainable, FAIR (Findable, Accessible, Interoperable & Reusable) data is the lifeblood of a science-led, pharmaceutical company and critical for the delivery of our corporate strategy, in which Data, AI and Digital is a foundational value driver for Innovative Science and a potential corporate differentiator.

In this role you will be accountable for designing and implementing a data curation and harmonization strategy that adds value to data and aids the insight development process.

Typical Accountabilities

• Consult with teams to collate and assess data and insight generation needs to develop and implement a data curation and harmonization strategy
• Design efficient processes and specifications at a data asset level for:
• Curation of datasets, derived data points etc. from data assets
• Generation of pooled data sets
• Generation of linked data sets
• Data quality assessment & QC processes
• Provide curation-related domain expertise to enable novel use of data for analytics and insight generation projects
• Analyze data standards-related current-state information for data assets captured by the Data Discovery team to inform data curation needs
• Assess data quality of data assets and design data qc and curation processes for implementation

We are seeking a Metadata Specialist to join our (CDAT) Core Digital Applications Team to both manage the day-to-day administration and maintenance of the IB’s metadata records, and to contribute to the strategic metadata vision of the organization.

As Metadata Specialist, you will develop and implement metadata processes for the organization and help guide the creation of a new metadata model within our in-progress ECMS.

The person in this role will advise project/product teams by assisting in the gathering and articulation of metadata requirements, planning testing of metadata in systems, and training staff to create and manage metadata in systems or to support products.

You will play a key role in enterprise systems development by supplying the essential metadata specifications and data structures to third party software developers that enable systems to efficiently and consistently manage content.

You will partner with our content-creating departments to advise, train and support staff members who interact with metadata as a part of the content creation or content management process as well as advise on matters of metadata policy and proper uses of metadata models as well as work closely with IT, vendor partners, and contracted staff to implement metadata models, processes, and systems and be able to exert considerable influence over staff participating in metadata workflows.

Job responsibilities:

• Metadata upkeep and improvement
• Maintain and administer the principles and rules of the IB Metadata Application Profile and all metadata technical standards by accepting, rejecting, or correcting metadata records created in DSpace
• Update vocabularies in Lexaurus when required by the business
• Contribute to the strategic plan for metadata
• Assist in the production of policies and governance documents
• Partner with IT (and vendors as necessary) to implement metadata requirements in systems, or to communicate the requirements correctly to third parties
• Ensure that well-modelled metadata is used in content producing departments to enable content efficiency and consistency
• Arrange and participate in testing of systems

Project manage fundamental data discovery and curation for field services

Develop strong relationships with principal business and functional stakeholders to execute data synergies and simplification driving business performance, process efficiency, and team engagement

Partner with principal business and IT stakeholders to discover, curate, and harmonize data across vital platforms

Act as the functional owner for critical data curation engagements within a large matrixed organization

Drive execution of projects and initiatives for the organization (i.e., data curation & master data management)

Align and strengthen data quality & governance program for the organization (i.e., policy compliance, data stewardship operations, data audit activities)

Develop data definitions (data dictionary, taxonomies) and own maintenance through ongoing engagement with data domain owners, data stewards, and master data managers

Multi-faceted role with responsibilities that will evolve to align to current business objectives

Qualifications:

• Ability to swiftly discover, understand, relate, document, and educate end-to-end flow of data – (i.e., source systems, data integration layers, third party enrichment, consolidation, analytics, and reporting platforms)
• Capacity to interrelate data across many platforms to drive curation execution
• Strong track record of cross-functional project delivery – (management of project timeline, stakeholder engagement, and prioritizing objectives)
• Prior experience leading large-scale execution-focused projects with highly matrixed global teams
• Working knowledge of SAP ERP and other core enterprise business applications and related processes (i.e. CRM)
• Working knowledge of data curation and Master Data Management tools
• Capacity to quickly gain a technical understanding of new systems and technology
• Demonstrated ability to translate business vision into tactical execution

In this role you will be accountable for designing and implementing a data curation and harmonization strategy that adds value to data and aids the insight development process.

You will work closely with scientists, external collaborators, and contract research organizations to help store and provide access to large, complex, and diverse biological datasets.

You will develop schemas to accurately capture and document experimental results and methods at an appropriate technical level. You will advise and assist scientists and data scientists in best practices for biological metadata management.

You must be able to learn and work independently, yet collaborate well with coworkers and share their passion to advance the company’s quest to understand disease.

Responsibilities:

• Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets
• Work with software & information technology teams to specify, design, and implement the infrastructure for storing, searching, visualizing and integrating experimental datasets
• Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards
• Assist labs in data and metadata submission
• Write scripts to submit and verify data and metadata
• Track the flow of data within ETL and analysis pipelines, ensuring successful processing and data validity