Scientific Knowledge Engineer II - Military Veterans

At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines.

We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:

• Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics"


• Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent


• Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time.

The Scientific Knowledge Engineering team, which sits within the Onyx Product Management organization, is responsible for the data modeling, ontology definition and management, vocabulary mapping, and other key metadata activities that ensure Onyx platforms and data assets speak scientific language. They are a core factor in delivering the GSK R&D Knowledge Graph - the semantic layer that connects all of our data and metadata systems - as well as the core metadata experiences that ultimately allow us to build products and services that both delight our customers and enable impressive automation and intelligence.

For this specific role, GSK is looking for biologists that have demonstrated experience working with genomics data and business analysis.

This role is responsible for maximizing the value of our data assets over a lifetime to bring purpose to data by acting as translators of highly technical information from domain experts into an appropriate data model - complete with significant ontology and vocabulary -- that can be utilized to effectively structure and index the data. Specifically working with Product managers and R&D subject matter expertise to define the language (data models, ontology, standards, etc.) of science into data products by acting as the voice of "Knowledgebase" and interoperability/value of asset. This includes responsibility for the understanding and translation of computational methods back through the data chain to maximize the quality and speed of data from source to drive experimental multi-variant analysis and data driven decision-making.

In this role you will

• Definition of schemas and data models of scientific information required for the creation of value adding data products. This includes accountability for the quality control and mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling.


• Accountable for the quality control (through validation and verification) of mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling - e.g., models, schemas, controlled vocab.


• Working with Product managers/engineers confidently convert business need into defined deliverable business requirements to enable the integration of large-scale biology data to predict, model, and stabilize therapeutically relevant protein complex and antigen conformations for drug and vaccine discovery.


• Collaborate with external groups to align GSK data standards with industry/ academic ontologies ensuring that data standards are defined with usage/analytics in mind. They may also provide data source profiling and advisory consultancy to R&D outside of Onyx.


• Support effective ingestion of data by GSK through understanding the entry requirements required by platform engineering teams and ensuring that the "barrier for entry" is met e.g.. Scientific information has the appropriate metadata to be indexed, structured, integrated and standardized as needed. This may require articulation of GSK engineering standards and metadata information needs to third parties to ensure efficient and automate ingestion at scale.


• Provides bespoke subject matter expertise for R&D data to translate deep science into data for actionable insights.

Why you?

Qualifications & Skills:

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

• Bachelor's degree in Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science (with a life sciences application focus)


• Genomic data and business analysis experience with an established track record of delivery


• Demonstrated comfort operating and leading across organizational boundaries on a matrixed team


• Experience with industry standard data management / metadata platforms e.g. Collibra, Datahub, Datum, Informatica


• Experience using industry standard data quality tools e.g. Ataccama, Informatica, Talend, OpenRefine)


• Experience with industry standard tools for building data protocols e.g. Avro, Protocol Buffers, Thrift


• Experience with open-source ontology tools, data formats, languages (Protégé, SPARQL, OWL, SKOS, SHACL, RML)


• Specific experience with Knowledge Graph efforts

Preferred Qualifications & Skills:

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

• Master's degree in Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science (with a life sciences application focus)


• Membership of industry committee, board, consortium, or data standards group


• Participation in peer-reviewed research (both publication and review), particularly in genetics and/or bioinformatics


• Experience with at least one programming language - e.g. Python - for scripting vocabulary mappings, building data models, etc

Closing Date for Applications: Wednesday 17th July 2024 (COB)

Please take a copy of the Job Description, as this will not be available post closure of the advert.
When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process.

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