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Principal Engineer, AI Ops


San Francisco, CA 94102
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Job Details

Site Name: USA - California - San Francisco
Posted Date: Oct 6 2020

Are you excited about working with bleeding-edge technology and building platforms and systems that have profound global business impacts? If your interests are at the intersection of AI/ML platforms, Data Engineering, Pharma R&D discovery, and working with world-renowned researchers and data scientists, then read on for an exciting new opportunity at GSK!

The Principal Engineer, AI Ops will use modern big data technologies to help accelerate drug discovery at GSK by fulfilling the following critical duties: Work on the flow and supply of data used by GSK's world class scientists and AI/ML engineers, and contribute to a team that will build and operate a knowledge graph to be used as a source of scientific truth by scientists and computational biologists for gene to disease mapping and pharmacological discovery.

The person in this role will maintain the flow of data from source systems (RDBMS, unstructured) into the knowledge graph and other stores, build processes that query the graph, and maintain APIs that serve end scientific users, and maintain and monitor these systems in a secure, mission critical environment.

This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:

  • Build one or more cutting edge AI/ML platforms to serve 1,000s of scientists, bio statisticians, and computational chemists / biologists in R&D
  • Liaise with the rest of R&D Tech and the Core Tech teams to deliver solutions quickly to data scientists on pre-builtplatforms / PaaS
  • Access, source, cleanse, merge, ETL, and possibly re-model data from 1,000s of data sources both internal and external to GSK.
  • Contribute to polyglot data structure architectures including property graph, knowledge graph, relational, object, and inverse index; researching the appropriate data sinks as needed by our customers.
  • Contribute to the team's overall knowledge by attending conferences, meetups, and contributing with new technologies and approaches

Why you?

Basic Qualifications:

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

  • Bachelors degree - Engineering, Mathematics, Statistics, or Computer Science
  • Minimum 5 years as a full-time software engineer with experience in the data engineering domain
  • Expert with JVM languages: Scala and/or Java with a focus on functional programming
  • Minimum 2 years working on big data platforms, preferably Spark
  • Experience with data stores including RDBMS/NoSQL/HDFS/Object store
  • Minimum 3 years deploying solutions on cloud platforms, preferably Azure and GCP
  • Professional DevOps experience: Jenkins, Azure DevOps, CI/CD, Junit, Scalatest
  • Infrastructure as code technologies: Terraform, Ansible, Cloud templates (Azure, GCP)
  • Container technologies: Kubernetes, Helm, Docker
  • Experience maintaining production applications
  • Logging, tracing, and application monitoring
  • Experience building and maintaining APIs

Preferred Qualifications:

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

  • Knowledge and property graph technologies: RDF, RDFS, OWL, SPARQL, Cypher, Tinkerpop, Gremlin, and others
  • Graph algorithm knowledge
  • Streaming data experience with technologies like Apache Kafka
  • Familiarity with life sciences and/or healthcare data models, particularly biomedical and omics data strongly preferred
  • Experience operating in a highly regulated and secure environment

Why GSK?

Our values and expectationsare at the heart of everything we do and form an important part of our culture.

These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:

  • Operating at pace and agile decision-making using evidence and applying judgement to balance pace, rigour and risk.
  • Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
  • Continuously looking for opportunities to learn, build skills and share learning.
  • Sustaining energy and well-being
  • Building strong relationships and collaboration, honest and open conversations.
  • Budgeting and cost-consciousness

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).

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.

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