Data Engineer

We are looking for a Software Engineer/Data Engineer who will join our team to develop solutions for collecting, storing, processing, and analyzing huge sets of small molecule-protein interaction data. The primary focus of this job will be on choosing methods to use for these purposes, then implementing, maintaining, and monitoring these solutions over their full life cycle. You will also be responsible for integrating these methods with the information architecture used across the company.

The role provides an exciting opportunity to transform our data collection and storage infrastructure. You will be embedded in the Encoded Library Technology (ELT)* Scientific Computing team, working with biologists, chemists and data scientists who are passionate about advancing the ELT technology. You will also have opportunity to interface and collaborate with analysts and engineers in the GSK AI/ML groups, R&D infrastructure, and computational chemistry/biology teams.

Key Responsibilities

• Selecting and integrating in-house software packages with Big Data tools and frameworks.
  
• Creating and maintaining custom software solutions for the analysis of affinity selection results.
  
• Implementing Extract Transform Load (ETL) process for Encoded Library Technology assay data.
  
• Monitoring performance and advising any necessary infrastructure changes.
  

Why you?

Basic Qualifications:

• BS/MS in Computer Science, Analytics or similar discipline.
  
• 8+ years professional software engineering experience.
  
• Experience with Linux and Python programming.
  
• Experience analyzing biological, chemical or ‘omics (i.e. RNA-Seq, DNA-Seq, etc.) data.
  

Preferred Qualifications:

• Experience implementing and maintaining data or analytic pipelines.
  
• Experience delivering software and data solutions using Agile and DevOps methodologies and concepts. (i.e. Scrum, Kanban, etc.)
  
• Experience with enterprise-level data solutions including big-data technologies. (i.e. Hadoop, MapReduce, Impala, Hive and Spark)
  
• Experience with analyzing biological, chemical or ‘omics (i.e. RNA-Seq, DNA-Seq, etc.) data.
  
• Demonstrated ability to translate data requirements between bench scientists and data/IT professionals.
  
• Strong interpersonal skills and ability to communicate complex concepts to stake holders with wide range of expertise.
  

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.

*For a recent review of ELT at GSK see: Arico-Muendel, C. C. From haystack to needle: finding value with DNA encoded library technology at GSK. MedChemComm 2016, DOI: 10. 1039/c6md00341a

https://pubs.rsc.org/en/content/articlelanding/2016/md/c6md00341a

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