Sr. Software Engineer - Sequence Learning

Site Name: USA - California - San Francisco, UK - London - Brentford Posted Date: Oct 7 2021 At GSK we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AI/ML Sequence Learning Team applies machine learning and AI methods to biological sequence (DNA, RNA, protein) data from large-scale human genetic, functional genomic, and single-cell experiments. Models operating directly on sequence data that can infer how variants alter protein/RNA abundance, structure, and function have the potential to be transformative in drug discovery, empowering us to find new life-saving medicines. We are looking for a Senior Software Engineer with a track record of developing production-grade AI-powered software solutions and in-depth knowledge of modern software engineering best practices. This important role will be central in allowing us to scale our modeling efforts and build out an ecosystem of services that will support advanced sequence modeling efforts within the AI/ML team and across GSK. The candidate should be comfortable being fully accountable for the software engineering component of complex technical products. A background in genetics is not a requirement, but the ability to engage effectively with AI/ML and genetics subject matter experts will be an important part of the role. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. As a Senior Software Engineer for the AI/ML Sequence Learning Team you will: Lead the hands-on development of AI-powered services, taking responsibility for requirements engineering, software architecture design, implementation, testing, integration, maintenance, and documentation. Collaborate with AI/ML experts to develop modular, reusable, and scalable deep learning library components for training and inference pipelines. Liaise with end-users to ensure fit-for-purpose programming interfaces. Work closely with AI/ML Platform Engineers to construct software solutions that are compatible with existing AI/ML infrastructure. Mentor/coach AI/ML Engineers in software engineering best practices. Deliver robust, tested, and performant code in an agile development environment. Exhibit excellent project management and communication skills, taking ownership and working transparently. Basic Qualifications: A degree in a quantitative or engineering discipline (e.g. Computer Science, Computational Biology, Bioinformatics, Engineering, among others); OR equivalent work experience as a professional software engineer 5+ years experience of professional software development practices: code standards, code review, source control, CI/CD, testing, documentation, Agile, with the ability to mentor others in these practices Proven experience with Python programming and a track record of delivering robust software solutions Preferred Qualifications Familiarity with machine learning principles and state-of-the-art modeling approaches 2+ years recent applied experience with major deep learning frameworks (PyTorch, TensorFlow) Contributions to open-source projects Background in genetics or molecular biology Experience working with biological sequence data (e.g. genomics, transcriptomics, proteomics) Experience with common bioinformatics tools (e.g. samtools) Why GSK? Our values and expectations are 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 judgment to balance pace, rigor, 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. 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