Lead Software Engineer for AI/ML (m/f/d)

工作内容

Site Name: Heidelberg - Office

Posted Date: Aug 17 2021

Lead Software Engineer for AI/ML

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. We are aiming to develop companion software for every future GSK medicine. If that excites you, we’d love to chat.

To help us make this future a reality, we are looking for Software Engineers that have a track record in developing production grade AI-powered software solutions. Software Engineers at GSK are outstanding engineers with in-depth knowledge in modern software craftsmanship practices and a keen interest in making a positive impact in healthcare.

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.

You Will

• Design and implement AI-powered software solutions across the entire software development life cycle, including product and user research, requirements engineering, software architecture design, implementation, testing, integration, and maintenance.
• Fully integrated with AI/ML engineers to lead, design, and implement well decoupled, modularized, reusable, and scalable deep learning training and inference pipelines.
• Work closely with experts in biology and clinical teams to ensure fit-for-purpose user interfaces and data pipelines.
• Deliver robust, fully tested and performant code that can be deployed as class III medical devices (software as medical devices)
• Lead and coach AI/ML engineers for best software engineering practice.
  

We Are Looking For

• 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 of experiences in commercial software development.
• Demonstrated advanced programming expertise in Python and/or C++ and in developing and delivering robust software solutions.
• Expert knowledge of modern software development tools and practices (agile frameworks).
• Understanding of at least one major deep learning framework (PyTorch, TensorFlow).
• Strong knowledge of software engineering best practices, including continuous integration (CI) and continuous deployment (CD), containerization, and shell scripting.
• Background or interest in biology or medicine is a plus but not required.
  

In Addition, It Would Be Nice If You Bring

• Basic familiarity with machine learning principles and state-of-the-art modelling approaches.
• Contributions to relevant open-source projects.
• Knowledge or interest in disease biology, molecular biology and medicine.
• Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images)
  

Why GSK?

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

As GSK Focuses On Our Values And Expectations And a Culture Of Innovation, Performance, And Trust, The Successful Candidate Will Demonstrate The Following Capabilities

These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork.

• Agile and distributed decision-making – using evidence and applying judgement to balance pace, rigor and risk
• Managing individual and team performance.
• Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
• Implementing change initiatives and leading change.
• Sustaining energy and well-being, building resilience in teams.
• Continuously looking for opportunities to learn, build skills and share learning both internally and externally.
• Developing people and building a talent pipeline.
• Translating strategy into action - a compelling narrative, motivating others, setting objectives and delegation.
• Building strong relationships and collaboration, managing trusted stakeholder relationships internally and externally.
• Budgeting and forecasting, commercial and financial acumen.
  

#GSKAIML2021

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