Lead AI/ML Engineers - Biomedical AI (m/f/d)

le contenu du travail

Site Name: Heidelberg - Office
Posted Date: May 10 2021

At GSK, we are actively working on building a future in which Artificial Intelligence (AI) and Machine Learning (ML) will enable us to develop new therapies and personalized drugs that drive better outcomes for patients at reduced cost with fewer side effects. It is an ambitious goal that requires the research and development of solutions at the cutting edge of biomedical Machine Learning and AI. If this excites you, we would love to chat.

To help us make this future a reality, we are looking for highly accomplished Lead Artificial Intelligence and Machine Learning Engineersthat have an extensive track record of delivering state-of-the-art machine learning models for solving challenging real-world scientific problems in production environments. Lead AI/ML Engineers at GSK are top scientists and engineers with in-depth knowledge in modern machine learning, a keen interest in making a positive impact in healthcare, extensive experience in engineering software solutions at scale, and an established history of leading projects and mentoring colleagues.

To strengthen our team in Europe, we are looking for skilled Lead Artificial Intelligence and Machine Learning Engineersthat will drive the development of state-of-the-art biomedical AI algorithms. This role will be focused on researching, designing, implementing, and delivering cutting-edge prediction models across a range of challenging biomedical tasks using state-of-the-art high-performance computing facilities and the vast and detailed biomedical data sources available at GSK.

The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives.

You Will

• Take ownership of, design and implement AI/ML-driven solutions along the entire model development life cycle.
• Research and develop state-of-the-art machine learning models, including deep learning models, to optimize model performance on a range of biomedical prediction tasks.
• Deliver robust, tested and performant code, services and products in an agile environment.
• Independently lead AIML projects, mentor colleagues and consistently improve best practices for robust and scalable machine learning engineering.
• Lead early project definition and scoping together with domain experts across the company.
• Liaise with experts in biology, medicine and experimentation to ensure optimal collection of data to train biomedical machine learning models.
  
  

We Are Looking For

• Masters or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others); OR equivalent additional work experience delivering state-of-the-art AI/ML solutions.
• 5+ years of experience in AI/ML engineering with an established track record of successful delivery of state-of-the-art AI/ML solutions.
• A highly accomplished and established track record successfully delivering AIML-powered solutions at scale and the highest quality for multiple products.
• Expert knowledge, including an understanding of the inner workings, of at least one major deep learning framework (PyTorch, TensorFlow).
• Deep familiarity with machine learning literature, foundational mathematics and statistics, and state-of-the-art modelling approaches.
• Deep knowledge of model validation and robustness, including an in-depth understanding of assumptions and weaknesses behind standard approaches to evaluating machine learning models.
• Extensive experience in designing, developing and delivering robust commercial AIML software solutions, including demonstrated advanced programming expertise in Python.
• Expert knowledge of software engineering and machine learning best practices across the entire development stack, including version control, continuous integration (CI) and continuous development (CD), containerization, High Performance Computing (HPC), and shell scripting.
• Proven ability to mentor, coach, and lead colleagues.
• Background or interest in biology or medicine is a plus but not required.
• Fluency in English. Knowledge of German is not required for this position.
  
  

In Addition, It Would Be Nice If You Bring

• Contributions to relevant open-source projects.
• Multiple relevant first- and/or last-author scientific publications in top AI/ML (NeurIPS, ICML, ICLR, AAAI, among others), computational biology or bioinformatics venues.
• 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)
  
  

#GSKAIML2021

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