Director, AI/ML Engineering

4 weeks ago

Pu Dong Xin Qu, China 10287 GlaxoSmithKline (China) R&D Company Limited Full time
Transformative Medicine and AI/ML Engineering

At GSK, we envision a future where advanced applications of Machine Learning and AI revolutionize the development of transformational medicines, leveraging the power of genetics, functional genomics, and machine learning. Our AI/ML group, spanning locations in London, San Francisco, Boston, Philadelphia, Tel Aviv, and Heidelberg, focuses on developing and applying machine learning to critical problems in our business. We are now establishing an AI/ML team in China to bring cutting-edge solutions to real-world challenges in the healthcare domain.

Key Responsibilities
  • Design, implement, and own AI/ML-driven solutions across the model development life cycle.
  • Research and develop state-of-the-art machine learning models, including deep learning, for biomedical prediction tasks.
  • Deliver robust, tested, and performant code in an agile environment.
  • Lead early project definition and scoping with domain experts.
  • Collaborate with experts in biology, medicine, and experimentation to optimize data collection for training biomedical ML models.
  • Develop and embed automated processes for predictive model validation, deployment, and implementation.
  • Deploy your algorithms to production to identify actionable insights from large databases.
  • Lead collaborations with external and internal stakeholders.
  • Lead a team of engineers and collaborate with AI/ML engineers across the globe.
Requirements
  • A minimum of a master's degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field.
  • 4+ years industry experience in machine learning engineering.
  • Extensive experience in Python programming and knowledge in machine learning and statistics.
  • Demonstrated proficiency working with clinical trial data in an academic or professional setting.
  • Familiarity with at least one Deep Learning framework such as TensorFlow, Keras, or PyTorch.
  • Proven ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices.
  • Ability to work both autonomously and collaboratively on complex projects.
  • A track record of team and project leadership.
Preferred Qualifications
  • A PhD in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field.
  • Academic or industry experience in the biomedical sciences, especially in respiratory diseases.
  • Prior experience working in clinical trials.
  • Experience with real-world evidence.
  • Expertise developing machine learning models within the PyTorch framework.
  • Experience with theory and applications in software engineering; training and operating algorithms at scale; production deployment of ML services.
  • Ability to digest, synthesize, and implement innovative methods from scientific literature.
Why GSK?

GSK is a global biopharma company with a special purpose – to unite science, technology, and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/immunology, and oncology).

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