AI/ML Software Engineer, Biomedical AI
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Job description
At GSK, we are actively working on building a future in which state-of-the-art software, 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 development of data-driven solutions at the cutting edge of Software Engineering, Automation, Biomedicine, 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 Software Engineers that have a track record in developing production grade data-driven 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., You will:
- Design and implement data-driven software solutions along the entire software development life cycle, including requirements engineering, software design, implementation, testing, integration and maintenance.
- Deliver robust, tested and performant code in an agile development environment.
- Design and implement sophisticated machine learning and deep learning pipelines that can handle large amounts of data in cluster settings and cloud environments.
- Liaise with experts in biology, medicine and experimentation to ensure fit-for-purpose programming interfaces and data pipelines for data-driven software projects.
Requirements
- 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.
- Demonstrated advanced programming expertise in Python and in developing and delivering robust software solutions.
- Passion for software design and commitment to the development of reusable, scalable, and testable software components
- Basic understanding of at least one major deep learning framework (PyTorch, TensorFlow).
- Knowledge of command-line tools and shell scripting.
- Knowledge of software engineering best practices, including continuous integration (CI) and continuous deployment (CD), and containerization.
- Strong problem-solving and debugging skills, and experience working in a cluster setting or in a cloud-based environment.
- 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.
Preferred Qualifications
In addition, it would be nice if you bring:
- Experience in design, development and deployment of commercial data-driven software.
- Basic familiarity with machine learning principles and state-of-the-art modelling approaches.
- Experience in architecting, developing, and deploying distributed model-training pipelines with Pytorch or Tensorflow
- 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)