AI/ML Engineer

1 week ago


Cambridge, Massachusetts, United States GSK Full time
About the Role

We are seeking a highly skilled AI/ML Engineer to join our team at GSK. As a key member of our AI/ML Phenomics Team, you will apply cutting-edge machine learning and AI methodologies to generate insights from multi-modal high-content data modalities.

Key Responsibilities
  • Conduct product-driven research on novel machine learning methods to analyze terabytes of internal multi-modal high-content data.
  • Design approaches to deconvolve real biological signals from confounding effects that are inherent in high-throughput biological data.
  • Leverage internal high performance computing cluster and cloud compute to train and productionize our models at scale.
  • Work closely with domain experts on cross-disciplinary teams to generate actionable insights that impact target identification, hit identification, and safety testing.
  • Contribute to our developing codebase with well-tested, production-ready code.
Requirements

We are looking for professionals with the following required skills:

  • Graduate studies in computer science, engineering, applied mathematics, machine learning, or equivalent practical experience.
  • 2+ years of experience in machine learning and software engineering best practices.
  • 2+ years of experience with working in a collaborative CI/CD software development environment, including use of git.
  • 2+ years of experience with developing, implementing, and training deep learning models with PyTorch, Tensorflow, or other deep learning frameworks.
Preferred Qualifications

If you have the following characteristics, it would be a plus:

  • Experience working with high-content imaging and diverse multi-omics.
  • Knowledge in disease biology, molecular biology, and biochemistry.
  • Track record of writing software in a team in industrial environments or open-source projects.
  • Track record of projects or peer-reviewed publications at the intersection of machine learning and life sciences.
  • Mentality of commit early and often, metrics before models, and shipping high quality production code.
About GSK

GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together. 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).

We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing.


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