AI/ML Engineer - Phenomics

GlaxoSmithKline • San Francisco, CA

107d • $136,125 - $226,875

About The Position

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. It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. To help us make this future a reality, we are looking for AI/ML Engineers with a track record in developing and validating state-of-the-art machine learning models for solving challenging real-world scientific problems. AI/ML Engineers at GSK are outstanding scientists and engineers with in-depth knowledge in modern machine learning and a keen interest in making a positive impact in healthcare. You will be joining the AI/ML Phenomics Team to apply cutting-edge machine learning and AI methodologies to generate insights from multi-modal high-content data modalities. This ranges from spatial transcriptomics of proprietary patient cohorts to high-dimensional imaging and multi-omics readouts of high-throughput genetic and chemical perturbation screens in in vitro cellular systems.

Requirements

• PhD or master's in computer science, engineering, applied mathematics, machine learning, or equivalent practical experience.
• 2+ years of experience in cell imaging.
• 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.

Nice To Haves

• 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.

Responsibilities

• Carry out 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.

Benefits

• Health care and other insurance benefits (for employee and family)
• Retirement benefits
• Paid holidays
• Vacation
• Paid caregiver/parental and medical leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Chemical Manufacturing
• Education Level: Ph.D. or professional degree