Machine Learning Engineer - Oligonucleotide Therapeutics - US

$130,900 - $177,100/Yr

Disability Solutions - San Francisco, CA

Full-time - Entry Level

San Francisco, CA

Administrative and Support Services

About the position

At GSK, we envision a future where advanced applications of Machine Learning (ML) and Artificial Intelligence (AI) enable the development of innovative therapies for existing diseases and allow for rapid responses to emerging health challenges with personalized medications. This ambitious vision necessitates the creation of cutting-edge products and solutions in the realm of ML and AI. We are seeking a skilled Machine Learning Engineer to help turn this vision into reality. In this role, you will be responsible for building and deploying machine learning models aimed at accelerating the development of oligonucleotide therapeutics. You will engage with foundational genomics models and multiomics datasets derived from patient data and laboratory experiments to model various aspects of RNA biology. This work will enhance our understanding of the molecular mechanisms underlying diseases, drug responses, and the design of top-tier drugs within this exciting new therapeutic modality. While familiarity with genomics and RNA biology is advantageous, it is not a prerequisite for this position. We welcome machine learning engineers who have demonstrated excellence in other domains and possess a strong desire to learn. Ideal candidates will have a proven track record of delivering high-performing AI/ML-powered products, academic excellence, and a passion for tackling complex challenges in AI and ML. While a background in biological sciences is beneficial, it is not mandatory; what is essential is a commitment to advancing therapies for both new and existing diseases, along with a consistent pattern of continuous learning and development. Our AI/ML team operates on principles of ownership, accountability, continuous development, and collaboration. We are dedicated to fostering a long-term career path for our employees and are committed to making GSK a great place to work. Our leadership team is focused on supporting your career and development from day one.

Responsibilities

• Build and deploy machine learning models to accelerate the development of oligonucleotide therapeutics.
• Work with foundational genomics models and multiomics datasets from patients and lab experiments.
• Model aspects of RNA biology to inform understanding of molecular mechanisms of diseases and drug responses.
• Collaborate with cross-functional teams to design best-in-class drugs in a new therapeutic modality.
• Contribute to the continuous development of AI/ML products and solutions.

Requirements

• Degree in a quantitative or engineering discipline (computer science, bioengineering, physics, mathematics, electrical engineering, etc.) or equivalent work experience.
• Experience in major deep learning frameworks (PyTorch, TensorFlow).
• Programming expertise in Python.
• Familiarity with fundamental components of the AI/ML engineering stack (Git, SQL, Shell Scripting).
• Knowledge of machine learning best practices.

Nice-to-haves

• Internship experience as a researcher in an AI/ML focused academic lab or as an AI/ML engineer or software engineer in the industry.
• Experience working with biomedical datasets (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images).
• Track record of contributing to open-source projects.
• Mentality of committing early and often, focusing on metrics before models, and shipping high-quality production code.

Benefits

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