Summary: The Machine Learning Engineer - Biosciences will design and implement the foundational machine learning architecture for CAR T-cell therapy discovery platforms, focusing on optimizing personalized cell therapies. This role involves collaboration with interdisciplinary teams and establishing MLOps standards to enhance efficiency in clinical research. The position is hybrid, requiring three days on-site in San Francisco and two days remote. The contract duration is six months.

Key Responsibilities:

• Architect and implement the ML systems that power our CAR T-cell therapy discovery platform, optimizing performance and scalability in a clinical research environment.
• Analyze machine learning workflows, identify bottlenecks, and implement solutions to improve efficiency.
• Establish MLOps standards for the organization, including experiment tracking, model versioning, and building automated deployment pipelines for ML models.
• Lead the integration of ML platforms with other software systems and tools, enabling seamless data flow across the CAR T-cell discovery pipeline.
• Work closely with interdisciplinary teams, including product, design, front-end, machine learning, and infrastructure teams, to ensure cohesive integration of ML into the discovery process.
• Train and mentor fellow machine learning engineers, fostering a culture of knowledge-sharing and continuous learning around CAR T-cell therapy applications.

Key Skills:

• In-depth experience with CAR T-cell therapies, including a solid understanding of their biological mechanisms and their use in cancer immunotherapy.
• Proven expertise in architecting, building, and optimizing machine learning systems from the ground up, particularly for biological data and cell therapy applications.
• Skilled in applying deep learning techniques to biological data, with a strong background in cell biology, immunology, or cancer research.
• Advanced proficiency in Python, with hands-on experience using machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience designing and implementing robust data infrastructure to handle complex, high-dimensional biological datasets critical to CAR T-cell therapy discovery.

Salary (Rate): 73.00

City: San Francisco

Country: United States

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT