Senior ML Scientist, Foundation Models (Prescient / AI for Drug Discovery)

Genentech • New York City, NY

11d • $141,100 - $262,100

About The Position

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. The Opportunity At Prescient Design, we are revolutionizing drug discovery with cutting-edge machine learning techniques. We are seeking talented engineers with a passion for building large-scale, distributed machine learning algorithms and systems that will transform the drug discovery process. We are seeking an exceptional Senior Machine Learning Scientist to develop our core Foundation Models and enable the next generation of machine learning for drug discovery. We are looking for someone who is not only passionate about technical problem-solving but also has a proven track record of delivering innovative solutions in AI/ML. The ideal candidate should have extensive experience in leading and managing a team of engineers and scientists and be able to foster a culture of innovation, collaboration, and excellence across the broader gCS organization. The group provides a dynamic and challenging environment for multidisciplinary research, including access to heterogeneous data sources, close links to top academic institutions around the world, as well as collaborations with internal Genentech and Roche teams.

Requirements

• You have an MS/BS in Computer Science, Statistics, related field, or equivalent experience and 5+ years of industry experience in machine learning, or a PhD in Computer Science and related field and 2+ years of industry experience.
• You have demonstrated success in technical capabilities, deploying machine learning models in production environments or in ML/LLM research
• You have strong programming skills in Python
• You have extensive experience with deep learning/LLMs.
• A dynamic and resilient individual who excels in a rapidly evolving environment, taking initiative on projects and continuously learning and adapting to new challenges and opportunities.
• A collaborative and open-minded team player who values constructive feedback, refrains from judgment, and fosters a positive and respectful team environment.
• Strong communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences as well as interfacing with scientific and engineering leadership
• A passion for solving complex technical problems and a commitment to staying up-to-date with the latest developments in machine learning

Nice To Haves

• Experience collaborating with external scientific partners, such as academic institutions or industry research groups
• An extensive track record of delivering innovative solutions in machine learning

Responsibilities

• Participate in cutting-edge research and development in LLMs for various, cutting-edge internal applications, including drug discovery/development and biomedical problems.
• Develop LLMs, including data engineering, pretraining, finetuning, post-training, and evaluation as well as deploy models in production environments, working closely with other engineers to ensure scalability and reliability
• Solve core ML and engineering challenges including the design, implementation, and scaling of our data, training, and deployment pipeline
• Collaborate closely with cross-functional teams across both Prescient Design and gRED to solve complex problems in the life sciences

Benefits

• Relocation benefits are available for this job posting
• The expected salary range for this position, based on the primary location of New York City, is $141,100 - $262,100 of hiring range.
• Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.
• A discretionary annual bonus may be available based on individual and Company performance.
• This position also qualifies for the benefits detailed at the link provided below.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees