About the Org:

At Genentech Research & Early Development (gRED) we have initiated an exciting journey to bring together and further strengthen our computational talent and capabilities by forming a new, central organization - gRED Computational Sciences (gCS). gCS is on a mission to partner across the organization to realize the potential of data, technology and computational approaches that will revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world. We stand at the beginning of this exciting journey.

The Computational Catalysts group within gCS is a diverse, curious and action-driven team at the intersection of computation, engineering and science with ambition to advance our technical excellence. The focus of the team is on partnering with the informatics and scientific communities to create a computational and data ecosystem that powers scientific discovery and accelerates decision making. We aim to modernize our ability to acquire, store, link, share, find and analyze data across the organization through scalable and integrated solutions that truly make every data point count.

About the Role:

We are seeking an experienced ML Engineer with a strong background in life sciences or healthcare to join our team in building a cutting-edge protocol authoring and review system. This system leverages large language models (LLMs) and a vector database for protocol creation, review, and data analysis. The ideal candidate will have hands-on experience with LLMs, a deep understanding of natural language processing (NLP), and technical expertise to optimize and enhance system performance.

This position requires someone with a blend of life sciences/healthcare expertise, NLP experience, and solid engineering skills who can directly contribute to system development and performance tuning.

Key Responsibilities:

• Benchmark and optimize the performance of our protocol authoring and review system, with a focus on NLP and vector search capabilities.
• Design and implement new features to enhance system effectiveness, user experience, and accuracy of protocol creation and review.
• Collaborate with the AI and engineering teams to integrate large language models (LLMs) into the system in a scalable and efficient manner.
• Improve vector database performance, ensuring fast, reliable query execution for protocol retrieval and comparison.
• Conduct stress testing and scalability assessments to ensure the system performs effectively under load.
• Develop new tools and methods for protocol data processing, including the use of embeddings and LLM-based features.
• Work closely with the scientists and other stakeholders to ensure the system meets industry-specific needs and regulatory standards.

Qualifications:

• 3+ years of direct experience applying AI in research and development
• Proven experience developing applications that integrate large language models (LLMs) such as GPT, Gemini, or similar.
• Strong background in natural language processing (NLP), particularly in text generation, summarization, and search optimization.
• Hands-on experience with vector databases.
• Proficiency in Python and experience with backend development.
• Experience with system benchmarking, performance testing, and feature optimization.
• Excellent problem-solving skills and the ability to work independently as well as part of a team.

Nice-to-Haves:

• Experience with cloud technologies, particularly in relation to hosting scalable AI models and vector databases.
• Experience with frontend development, particularly using Next.js or similar frameworks.
• Strong understanding of life sciences or healthcare industries and the specific challenges of protocol creation and review systems.
• Familiarity with the regulatory requirements of research protocols in life sciences and healthcare settings.

Application Instructions:

If you are passionate about leveraging NLP and LLMs to impact the life sciences space and are excited to work with cutting-edge technologies, we’d love to hear from you!

Hourly Pay Rate Range (dependent on location, experience, expectation)

The pay range that Magnit reasonably expects to pay for this position is: $79/hr - $105.33/hr

Benefits: Medical, Dental, Vision, 401K (provided minimum eligibility hours are met)

Magnit has an ongoing commitment to the diversity and inclusion of all team members. We believe that embracing diversity leads to innovation and helps address the needs of the business. We welcome individuals from different backgrounds, experiences, and cultures to join our team. We value this diversity and strive to create an inclusive environment that celebrates these unique perspectives, allowing you to contribute to your full potential. Finally, but most importantly, we expect all team members to be treated with dignity and respect.

If you have a disability and need an accommodation in relation to the online application process, please email us at Roche.Accommodations@magnitglobal.com