The RGC is seeking an experienced Manager, AI R&D with expertise in multimodal learning to lead our team and drive our AI-driven research efforts in drug discovery. This role emphasizes the orchestration of large language models across diverse data sources, creating a comprehensive understanding and using the power of multimodal learning. This is an exciting opportunity to play a pivotal role in shaping the future of drug discovery and mentoring junior developers, thus influencing the next generation of AI solutions at the RGC.
As a Manager, AI R&D, a typical day might include the following:
Multimodal Learning Model Development: Design, develop, refine, and oversee AI models that incorporate data from diverse sources, such as biomedical imaging modalities, to extract biologically significant signals.
Innovation & Research: Stay updated with the latest advancements in multimodal learning, drug discovery, and AI. Incorporate innovative research to enhance the predictive power and interpretability of our models.
Project Management: Lead and oversee end-to-end AI projects, ensuring that solutions are delivered on time and meet quality standards.
Prototyping & Testing: Swiftly prototype AI solutions, orchestrate experiments, and assess model performance on real-world drug discovery assignments.
Data Integration: Partner with data scientists and domain experts to preprocess, sanitize, and integrate varying data modalities into a unified framework for AI modeling.
Leadership & Mentorship: Guide and mentor junior AI developers, fostering a culture of continuous learning and innovation.
Collaboration: Spearhead collaborations with a multidisciplinary team at the RGC to translate AI-derived insights into actionable drug discovery hypotheses.
Technical Documentation: Document methodologies, results, and insights in a clear manner for both tech-savvy and non-technical partners.
The job might be for you if you:
Want to take on a leadership role in the advancement of AI solutions at the RGC.
Are passionate about mentoring and developing talent, fostering a culture of inclusion and innovation.
Have leadership skills to spearhead projects from inception to completion.
Have excellent problem solving and computational skills.
Are enthusiastic about experimenting with bleeding-edge technologies.
Value teamwork and communicate effectively.
To be considered for this role, you must have a MS or PhD degree in Computer Science, or a related field with a focus on AI/ML. You should also have 2-4 years of relevant experience with a proven track record in multimodal learning and orchestrating large language models across varied data sources. Mastery in Python and experience with AI/ML libraries and frameworks such as PyTorch, fastai, transformers are required. Prior experience with open-source libraries for large language models and expertise in creating AI/ML applications is highly desirable. Domain-specific knowledge is valuable, but not required.
Does this sound like you? Apply now to take your first steps toward living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits including health and wellness programs, fitness centers and equity awards, annual bonuses, and paid time off for eligible employees at all levels!
Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application process. Please contact us to discuss any accommodations you think you may need.
The salary ranges provided are shown in accordance with U.S. law and apply to U.S. based positions, where the hired candidate will be located in the U.S. If you are outside the U.S, please speak with your recruiter about salaries and benefits in your location.
Salary Range (annually)