The Foundational Models team at Genentech is seeking a highly motivated intern to work on multimodal machine learning methods. Our team is a biology research organization that plays a critical role in Genentech Research and Early Development as well as late-stage development of our products at Roche. We support drug discovery and development projects across all therapeutic areas from discovery to launch and beyond. We are poised at a unique time when large volumes of complex and varied data in a... more details
2024 Fall Intern - Computational Sciences AI
Department Summary
The Foundational Models team at Genentech is seeking a highly motivated intern to work on multimodal machine learning methods. Our team is a biology research organization that plays a critical role in Genentech Research and Early Development as well as late-stage development of our products at Roche. We support drug discovery and development projects across all therapeutic areas from discovery to launch and beyond.
We are poised at a unique time when large volumes of complex and varied data in areas such as fluid biomarkers, medical images, PK/PD, wearable sensors, and omics need to be analyzed to ensure that swift interpretation and decision-making can occur. These data impact decisions in ongoing preclinical and clinical programs, and provide key knowledge to inform new drug discovery and development.
Recent advancements in machine learning have led to impressive results in computer vision and natural language processing, where the combination of large amounts of data and computational resources has enabled the development of advanced predictive models. Simultaneously, advances in multiple measurement modalities have enabled us to peer deeper into biological processes and capture unprecedented quantities of data. We are seeking to develop and apply cutting-edge methods to analyze multimodal clinical data, with a particular focus on leveraging foundational models.
What to expect from us:
A highly functional and collaborative research environment where we strive to translate our
understanding of biology to develop personalized therapies and transform clinical practice to benefit patient health.
Access to clinical datasets, state-of-the-art technologies, advanced compuation, and pioneering research.
Participation in seminar series featuring academic and industry scientists.
Campus-like lifestyle with a healthy work-life balance.
Mentored opportunities for career development.
This internship position is located in South San Francisco, CA, on-site.
Key Responsibilities
Hands-on application and development of advanced deep learning models, with a focus on medical image processing, multimodal learning and foundational models.
Collaborate with scientific stakeholders to develop models and communicate results/recommendations to meet scientific needs
Work with scientists, researchers, statisticians, and AI experts across the company
Lead technical discussions and present key findings for internal meetings
Program Highlights
Intensive 3-month, full-time (40 hours per week) paid internship
Program start dates are in September (Fall)
A stipend, based on location, will be provided to help alleviate costs associated with the internship
Ownership of challenging and impactful business-critical projects
Work with some of the most talented people in the biotechnology industry
Who You Are (Required)
Required education:
You meet one of the following criteria:
Must be pursuing a Bachelor's Degree (enrolled student)
Must have attained a Bachelor's Degree
Must be pursuing a Master's Degree (enrolled student)
Must have attained a Master's Degree
Must be pursuing a PhD (enrolled student)
Required majors:
Required skills:
Track record of applying advanced deep learning methods to solve scientific problems, preferably with experience in the life sciences
Strong Python programming skills
Strong analytical and problem-solving skills
Excellent people and written/verbal communication skills
Preferred Qualifications
Experience with recent foundational models, especially pre-trained computer vision models
Experience with model interpretability techniques
Experience with data visualization tools for scientific communication
Passionate about solving technical problems and applying novel technologies to further
scientific goals
Experience working on teams and collaborating with others to solve challenging problems
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location for this position in California is $45.00 - $50.00 per hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.
Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.
