2024 Summer Intern - Biology Research | Ai Development - High-Content Perturbation Screens

2024 Summer Intern - Biology Research | AI Development (High-Content Perturbation Screens)
Department Summary
Welcome to the Biology Research | AI Development (BRAID) department, a part of Genentech Computational Sciences (gCS). Our mission is to advance biological discovery by developing AI/ML methods focused on target discovery from diverse data modalities generated within Genentech's Research Division. Aiming to revolutionize the interplay of technology and lab work, we're pioneering research on lab-in-the-loop projects where computational analysis guides our experimental design. Join us in transforming biological discovery by bridging biology, AI, and data science to accelerate drug discovery and improve human health.
The BRAID department is looking for a highly motivated Research Intern to improve algorithms for the analysis of large-scale Perturbation Screens, with a focus on representation learning and active learning for screens with transcriptomic and/or morphological readouts.
This internship position is located in South San Francisco, CA on-site.
Key Responsibilities

• Train ML models to learn representations of imaging and/or transcriptional readouts in the Python ecosystem (e.g., in PyTorch)
• Evaluate learned representations for biological discovery, and measure the effect of confounders
• Develop models to predict the outcome of unseen perturbations
• Present on the scientific findings

Program Highlights

• Intensive 12-week, full-time (40 hours per week) paid internship
• Program start dates are in May/June (Summer)
• 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:

• Must be pursuing a PhD (enrolled student)

Required majors:

• Computational Biology, Computer Science, Statistics, Mathematics, or similar quantitative or computational fields

Required skills:

• Scientific programming experience in Python and familiarity with a deep learning framework such as PyTorch or JAX
• Strong foundation in Data Science and Statistics

Preferred Qualifications

• Experience with active learning frameworks for experimental design
• Familiarity with self-supervised representation learning methods, such as contrastive learning
• Basic familiarity with transcriptomics data and the concepts of high-content Perturbation Screens such as Perturb-Seq
• Excellent communication, collaboration, and interpersonal skills.
• Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
• Track record of tackling challenging biological problems with advanced computational methods

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 $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.
#GNE-gCS-2024-Interns
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.