Remote Causal ML Intern — Healthcare AI Research

The AI, Cloud, and Engineering (ACE) Team at Genentech is seeking a highly motivated intern to work on causal machine learning methods. Increases in computational power and the curation of extensive image and language data have enabled the creation of highly realistic generative models. However, in the field of healthcare, where data is often scarce, heterogeneous, and multimodal, these models have been less successful in capturing the underlying data generating mechanisms.

Clinical experts and statisticians often rely on causal knowledge, or partial causal knowledge, to analyze and interpret their research. The intern will focus on developing methods for infusing causal assumptions into current machine learning algorithms to improve model robustness to distribution shifts and spurious correlations. This internship provides an opportunity for a graduate student with a strong background in machine learning to apply their skills in the healthcare field.

This is a remote graduate-level internship position, with a duration of 12 weeks, starting in May/June 2024.

Key Responsibilities

• Drive the application of best practices for algorithm development
• Train large scale experiments using cloud and HPC infrastructure
• Deliver high quality code and actively participate in code reviews
• Keep accurate and timely records of research findings and progress

Program Highlights

• Intensive 12-weeks / 6 months / 12 months , full time (40 hours per week) paid internship.
• Program start dates are in January (Spring) / May/June (Summer) / 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 Education

• Must be pursuing a PhD in computer science, statistics, bioengineering, or a related field

Required Qualifications

• In-depth knowledge of current SoTA in Causality and Causal Reasoning, actively conducting research in Causal Machine Learning
• Record of achievement, with 1+ first author publications in high-impact journals/conferences
• Strong grasp of computer vision fundamentals is a plus

Other Preferred Qualifications

• Excellent communication, collaboration, and interpersonal skills.
• Complements our culture and the standards that guide our daily behavior & decisions:
  Integrity, Courage, and Passion.

The expected salary range for this position is $50/hr 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.

This is a remote position. There are no relocation benefits associated with this position.

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.