2024 Fall Intern - Computational Sciences AI

Key Skills

AI technology, AWS, Causal inference, Computational Algorithms, Computer Vision (CV), Continuous Integration & Continuous Delivery - CI/CD, Deep Learning, Docker, Git, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

2024 Fall Intern - Computational Sciences AI

Department Summary

The AI, Cloud, and Engineering (ACE) team at Genentech is seeking a highly motivated intern to work on multimodal machine learning methods. Our team is a translational science 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. 

In the field of biomedical research, data are often multimodal, partially missing, and challenging to obtain. We are seeking to develop and apply cutting-edge methods to analyze multimodal clinical data, with a particular focus on signal processing from continuous measurements such as digital health technologies. 

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 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

• Collaborate with scientific stakeholders to develop models and communicate results/recommendations to meet scientific needs
• Access, process, visualize, and analyze large volumes of diverse data
• Apply cutting-edge machine learning/deep learning methods to various domains
• Work with scientists, researchers, statisticians, and AI experts across the company
• Lead technical discussions and present key findings for internal meetings

Program Highlights

• Intensive 6-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:

• Computer Science, Computational Biology, or relevant engineering or scientific field

Required skills:

• Applied experience in machine learning, signal processing, and/or statistics concepts and algorithms
• Strong Python programming skills
• Strong analytical and problem-solving skills
• Excellent people and written/verbal communication skills

Preferred Qualifications

• Track record of applying AI platforms, technologies, and techniques (e.g. TensorFlow, Theano, Keras, scikit-learn…) to solve scientific problems
• Experience with data visualization tools for scientific communication
• Previous biopharma experience
• Programming experience in R or other similar languages
• 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.