2024 Summer Intern - Oncology Bioinformatics - Gred

2024 Summer Intern - Oncology Bioinformatics - gRED
Oncology Bioinformatics supports and expands oncology research within the larger gRED organization, with our team focusing on cancer immunogenomics and cell therapies. One aspect of these efforts is genomic sequence analysis and optimization, especially in the context of regulatory sites. The candidate will join a team of scientists working to adapt established and cutting edge AI/ML sequence analysis approaches to internal efforts to optimize regulatory elements.
This internship position will be on-site within the South San Francisco Genentech campus
Key Responsibilities

• The candidate will be responsible for implementing one or more AI/ML approaches in close collaboration with colleagues with and without expertise in AI/ML and bioinformatics.
• The candidate will be responsible for documenting their efforts and code effectively such that colleagues will be able to replicate their efforts before and after their departure.
• The candidate will be responsible for effectively communicating their technical and scientific findings in both smaller project meetings and larger group presentation formats.
• More detailed project objectives will be tailored to the candidate's strengths, and an ideal outcome for the project would be significant contributions to a robust bioinformatic pipeline of patent or publication quality.

Program Highlights

• Intensive 12-weeks 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 Education: You meet one of the following criteria:
- Must be pursuing a PhD
- Must have attained a PhD
Preferred majors: Biology, Genetics, CS, Bioengineering
Required skills:

• The candidate must be familiar with the fundamentals of sequencing-based transcriptomic and epigenomic approaches (RNA-Seq, ATAC-Seq, etc.) and the theory behind transcriptomic and epigenetic regulation.
• The candidate must be familiar with motif analysis and machine learning.
• The candidate must be comfortable with programming in Python, R, and/or Julia, ideally in an HPC setting.

Other Preferred Qualifications

• Expertise in machine learning, particularly sequence-based approaches
• An interest in gene regulatory networks
• Excellent communication, collaboration, and interpersonal skills.
• Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

Relocation benefits are not available for this job posting.
#GNE-R&D-Interns-2024
The expected salary range for this position based on the primary location for this position in South San Francisco, California is $22.00 - $55.00 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.