About The Position

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. We advance science so that we all have more time with the people we love. Department Summary We are a team of highly experienced and collaborative bioinformaticians and we are seeking a qualified intern to help us leverage state of the art AI for healthcare. Your work will involve research and development of AI based bioinformatics applications for multiple kinds of biological data, particularly next-generation sequencing (NGS). Working on the crossroads of state of the art in AI and bioinformatics will equip you with the skills and experience of applying AI in improving patients’ lives. This internship position is located in Santa Clara, on-site. The Opportunity Collaborate with experts for multiple applications to understand and analyze biological data Explore multiple biological foundation models for biological applications feature engineering (particularly sequencing data analysis) Validate the models through further machine learning for the downstream tasks of interest Attend meetings, work collaboratively and communicate the findings to the project stakeholders through documentation and presentations Ensure that the work is done under version control and is reproducible 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.

Requirements

  • Must be pursuing a Master's Degree (enrolled student)
  • Must have attained a Master's Degree
  • Must be pursuing a PhD (enrolled student)
  • Computer Science, Mathematics, Statistics, Machine Learning, Bioinformatics.
  • Proficiency in a programming language (Python is preferred)
  • Machine learning expertise, particularly in deep learning
  • Ability to work in a Unix-like environment on an HPC compute cluster
  • Strong algorithmic and problem solving skills
  • Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

Nice To Haves

  • Excellent communication, collaboration, and interpersonal skills.
  • Experience with analyzing biological data, particularly sequencing data is a plus.
  • Experience with biological foundation models is a plus but not required.

Responsibilities

  • Collaborate with experts for multiple applications to understand and analyze biological data
  • Explore multiple biological foundation models for biological applications feature engineering (particularly sequencing data analysis)
  • Validate the models through further machine learning for the downstream tasks of interest
  • Attend meetings, work collaboratively and communicate the findings to the project stakeholders through documentation and presentations
  • Ensure that the work is done under version control and is reproducible

Benefits

  • 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.
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