Department Summary
At Genentech Research & Early Development (gRED) we have initiated an exciting journey to bring together and further strengthen our computational talent and capabilities by forming a new, central organization - gRED Computational Sciences (gCS). gCS is on a mission to partner across the organization to realize the potential of data, technology and computational approaches that will revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world. We stand at the beginning of this exciting journey.
The Computational Catalysts group within gCS is a diverse, curious and action-driven team at the intersection of computation, engineering and science with ambition to advance our technical excellence. The focus of the team is on partnering with the informatics and scientific communities to create a computational and data ecosystem that powers scientific discovery and accelerates decision making. We aim to modernize our ability to acquire, store, link, share, find and analyze data across the organization through scalable and integrated solutions that truly make every data point count.
The team you are joining supports gRED scientists with highly scalable and reproducible workflows for the analysis of pre-clinical and clinical sequencing data from transcriptomic, genomic, and (epi)-genetic assays at the bulk and single cell level. The primary focus of this position is to learn the research needs and understand how bioinformaticians build analysis pipelines. With that knowledge and your skillset in programming and experience in AI application, you will create useful tools to support pipeline development work and formulate best practice for data analysis. Your work will simplify pipeline development and speed up data analysis, with an emphasis on reproducibility and scalability.
This internship position is located in South San Francisco, CA, on site.
The Opportunity
Design tools and add to existing tool chains to help scientists be more effective in workflow development.
Implement ML models in your tools and formulate the best practice of using AI.
Implement Python tools in a maintainable and extensible way.
Communicate with stakeholders about feature requirements.
Present future development and recommendations for the tool you built in the form of an oral and poster presentation.
Program Highlights
Intensive 12-weeks, full-time (40 hours per week) paid internship.
Program start dates are in 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)
A successful candidate applying for the gCS Catalyst Intern Program should be passionate about science/engineering, curious about the pharmaceutical industry and thoroughly enjoy the challenges associated with complex problem solving. You are highly motivated to learn established coding standards, workflow frameworks and relevant open source tools. You can evaluate and incorporate these tools into your own software as needed.
Required Education: You meet one of the following criteria:
Must be pursuing a Master's Degree (enrolled student).Must have attained a Master's Degree.Required Majors: Software Engineering, Computer Science, Bioinformatics or related fields.
Required Skills:
Proficiency in programming using Python.
Proficiency with git, testing procedures and software development life cycle.
Solid understanding of AI/ML applications in software development
Eager to learn, try and figure out the cutting edge and most proper tools, frameworks and practice.
Preferred Knowledge, Skills, and Qualifications
Previous experience with leveraging AI/ML in engineering work
Previous experience with integrating AI/ML in tools, frameworks and/or platforms.
Previous experience with Python virtual environment, package management and build lifecycle.
Experience in building genomic pipelines on popular workflow management systems such as Cromwell/WDL, Nextflow.
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.
The expected salary range for this position based on the primary location of California is $45-$50hour. 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.
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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.