Intern, Applied Machine Learning for Genomic Rearrangements in Cancer (PhD Only)

Position description:

Calico is seeking an intern to join the Calico Applied Machine Learning (CAML) team. To succeed, you will need to be an enthusiastic team player, detail-oriented, extremely organized and comfortable working on complex problems. In this position you will study genomic rearrangements in cancer cell lines from ATACseq data. The successful candidate will work closely with members of the CAML team on adapting current ATACseq processing pipelines to capture rearrangement events and model changes in regulatory networks that are reposition enhancer elements.

Responsibilities: 

• Adapt read alignment pipeline for ATACseq data  
• Model genomic breakpoints
• Model impact on regulons to link the changes of gene regulatory circuitry to mutational states and differences in response to genetic perturbations from CRISPRi screens 
• Compare results to predictions from existing CNV inference methods 

Position requirements:

• Currently pursuing a PhD degree, in Bioinformatics, Computational Biology or related fields 
• Experience working with bioinformatic NGS processing tools and scientific programming (R/Python)
• Knowledge of the analysis of omics data (bulk or single-cell)
• Detail-oriented and organized
• Strong teamwork and communication skills
• Self-motivated with a “can-do” attitude
• Flexible, able to respond quickly to shifting priorities and able to multitask
• Available to work for the summer months in person at our location in South San Francisco, CA

Nice to have:

• Experience in analysing ATACseq data

About our Program:

Calico’s internship program is a paid 12-week program over the summer for students interested in understanding the fundamental science of aging and finding treatments for the associated and intractable diseases. Working in a collaborative environment and fully embedded in one of our labs/teams, Calico interns tackle a unique project under the mentorship of at least one of our scientists or engineers. Students from all schools, and students who identify with a demographic that is underrepresented within the technology, data science, and healthcare industries are encouraged to apply. This includes but is not limited to Black, Latinx, Native American, students with disabilities, veterans, and non-binary people.

Program Features:

• 3-month summer timeline
• In-person experience at our offices in South San Francisco
• Matching with at least one Calico mentor
• Group supplemental activities weekly featuring guest speakers, Senior Leadership spotlights, and discussion groups on aging science, our drug development approach, and more
• End-of-summer company-wide project showcase and poster session
• Competitive compensation ($40 - $65/hour) and monthly living expenses stipend
  

Program Eligibility:

• Able to work in-person at our offices in South San Francisco
• Free for a consecutive period of 11-12 weeks in June, July, and August
• Not graduating before December 2025
  • Exception for students enrolling into a graduate degree program in Fall 2025
• Must be enrolled in a US university