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 design, develop, and apply machine learning methods to analyze spatial -omics data. The successful candidate will work closely with members of the CAML team on developing machine learning methods and pipelines to extract features from spatial transcriptomics/proteomics data, furthering our understanding of aging biology and aging-related diseases. 

Responsibilities: 

• Work within an interdisciplinary team to design and implement machine learning algorithms for spatial data analysis
• Contribute easily maintainable, robust, and flexible code for spatial analysis pipelines and model training
• Interpret and communicate results to team members and a wider audience of interdisciplinary scientists

Position requirements:

• Currently pursuing a Master’s (MS) or PhD degree, in Computer Science, Computational Biology, Bioinformatics, Statistics, Applied Mathematics, or related field
• Knowledge of current machine learning / deep learning methods 
• Experience in Python and machine learning frameworks (PyTorch, TensorFlow, JAX, etc.)
• Strong analytical and quantitative problem solving skills 
• 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 applying machine learning methods to solve biological problems
• Experience working with spatial transcriptomics and/or proteomics data
• Knowledge of imaging and sequencing-based spatial profiling techniques, their technical considerations, and relative advantages/disadvantages

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