Intern, Data Science - Statistical Genetics (PhD)

Key Skills

Biomedical Imaging, Causal inference, EBI GWAS Catalog, Genetics, Genomic data, Metabolomics, Proteomics, Python Programming, R Programming, Statistical modeling

Job Description

Calico is seeking an intern to join the Statistical Genetics team within the Data Science group. 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 conduct and interpret genetic association studies of complex traits related to aging, and integrate findings from these studies with other molecular and phenotypic datasets. The successful candidate will work closely with members of the data science, computer vision, and computational genomics groups to identify genes or pathways underpinning age-related decline in physiological function.

Responsibilities: 

• Conduct and interpret statistical genetic analyses such as GWAS, ExWAS, Mendelian randomization, statistical finemapping, colocalization, and/or multi-trait analyses to answer questions related to aging physiology
• Develop and apply statistical machine learning methods to integrate multiple large, multimodal datasets (e.g. GWAS, clinical imaging, proteomics, genomics)

Position requirements:

• Currently pursuing a PhD degree in statistics, computational biology, mathematical biology, statistical genetics, genomics, or related field 
• Experience developing statistical and machine learning methods for biobank-scale biomedical datasets datasets
• Experience of large-scale statistical analysis in R and/or python
• Knowledge of statistical genetics techniques (e.g: GWAS, ExWAS, PheWAS, finemapping, colocalization, Mendelian randomization)
• Detail-oriented and organized
• Strong teamwork and communication skills
• Self-motivated with a “can-do” attitude
• Ability to work on-site in the South San Francisco office (pursuant with Calico’s return-to-site hybrid work policies)

Nice to have:

• Experience in computer vision or biomedical imaging
• Experience with multi-omics datasets (genomics, proteomics, metabolomics)
• Knowledge of advanced statistical modeling techniques such as causal inference methods

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