Collaborate and work closely with Data Scientists and Scientists to investigate disease associated cellular states and derive biological insights
Perform advanced analytics to investigate how disease risk variants alter cellular states
Apply single cell methods to analyze cellular state trajectories with respect to clinical disease progression and disease-related endophenotypes
Follow all best practices for code version control and reproducible research

Requirements

Completion of Undergraduate Freshman year at an accredited University is required.
Currently Enrolled in a PhD program in Data Science, Computational Biology, Bioinformatics, or related field
Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework.
2+ years of hands-on experience in single cell transcriptomic analyses using Python-based methods
Fluent in Python
Experience with code version control using Git
Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future.

Benefits

Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan.
Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year.
Co-Ops and Interns are eligible to participate in the Company’s consolidated retirement plan (pension).

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

single cell transcriptomic analysesPythonadvanced analyticscode version controlreproducible research

Soft Skills

collaborationcommunication