Post Tue Apr 05, 2022 8:32 pm

Teiko Bio is hiring VP Computational Science

VP, Computational Science
Location: Salt Lake City, UT or Remote

We started Teiko Bio to use immune insights to help deliver life changing therapies to those who need them most. Today, Teiko delivers on its mission by supporting therapy development and informing clinical decision making. By using cutting edge mass cytometry, Teiko’s leading test, the TokuProfile, maps characteristics of response, accelerates clinical pipeline candidates, and supports identification of novel discoveries.

About you

Expert in single cell or genomics data analysis
Motivated to help breakthrough therapies reach patients
Excited to tackle ground-floor challenges and work with seasoned scientists and proven entrepreneurs

Leading a team of computational biologists to develop systems and processes to analyze high-dimensional immune [i.e. mass cytometry] datasets
Developing and implementing the data analysis strategy for
biomarker discovery studies, particularly in the immunotherapy space
internal R&D activities
increasing report generation efficiency for customer data
Delivering high-performance customer-facing releases and improvements
Developing customer-facing platforms for data visualization and reporting
Explaining results to customers and answering key questions
Identifying key areas of needs for the team and staffing appropriately

Experience in:
leading computational teams to answer biological questions
the analysis of single-cell data, preferably mass or flow cytometry
working with clinical data, particularly in the oncology space
working with clinical samples, preferably in a diagnostic setting
delivering timely, high-quality results to customers
No degree required, but completing an advanced degree in biology, bioinformatics, immunology or related discipline is one way to demonstrate proficiency in our field
Proficiency in commonly-used data science languages: Python, R, etc.
Familiarity with cloud computing platforms, preferably AWS
Practical, working knowledge of modern bioinformatics tools
Familiarity with large scale, high-throughput “omics” datasets: cytometry, genomics, etc.