Staff Scientist in Bioinformatics / Data Discovery / Infectious Diseases

Scripps Research
Integrative Structural and Computational Biology
United States CA La Jolla
www.scripps.edu/careers/?gnk=job&gni=8a78839e7a64cf13017a696079d924fc&lang=en

Description

We’re hiring exciting new positions at Scripps Research to discover, share, and analyze biomedical data within a new data ecosystem for the National Institute of Allergy and Infectious Diseases.

Our group builds tools to improve how biologists discover and explore data. For instance, we recently developed outbreak.info 8, a tool to access and explore up-to-date information on some of the most critical data on the COVID-19 pandemic, including cases, research, and SARS-CoV-2 variants such as Delta. Our Variant reports allow researchers and the public to track the emergence and proliferation of Variants of Concern to gain insights into disease mechanisms, risk factors, epidemiology, and the effectiveness of diagnoses, treatments and vaccines. We also build infrastructure to integrate and access open data, including our BioThings SDK 2 project to create biomedical APIs. We’re looking to hire a staff scientist that helps us transform dataset discovery into data analysis to address critical biomedical problems.

Based in La Jolla, California, and *remote employment in the U.S. will be considered*

Learn more about this position at bit.ly/scrippsscientist


Qualifications

Requirements:
Ph.D. in bioinformatics or in an appropriate scientific discipline required.
A minimum of two-year post-PhD work experience that includes software application development and programming in Python.
A cover letter describing how your background aligns with your understanding of our needs.

Preferred Skillset:
Prior expertise with one or more of the following is preferred:
Biomedical research, including allergy, infectious disease, genetics, genomics, and/or drug discovery
Data schemas and markup
Biomedical ontologies
Findable, Accessible, Interoperable, Reusable (FAIR) data
Analysis in languages like R and SAS
Analysis using notebooks (Jupyter Notebook, Google Collaboratory, Observable, etc.)
Experience working in a multi-developer environment
Working as part of a diverse, multidisciplinary team
Git / GitHub


Start date

As soon as possible

How to Apply

Apply on the Scripps Research Careers site: www.scripps.edu/careers/?gnk=job&gni=8a78839e7a64cf13017a696079d924fc&lang=en


Contact

Laura Hughes
lhughes@scripps.edu