ABOUT US:

Scripps Research is a nonprofit biomedical institute ranked as one of the most influential in the world for its impact on innovation. We are celebrating our 100-year legacy in 2024. This significant milestone marks a century of seminal discoveries in immunology, infectious diseases (such as COVID-19, flu, HIV), neuroscience, heart disease, cancer, and more. Located in La Jolla, California, the institute houses six research departments, multiple Nobel laureates, a top-ranked graduate school and a leading postdoctoral training program. We work hand-in-hand with researchers of the Scripps Research Translational Institute and Calibr to merge foundational studies in biology, chemistry and computer science with translational science to produce pioneering drugs and advances in digital and precision medicine. Together, we cultivate new scientific leaders and expand the frontiers of knowledge to deliver medical breakthroughs impacting human health around the globe. If you have a passion for making a difference, this could be your opportunity to join our transformative team.

Celebrating a Century:

POSITION TITLE: Staff Scientist

POSITION SUMMARY:

Join our dynamic multi-institution consortium dedicated to leveraging computational methods for identifying drug repurposing candidates. As a Staff Scientist, you will primarily contribute to the construction and mining of biomedical knowledge graphs, utilizing advanced graph reasoning algorithms.

PREFERRED SKILLSET:

• Proficiency in constructing and/or mining biomedical knowledge graphs.
• Experience applying machine learning algorithms to biological data.
• Ability to evaluate algorithm performance through the creation or adaptation of rigorous benchmarks.
• Familiarity with drug discovery and/or drug repurposing processes.
• Strong teamwork skills, with the ability to collaborate effectively within large interdisciplinary teams.

REQUIREMENTS:

• Ph.D. in bioinformatics or a related scientific discipline, accompanied by a minimum of 2 years of postdoctoral or equivalent experience in cleaning, analyzing, and disseminating large biomedical datasets.
• Demonstrated experience utilizing data science techniques to generate novel and testable hypotheses.

PHYSICAL REQUIREMENTS:

This position works in an office environment. Further details of the physical requirements of established essential functions for this position will be addressed/discussed during the interview process.

LOCATION: La Jolla, California

COMPENSATION: The expected hiring range for this position is $78,000 to $90,272 per year, commensurate with experience. Consideration will be given to experience that exceeds the listed requirements.

COMPREHENSIVE BENEFITS INCLUDE:

• Employer Contributed Retirement Plan - Depending on eligibility, employees receive an employer contributed retirement plan (no employee contribution required) and the option to contribute to a 403(b) (which is similar to a 401(k) using your own pre or post-tax dollars)
• Full Suite of Health and Welfare plans including three medical plan options (including an HSA available option), dental, vision, life insurance, disability, EAP and more
• Access to Flexible Spending Accounts (Medical/Dependent Care)
• Competitive vacation and sick leave policies
• Free, on-site parking

HOW TO APPLY:
Please submit your resume and a cover letter detailing your relevant experience and interest in the position. Additionally, may include any relevant publications or projects that showcase your expertise in biomedical data analysis and computational methods.

The above statements describe the level of work performed and expected in general terms. The statements are not intended to list all the responsibilities, duties and/or skills required of employees so classified, and the content herein is subject to change due to the business needs of Scripps Research, with or without notice. Furthermore, nothing in this job description shall be interpreted to be in conflict with or to eliminate or modify in any way the employment-at-will status of Scripps Research staff.