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STAFF SCIENTIST - Su Lab at Scripps Research
San Diego, United States


Job Descrption

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:  https://100.scripps.edu/

POSITION TITLE: Staff Scientist

POSITION SUMMARY:

Will participate in a multi-institution consortium that will use computational methods to identify drug repurposing candidates. This position will focus on the creation of biomedical knowledge graphs, and the mining of those knowledge graphs using graph reasoning algorithms.

PREFERRED SKILLSET:

  • Constructing and/or mining biomedical knowledge graphs
  • Applying machine learning algorithms to biological data
  • Evaluating algorithm performance by creating or adapting rigorous benchmarks
  • Familiarity with drug discovery and/or drug repurposing
  • Working in large collaborative teams

REQUIREMENTS:

  • Ph.D. in an bioinformatics or in an appropriate scientific discipline as well as a minimum of 2 years postdoctoral or equivalent experience in cleaning, analyzing, and disseminating large biomedical datasets.
  • Experience using data science techniques to generate new 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

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. 

EEO STATEMENT:

The Scripps Research Institute is an Equal Opportunity Employer. We promote diversity of thought, culture and background in the fields of science. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status. Underrepresented individuals are encouraged to apply. 


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