Research Scientist - Research - Grant Funded

Scripps Health•San Diego, CA

10h•Hybrid

About The Position

This is a full-time, hybrid position located in San Diego. This is a grant funded role through April 30, 2030. Join the Scripps Health team and work alongside passionate caregivers and provide patient-centered healthcare. Receive endless appreciation while you build a rewarding career with one of the most respected healthcare organizations nationwide. At Scripps Health, your ambition is empowered and your abilities are appreciated: Nearly a quarter of our employees have been with Scripps Health for over 10 years. Scripps is a Great Place to Work Certified company for 2025. Scripps Health has been consistently ranked as a top employer for women, millennials, diversity, and as an overall workplace by various national publications. Beckers Healthcare ranked Scripps Health on its 2024 list of 150 top places to work in health care. We have transitional and professional development programs to create a learning environment that enables you to thrive in your specific field as well as in your overall career. Our specialties have been nationally recognized for quality in areas such as cardiovascular care, oncology, orthopedics, geriatrics, obstetrics and gynecology, and gastroenterology. We are looking for a sharp, strong communicator with a high degree of emotional intelligence who can provide strategic and technical input alongside excellent customer service. The data-driven Research Scientist will focus on supporting federally funded research projects and grant applications using skills in analyzing large-scale omics, clinical, and imaging datasets using rigorous statistical and machine learning approaches.

Requirements

Three to five years of progressive experience in government related grant development and management.
Experience with statistical modeling and interpretations of complex data.
Experience in analyzing any of the following: large-scale omics, clinical, and imaging datasets using rigorous statistical and machine learning approaches.
Experience in R, Python, SPSS, SAS or other related statistical software.
Intermediate knowledge of SQL, ETL, data modeling, and reporting technologies.
Excellent critical and analytical thinking, customer service skills, and strong written and verbal communication skills.
Ability to thrive in a team setting with an interdisciplinary group including physicians, data analysts, scientists and laboratory staff.
Strong English and language skills required in both speaking and writing.

Nice To Haves

Experience in AI and multi-modal data analysis.
Experience in predictive modeling for clinical intelligence.
Prior experience with Epic data structures and reporting environments.

Responsibilities

Design, conduct and assist with biomedical research or experimental protocols to improve health across diverse populations.
Partner with internal and external constituents to understand key requirements, plan and execute research projects, and produce actionable data to support strategic initiatives and drive continuous performance improvement.
Provide advanced, integrated analytics in support of research and organizational objectives.
Source, manage, and analyze large amounts of unstructured data; synthesize and communicate results to facilitate research data analysis and data-driven decision making.
Design data modeling processes, create algorithms and predictive models to extract key data, and analyze the data and share insights with clinical, research, and operational stakeholders.
Collaborate on manuscript development and dissemination of research results.
The position will work closely with the leadership team to identify strategic funding priorities, identify potential funding streams, develop and submit proposals, including but not limited to NIH and foundation proposals.
Perform other related duties as assigned (e.g. teaching graduate level courses in advanced data analytics).