Research Scientist

About the Role

The Research Scientist provides scientific and technical support to faculty investigators, contributing to the development, coordination, and execution of clinical and translational research projects. This role applies advanced scientific knowledge to support research study design, data analysis, grant and proposal development, scientific writing, and dissemination of research findings. It also supports the implementation and utilization of AI-enabled research technologies, including Foundry.

Key Responsibilities

Scientific Research Support (Approximately 70%)

• Supports faculty investigators in the planning, coordination, and execution of clinical and translational research projects.
• Assists with the development of investigator-initiated studies, research concepts, and scientific proposals.
• Performs literature reviews and synthesizes scientific evidence to support research initiatives.
• Assists in developing grant applications, philanthropic proposals, manuscripts, abstracts, presentations, and other scholarly materials.
• Collaborates with multidisciplinary teams to facilitate research project implementation and scientific deliverables.
• Conducts data review, interpretation, and analysis to support research objectives.
• Assists with monitoring research project timelines and deliverables while identifying potential barriers and recommending solutions.
• Supports protocol development and other scientific documentation.
• Maintains knowledge of emerging scientific methods and technologies relevant to the department's research portfolio.
• Meets with Principal Investigators to identify research priorities and opportunities for data-driven scientific collaboration.

AI & Foundry Research Support (Approximately 30%)

• Supports faculty in utilizing Foundry and AI-enabled technologies to improve research workflows and data analysis.
• Assists with establishing research projects and organizing data environments within Foundry.
• Performs basic coding and scripting to support research automation, data management, and analytics.
• Assists investigators in identifying opportunities to leverage AI tools to improve research efficiency and productivity.
• Provides individual guidance and technical support to faculty and research staff using Foundry for research activities.
• Maintains documentation related to Foundry workflows and research applications.
• Remains current on emerging AI technologies and data science tools applicable to clinical and translational research.
• Works with large datasets using coding languages/platform tools such as Python, R, SQL, Spark, Foundry, Microsoft Fabric, or cloud (AWS, Azure, GCP).

Requirements & Tech Stack

• Experience working with large datasets, AI-enabled technologies, coding platforms, and collaborative research environments is highly desirable.
• Technologies: Foundry, Python, R, SQL, Spark, Microsoft Fabric, AWS, Azure, GCP.

Qualifications

• Required: A Master's Degree in a Natural sciences or related field.
• Preferred: A PhD in Natural sciences or a Medical Degree.
• Required: Four years experimental or scientific work, OR Two years experimental or scientific work with a medical degree, OR No experience required with PhD.