Research Scientist

UT MD Anderson

Houston, TX0–4 yrs1h agovia LinkedIn

About the Role

The Research Scientist provides scientific and technical support to faculty investigators by contributing to the development, coordination, and execution of clinical and translational research projects. This position applies advanced scientific knowledge to support research study design, data analysis, grant and proposal development, scientific writing, and dissemination of research findings. The role serves as a scientific resource and collaborator, working closely with faculty and multidisciplinary teams to advance the department's research mission.

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.
  • Assists in developing grant applications, philanthropic proposals, manuscripts, abstracts, presentations, and other scholarly materials.
  • Collaborates with multidisciplinary teams to facilitate research project implementation.
  • Conducts data review, interpretation, and analysis.
  • Assists with monitoring research project timelines and deliverables.
  • Supports protocol development and other scientific documentation.
  • Maintains knowledge of emerging scientific methods and technologies.
  • 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.
  • 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 platforms (AWS, Azure, GCP).

Requirements & Tech Stack

  • Experience supporting scientific or experimental research.
  • Ability to contribute to clinical and translational research initiatives.
  • Experience working with large datasets.
  • Experience with AI-enabled technologies.
  • Experience with coding platforms.
  • Experience in collaborative research environments.
  • Proficiency in coding languages/platform tools such as Python, R, SQL, Spark, Foundry, Microsoft Fabric, or cloud (AWS, Azure, GCP).

Qualifications

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

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