Under general guidance, the Research Associate III works closely with the PI, providing technical and/or administrative support in large or multi-project oriented labs. May be requested by PI to take on specific supervisory activities, and provide administrative leadership, and/or technical expertise. May develop hypothesis and assist in planning steps for the investigative process. Will review and remain current on literature as it relates to clinical/research study. Coordinates all lab and/or clinical activities, including but not limited to, budgetary/financial compliance, preparation of grant proposals, and creating independent presentations. Not responsible for generating grant funds.

Primary Duties and Responsibilities

• Provides miscellaneous clinical/research support (ad hoc data analysis, hypothesis development, programming, troubleshooting, etc.).
• Organizes clinical/research trials in conjunction with the Principal Investigator and sponsor and/or funding source.
• Monitors and ensures compliance with safety standards and procedures.
• Analyzes data and prepares scientific findings for publication as author or co-author.
• May make independent presentations.
• May provide system administration and maintenance for the local workstation network.
• Leads and trains Research Lab Assistants, Research Fellow, lower level Research Associates, and other related support staff and may be requested by PI to take on specific supervisory activities.
• Orients new Research Fellows and/or Research Scientists to day-to-day lab operations and procedures.

Requirements:

• Bachelors in Science Related Field.
• 3 years of Research experience (dry lab).
• 2 years of experience in research specialty.

Preferred:

• MS or MPH in Epidemiology, Biostatistics, or a related field required.
• Strong interest in cancer and population health research, specifically breast cancer survivorship.
• Experience with study initiation, database management, and statistical analyses.
• Proficiency in programming using statistical software such as R, SAS, or Stata.
• Ability to present research results and contribute to manuscript preparation.
• Strong analytic skillset for conducting epidemiologic analyses.
• Ability to work effectively in a collaborative and dynamic research environment.
• Commitment to improving the lives of cancer survivors through research.