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Moffitt Cancer Center is seeking an Applied Research Scientist II to join the Coghill Lab in Cancer Epidemiology. The role focuses on understanding cancer presentation and outcomes in people living with HIV, integrating diverse data sources and advanced analytics.
You will contribute to analyses, visualization, and manuscript preparation within a collaborative team. Ideal candidates have a PhD in a relevant field and strong proficiency in R, REDCap, and data management.
Summary
APPLIED RESEARCH SCIENTIST II
Coghill Lab | Cancer Epidemiology | Moffitt Cancer Center
The Applied Research Scientist II will join Dr. Anna Coghill's research team in the Department of Cancer Epidemiology. The program seeks to understand what drives differences in cancer presentation, treatment, progression, and outcomes among people living with HIV. Originating in population-based secondary-data research, the portfolio now integrates clinical and epidemiologic data with tumor molecular and immune features, markers of accelerated biological aging, and area-level influences on access to and completion of cancer care.
POSITION HIGHLIGHTS
Non-tenure-track scientific position within a collaborative clinical and translational research team in Moffitt's Population Science Research Division.
Substantive opportunities to lead analyses and co-author peer-reviewed manuscripts, abstracts, and scientific presentations across multiple NCI-funded projects.
Regular interaction with Dr. Coghill and multidisciplinary team members, with increasing independence after orientation to the team's research portfolio and workflows.
KEY RESPONSIBILITIES
Lead research informatics and database-management activities, including integrating REDCap outputs with reproducible R workflows to streamline data quality review, reporting, analysis, and visualization.
Independently analyze Moffitt clinical, epidemiologic, and molecular datasets; interpret results; and translate findings into figures, tables, presentations, and peer-reviewed manuscripts.
Provide scientific and operational oversight for multiple R01-funded projects, including milestone and performance tracking, progress reporting, independent problem-solving and decision-making, and coordination of team members.
THE IDEAL CANDIDATE
Has strong applied research experience in epidemiology, biostatistics or data science; subject area expertise is not required, but experience with infections and cancer research or global work is desirable.
Demonstrates advanced proficiency in R and experience with management of complex clinical or molecular datasets; knowledge of REDCap or other database software is strongly preferred.
Has experience leading statistical analyses and manuscript development and exercising sound independent judgment while working effectively in a multidisciplinary team.
CREDENTIALS AND QUALIFICATIONS
WHY MOFFITT
Moffitt Team Members are eligible for medical, dental, and vision