CDSC Core Staff Scientist

At Moffitt Cancer Center, we strive to be the leader in understanding the complexity of cancer and applying these insights to contribute to the prevention and cure of cancer. Our diverse team of over 9,000 are dedicated to serving our patients and creating a workspace where every individual is recognized and appreciated. For this reason, Moffitt has been recognized on the 2023 Forbes list of America's Best Large Employers and America's Best Employers for Women, Computerworld magazine's list of 100 Best Places to Work in Information Technology, DiversityInc Top Hospitals & Health Systems and continually named one of the Tampa Bay Time's Top Workplace. Additionally, Moffitt is proud to have earned the prestigious Magnet designation in recognition of its nursing excellence. Moffitt is a National Cancer Institute-designated Comprehensive Cancer Center based in Florida, and the leading cancer hospital in both Florida and the Southeast. We are a top 10 nationally ranked cancer center by Newsweek and have been nationally ranked by U.S. News & World Report since 1999. Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. Join our committed team and help shape the future we envision. Summary Does working with one of the most advanced research institutes in the fight against cancer of interest to you? If so, the Moffitt Cancer Center has an exciting opportunity for a Staff Scientist to join our Collaborative Data Sciences Core (CDSC) in supporting our research mission. The Core is expressly designed to facilitate use of clinical data for research purposes. CDSC is a shared resource (or core facility) that helps drive innovation across all research programs by serving as an institutional hub for accessing Moffitt Cancer Center's robust patient data assets, spanning clinical, administrative, patient-reported outcomes, biospecimen, and molecular domains. Our leading-edge cloud-based data warehouse and access platform is constantly expanding to include robust data related to the care and treatment of cancer. As a Staff Scientist you will assist cancer investigators in the early stages of developing research projects with consultations on study design and project feasibility, including identification of patient cohorts based on detailed inclusion and exclusion criteria. Using your experience in Real-World Data (RWD) paired with large scale database interrogation best practices, you will be helping scientists better understand and accelerate discovery related to cancer care, treatment, and ultimately a cure. CDSC provides Moffitt researchers with study design consultation, provisioning/releasing of patient-level data, and study specific medical record abstraction. The CDSC team is comprised of 12 full time dedicated staff. Job Summary: The Collaborative Data Sciences Core (CDSC) is seeking a highly motivated and talented Staff Scientist with expertise in Epidemiology, Public Health, Biostatistics or related fields, particularly with a focus on real-world clinical data, to join our dynamic team and contribute to groundbreaking cancer research. You will be a key resource for cancer investigators, clinicians, and staff, providing innovative scientific guidance on harnessing enterprise-wide data to unlock the secrets of cancer, especially when dealing with real-world data. Your primary responsibilities will include offering scientifically rigorous consultations, assisting with data source guidance, conducting feasibility assessments, assisting cancer investigators in the early stages of developing research projects, including identification of patient cohorts based on detailed inclusion and exclusion criteria, high-level coordination of large complex projects/grants utilizing CDSC services, and serve as a subject matter expert for internal and external teams. This role will be required to maintain a deep scientific and analytical understanding of healthcare data, from study design, data generation, collection, and integration to their analysis and interpretation. The ideal candidate will have experience using large epidemiologic and/or consortium healthcare datasets to address research hypotheses. The candidate will be experienced in working with diverse data sources, such as clinical trial data, electronic health record data, insurance claims data, patient-reported data, molecular data, biospecimen data, and disease/patient registry data. The candidate must be hands-on and action oriented with a demonstrated ability to deliver and/or facilitate delivery by the CDSC core on data-driven research projects. Responsibilities: Provide expert guidance and scientific insights to cancer investigators, clinicians, and staff members on leveraging Moffitt Cancer Center's enterprise-wide data and large-scale healthcare datasets for cancer research purposes, particularly with an emphasis on real-world data (RWD). Provide high-level, scientifically rigorous CDSC services to cancer investigators by leveraging expertise in epidemiology and clinical research on study design and feasibility assessments to guide them with identifying the most appropriate data sources and data elements needed to address their project's research hypothesis and aims, and assist with refining inclusion and exclusion criteria for accurate cohort identification Apply knowledge of epidemiological study designs and how they can be used to derive maximum utility from patient data, including but not limited to biospecimens, imaging, billing, and molecular data Provide cancer investigators with critical elements required for project and grant submission, including but not limited to feasibility assessments, grant proposal text, budget estimates, and letters of support. This includes providing consultations for study design and developing statements of work, milestones, and deliverables. Maintain a deep understanding of healthcare data, spanning study design, data generation, collection, integration, analysis, and interpretation, with a specific focus on real-world data (RWD) challenges. Serve as a subject matter expert of CDSC data sources and best practices for CDSC team members and other Moffitt departments Research and evaluate alternative solutions to meet the needs of cancer investigators, based on best practices, and recommend the most efficient and cost-effective solutions for data and workflow design. Participate in the presentation of CDSC related data projects and in manuscripts, as appropriate. Minimum Qualifications: Master's degree in Epidemiology, Public Health, Biostatistics, Computer Science or equivalent required, Ph. D preferred. Minimum 10 or more years of relevant quantitative and analytical data experience, including but not limited to experience in using large-scale healthcare data and working in environments demanding diverse data sources, such as real-world data, clinical trial data, electronic health record data, insurance claims data, and disease/patient registry data. Extensive experience in a research or scientific environment applying scientific knowledge and understanding to address research hypotheses. Knowledge of epidemiological study designs and how they can be used to derive maximum utility from data and biospecimen repositories. Experience in manipulating complex data sets to apply quantitative analyses to address research objectives. Strong analytical skills using data as a problem solving tool. Proficiency with SAS, R, Python or equivalent query language and the management and manipulation of large data files and datasets. Experience and knowledge of relational databases and how tables relate to each other. Preferred: Ph. D. degree in Epidemiology, Public Health, Biostatistics, Computer Science or equivalent Experience with large epidemiologic and/or consortium healthcare datasets (i.e. SEER, Flatiron, Orien) Experience using electronic data capturing/workflow methodology software for designing clinical and translational research databases Share: