Department of Quantitative Health Sciences
Biostatistics Faculty for Cleveland Clinic Department of Quantitative Health Sciences
The Department of Quantitative Health Sciences (QHS) at the Cleveland Clinic main campus is searching for faculty candidates at the level of assistant or associate staff, to conduct independent research as well as collaborate with Cleveland Clinic investigators in the Taussig Cancer Institute. Successful candidates will join an active group of 96 QHS faculty, biostatisticians, analysts, data scientists, and programmers working in diverse areas of biomedicine.
Candidates should demonstrate both expertise in developing quantitative methodology as well as experience in contributing to multi-disciplinary clinical and/or translational cancer research. Additional requirements include experience designing experimental studies, directing research analysts, and supervising analyses of clinical datasets. Excellent academic writing and communication skills must be clearly demonstrated, with verbal proficiency in the English language required.
The level of appointment will be commensurate with experience of the candidate, and there are no requirements to obtain salary support. Master’s level statistician personnel support will be provided. Some teaching of our Cleveland Clinic Lerner College of Medicine medical students as well as oncology residents and fellows is expected. The candidate will be expected to help write collaborative research proposals, grant applications, and manuscripts. Independent PhD-level methodology research in a related area is expected.
The Cleveland Clinic is a not-for-profit, multi-specialty academic medical center that integrates clinical and hospital care with research and education. The Taussig Cancer Institute has been rated by U.S. News & World Report Magazine among the best cancer institutes in the country and is a part of the NCI designated Case Comprehensive Cancer Center. The Cancer Institute is a very active research organization with many investigator initiated projects and a robust presence at national meetings
Interested candidates should e-mail their curriculum vitae, the names of at least three references, and a letter summarizing their experience and interest to QHSJobSearchTCI@ccf.org. Further questions regarding the position may be directed to Brian Hobbs (email@example.com; Subject: Taussig faculty position 2018).
Cleveland Clinic is pleased to be an equal employment/affirmative action employer: Women/Minorities/Veterans/Individuals with Disabilities are encouraged to apply.
Postdoctoral Fellow – Cancer Biostatistics
Advances in biology and immunology continue to refine our understanding of cancer pathogenesis, elucidating potential mechanisms of tumor-cell growth, survival, angiogenesis and the systematic suppression of cancer immunity progressing toward precision medicine. Implicit to the concept of precision medicine is heterogeneity of treatment benefit among patients and patient sub-populations. Yet, precision medicine presents challenges to traditional paradigms of clinical translational for which estimates of population-averaged effects are used as the basis for selecting dose-scheduling strategies as well as demonstrating comparative benefit with randomized study.
Aspects of the traditional clinical research paradigm may not ideally suit the development of non-cytotoxics that challenge its foundational assumptions pertaining to dose-response and inter-patient exchangeability. Tumor biology and/or host immunity may better delineate target treatment populations than histology. Several emerging molecularly targeted and immunotherapeutic agents have produced durable responses in first-in-human trials. The U.S. regulatory landscape has also changed, with a growing number of accelerated approvals on the basis of single-arm trials. Collectively, these phenomena have prompted innovations with drug development strategies devised to consolidate phases in the traditional paradigm and rapidly expand accrual with “seamless” trial designs.
This postdoctoral fellowship is devised to develop analytical and computational technology for optimal designs of trials and drug development strategies for non-cytotoxic oncology treatments that span multiple indications. With the mentorship of Dr. Brian Hobbs (Cleveland Clinic) the trainee will research techniques for effectively identifying sources of subpopulation heterogeneity from real-world databases as well as optimal designs of master protocols and seamless trials that enroll potentially non-exchangeable patients.
The fellow will interact regularly with researchers of Amgen’s Statistical Innovation Team. Additionally, it is expected that the fellow will publish their findings in peer-reviewed academic journals as well as disseminate the ideas to both clinical and data science academic communities at conferences.
Interested candidates should send a cover letter, CV and 2-3 reference letters to Dr Brian Hobbs at Hobbsb@ccf.org.
Brian P. Hobbs, PhD
Cancer Biostatistics Section Head; Associate Staff,
Taussig Cancer Institute and Lerner Research Institute,