Faculty 1

Date Contact Description
09/21/2018 Brian Hobbs
qhsjobsearchtci@ccf.org

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.

Job Requirements

  • PhD in Biostatistics or related discipline

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 (hobbsb@ccf.org; 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.
We are a smoke/drug free environment.

 

 

 



Postdoctoral 3

Date Contact Description
02/18/2019 Ming Hu
hum@ccf.org

Company Information: Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic.

Position Title: Postdoctoral Research Fellow

Duties & Responsibilities: We are seeking one motivated and creative applicant with quantitative research background in bioinformatics, computational biology, statistics, biostatistics or computer science to join an active and collegial research team, co-led by Dr. Ming Hu (Cleveland Clinic) and Dr. Bing Ren (University of California San Diego and Ludwig Institute for Cancer Research). Appointment would be in Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic.

This work is a key component of the cutting-edge 4D nucleosome project, funded by NIH, and involve the development and application of statistical methods and computational tools for the understanding of gene transcription regulation mechanism. The postdoc will also have great opportunities to collaborate with other researchers from Cleveland Clinic Foundation. The postdoc will collaborate with researchers in 4D nucleosome, 1000 Genome, Roadmap Epigenomics and ENCODE projects. Dr. Hu and Dr. Ren will co-mentor the postdoc and provide highly supportive and dynamic environments to help in the transition to an independent researcher.

Position Qualifications: The applicant should have a Ph.D. degree in one of the following areas: Bioinformatics, Computational Biology, Statistics, Biostatistics, Computer Science, or other discipline with strong quantitative background. Knowledge in biology or genetics is desired but not required. Programming experience in statistical program R and scripting languages such as Perl/Python on Unix/Linux systems is required. Experience with C/C++ is a strong plus. Applicants should have quantitative background with strong statistical and computational skills.

Salary Range: Salary is competitive and commensurate with qualification. Benefits will be in accordance with Cleveland Clinic standard postdoctoral benefits.

Application Address: Interested applicants should email the following materials to Dr. Ming Hu. Email address: hum@ccf.org.

  • · A cover letter;
  • · A statement of research interest;
  • · Curriculum Vitae;
  • · Sample codes from recent programming;
  • · Publication reprints;
  • · Contact information of at least three references.

Review of applications starts immediately. Applications will be considered until the position is filled. The Department of Quantitative Health Sciences has over 90 members and provides an excellent environment for methodological and collaborative research. QHS faculty interact with researchers and clinicians across the Cleveland Clinic, one of the leading academic medical institutions in the world.

Application Deadline: 6/30/2019.

02/14/2019 Ming Hu
hum@ccf.org

Duties & Responsibilities: We are seeking one motivated and creative applicant with quantitative research background in bioinformatics, computational biology, statistics, biostatistics or computer science to join an active and collegial research team, co-led by Dr. Ming Hu (Cleveland Clinic) and Dr. Bing Ren (University of California San Diego and Ludwig Institute for Cancer Research). Appointment would be in Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic.

This work is a key component of the cutting-edge 4D nucleosome project, funded by NIH, and involve the development and application of statistical methods and computational tools for the understanding of gene transcription regulation mechanism. The postdoc will also have great opportunities to collaborate with other researchers from Cleveland Clinic Foundation. The postdoc will collaborate with researchers in 4D nucleosome, 1000 Genome, Roadmap Epigenomics and ENCODE projects. Dr. Hu and Dr. Ren will co-mentor the postdoc and provide highly supportive and dynamic environments to help in the transition to an independent researcher.

Position Qualifications: The applicant should have a Ph.D. degree in one of the following areas: Bioinformatics, Computational Biology, Statistics, Biostatistics, Computer Science, or other discipline with strong quantitative background. Knowledge in biology or genetics is desired but not required. Programming experience in statistical program R and scripting languages such as Perl/Python on Unix/Linux systems is required. Experience with C/C++ is a strong plus. Applicants should have quantitative background with strong statistical and computational skills.

Salary Range: Salary is competitive and commensurate with qualification. Benefits will be in accordance with Cleveland Clinic standard postdoctoral benefits.

Application Address: Interested applicants should email the following materials to Dr. Ming Hu. Email address: hum@ccf.org.

  • · A cover letter;
  • · A statement of research interest;
  • · Curriculum Vitae;
  • · Sample codes from recent programming;
  • · Publication reprints;
  • · Contact information of at least three references.

Review of applications starts immediately. Applications will be considered until the position is filled. The Department of Quantitative Health Sciences has over 90 members and provides an excellent environment for methodological and collaborative research. QHS faculty interact with researchers and clinicians across the Cleveland Clinic, one of the leading academic medical institutions in the world.

Application Deadline: 8/31/2019.

12/11/2018 hobbsb@ccf.org
hobbsb@ccf.org

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,

Cleveland Clinic



Technical & Adminstrative

Applications for technical research positions and administrative positions at the Lerner Research Institute can be submitted on the Cleveland Clinic jobs web site.