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.