Faculty 2

Date Contact Description
02/23/2018 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.

 

 

 

02/05/2018 Gerald Beck
qhsjobsearchdcc@ccf.org

The Department of Quantitative Health Sciences (QHS) at the Cleveland Clinic main campus is searching for a doctoral level biostatistician to grow and lead Data Coordinating Centers (DCC) of national multi-center NIH supported research studies. The QHS Department has 100 members, including 26 doctoral level statisticians or bioinfomaticians, 50 masters level statisticians, 11 statistical programmers, as well as systems programmers and study coordinators. The Department, and specifically the Section of Clinical Trials and Research Design, currently leads DCCs for 8 studies primarily in renal, pulmonary and cardiac disease.  This new position will enable these efforts to expand.  

The candidate should have participated in and/or led Data Coordinating Centers (DCC).  This person needs to be highly competitive in obtaining new NIH DCC grants and expanding our capability in this area.  A doctoral degree with expertise in biostatistics, or a related discipline, is required.  Candidates should have considerable experience collaborating on clinical research studies in an academic health care setting.  Statistical methodologic research relevant to clinical trials is desirable.  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.

  • At least 6 years of experience as a biostatistician in a collaborative clinical research setting.

  • A successful record in a leadership role in one or more DCCs.

  • Demonstrated ability to design and analyze randomized clinical trials and/or observational studies.

  • Ability to collaborate and communicate well with clinical researchers.

  • Authorship of peer-reviewed publications demonstrating expertise in clinical research and use of advanced statistical methodology.

The successful candidate will help write grant applications, obtain funding for and lead DCCs as well as contribute to the study design and analysis support of these multi-center studies.  Some teaching in the Cleveland Clinic Lerner College of Medicine medical students is available.  Some independent PhD-level methodological research in a related area will also be expected. Master’s-level statistical support, and other support personnel, will be provided. The level of appointment will be commensurate with experience of the candidate. This is an excellent mid-career or higher opportunity and will provide ample opportunity for further career development.  

Interested candidates should e-mail their curriculum vitae, the names of at least three references, and a letter summarizing their experience and interests to qhsjobsearchdcc@ccf.org.

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
10/09/2017 Ming Hu
hum@ccf.org

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, and 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 the Cleveland Clinic. 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: afhuming@gmail.com and 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: 05/31/2018.

09/29/2017 Bo Hu
hub@ccf.org

A Postdoctoral Fellow position is available in the Cleveland Clinic [LRI/Quantitative Health Sciences]

Our team has access to “big data” from multiple platforms, including various omics data (WGS, mitochondrial sequencing, metabolomics, epigenetics, etc.), electronic health records and well-annotated clinical phenotypes. The candidate’s responsibilities involve developing novel statistical methods, machine learning algorithms and computational tools to identify disease biomarkers and networks, build predictive models and discover new therapeutic interventions. The postdoc will have great opportunities to collaborate with physicians and scientists at the Cleveland Clinic.  

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. The candidate should be familiar with program languages R, Perl or Python. Experience with C/C++ is a strong plus. 

Please send your curriculum vitae and contact information for 3 references to Bo Hu (hub@ccf.org)

06/09/2017 Tae Hyun Hwang
qhsjobsearchprojectstaff@ccf.org

Project Staff Scientist for
Cleveland Clinic Department of Quantitative Health Sciences

The Department of Quantitative Health Sciences at the Cleveland Clinic main campus is searching for a full-time Project Staff Scientist to collaborate with researchers in the Lerner Research Institute at Cleveland Clinic. The successful candidate will join an active team of over 90 QHS biostatisticians, bioinformaticians, computational biologist, epidemiologist, outcomes researchers, analysts, database developers and programmers working in a wide range of clinical areas and computational/statistical methodologies. The Project Scientist will work independently to develop, implement, and execute a variety of activities essential for the continuous success of our operations in bioinformatics, computational biology, and precision medicine research. The appointee will also be responsible for the development, validation, and implementation of new research techniques and protocols.

JobRequirements

In the cover letter, the applicant should speak to his or herskills and experience in any of the following areas:

  1.       Able to develop an algorithm to identify non-human genomes from metagenomics sequencing data for rapid diagnosis and treatment in an infected patient.
  2.       Able to develop a probabilistic mapping algorithm to align bisulfited sequencing reads such that it can be useful for human epigenetics studies by providing more robust and accurate methylation profiles.
  3.       Able to develop an algorithm to identify human disease-causing variant or gene prioritization with whole-exome/genome sequencing and patient phenotypes (e.g., by integrating with EMR data).
  4.       Able to apply methods of basic/some advanced machine learning algorithms and some statistical methods (e.g., dynamic programming, Hidden Markov model, Support Vector Machines, Non-negative Matrix Factorization, spectral clustering, gaussian process, etc.) to complex and big data.
  5.       Practical knowledge of human genetics and biological science/concept
  6.       Experience with the following different types of high-throughputsequencing data and publicly available genomics data. 1) Germline (constitutional) DNASeq from Illumina MiSeq/HiSeq 2500 in either a targeted panel covering 3,000 genes or whole exome sequencing covering 22,000 genes.  2) In-silico DNA metagenomic sequencing dataset.  3) In-silico stranded/non-stranded RNASeq. 4) Bisulfited sequencing dataset. 5) SNPs. 6) Biological network databases. 7) Various public databases such as NCBI, EMBL, UCSC, etc.
  7.       Experience with many state-of-the art publicly available bioinformatics. Often modify and adapt the existing software to an application of interest.
  8.       Gained some experience in modeling data architecture (MySQL) and Django framework to support large-scale NGS samples and to track analysis results.

The ideal candidate will have a PhD degree in computer science, electrical engineering, mathematics, or statistics with a computational programing background and an equivalent qualification and proven record of accomplishment in bioinformatics or computational biology or a closely related discipline. Applicants must have a strong understanding of the application of genome technologies, biology and bioinformatics in the context of genomics, epigenome, microbiome and electronic health records and practical experience with the processing, developing, deploying and analysis of large genomic, epigenomic, and/or microbiome preferably next-generation sequencing datasets. The candidate is expected to participate in writing collaborative research proposals, grant applications, and manuscripts. Independent PhD level methodological research in a related area is expected. While the level of appointment is open, candidates must have at least 3 years of experience beyond the doctoral degree. The ability to communicate effectively in a multi-disciplinary research environment is essential. Experience of staff supervision will be advantageous.

Interested candidates should e-mail their curriculum vitae, the names of at least three references and a letter summarizing their experience and interest to qhsjobsearchprojectstaff@ccf.org

Cleveland Clinic is pleased to be an equal employment/affirmative action employer: Women/Minorities/Veterans/Individuals with Disabilities.
Smoke/drug free environment.



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.