Postdoctoral 5

Date Contact Description
07/14/2019 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: 12/31/2019.

06/26/2019 Alex Milinovich and Mike Kattan
QHSLinguistics@ccf.org

Postdoctoral Research Fellow - Natural Language Processing and Linguistics

A Postdoctoral Research Fellow position is available in the Cleveland Clinic Quantitative Health Sciences Department

 

Job Profile Summary - Utilizes computer programming skills as well as basic statistical and predictive modeling to train and perform natural language processing tasks on clinical notes.  Must have experience with cTAKES and/or Stanford NLP frameworks.

 

Job Responsibilities:

 

•  Performs natural language processing tasks for information extraction from free-text visit notes and procedure reports.

 

•  Trains and improves parsers for sentence detection, named entity recognition, negation, conditionality, feature extraction, etc.

 

•  Implements standard ontology dictionary for named entity recognition & feature extraction.

 

•  Assists with scope and task plan development; provides input to resource requirement development.

 

•  Consults on natural language processing tools for research projects.

 

•  Fosters innovation and learning through sharing design ideas and mentoring team members.

 

•  Must be able to effectively and efficiently multitask.

 

Competencies (Complexity of Work):

 

•  Requires critical thinking skills, problem solving, and the ability to work with minimal supervision.

 

•  Database querying experience is helpful.

 

•  Due to size of available dataset, experience with big data and code debugging for performance improvement is suggested.  Dataset is in the hundreds of millions of records spanning over 20 years of systems and formats.

 

Training and Work Experience:

 

•  Must possess a minimum training of 2 years in linguistics, computer science and or natural language processing.

 

•  Proficiency with programing skills in languages such as SQL, Java, R, Python or similar.

 

•  Basic understanding of systems like Hadoop, Hive and/or MapReduce is desired.

 

Interested applicants need to forward CV and contact information for 3 references to QHSLinguistics@ccf.org

06/13/2019 Brian Hobbs
hobbsb@ccf.org

Position Title: Postdoctoral Research Fellow

A Postdoctoral Fellow position is available in the Cleveland Clinic, Department of Quantitative Health Sciences.

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.

Qualifications:

PhD in statistics, biostatistics, or related field

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. Brian Hobbs. Email address:  HobbsB@ccf.org.

  • · A cover letter;
  • · A statement of research interest;
  • · Curriculum Vitae;
  • · 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 115 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.

 

 

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.



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.