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Quantitative Health Sciences

Careers

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Exciting investigation and groundbreaking discovery happens every day at Cleveland Clinic. Join our team of expert researchers at the Department of Quantitative Health Sciences.

Explore available positions below. Some postdoctoral fellow, technical and administrative positions are posted on the Cleveland Clinic careers website.


Available Faculty Positions

Job Description:

The Department of Quantitative Health Sciences (QHS) at the Cleveland Clinic seeks candidates for a doctoral-level faculty position at the Assistant or Associate level at the Cleveland, Ohio main campus. An academic faculty appointment at a rank commensurate with experience is available at the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University.

This is a full-time collaborative, hard-money position to work closely with clinician investigators in the Medical Specialties Institute (MSI), one of the 13 Cleveland Clinic Institutes. Applicants should possess methodological expertise in the design and analysis of clinical trials and observational studies that can be used to support research across multiple medical specialties within MSI. These specialties include the Departments of Allergy and Clinical Immunology, Rheumatology, Endocrinology, Genetics and Genomics, Kidney Medicine, and Dermatology. The position offers 30% protected time for independent creative scholarly work. The successful candidate will have support from a team of three Master-level statisticians (total of 2 FTE) who currently provide statistical analytic support across various aspects of MSI research. The candidate is expected to guide and mentor team members to provide more focused technical and collaborative support for MSI. Applicants must have a PhD or equivalent degree with a focus in biostatistics, applied statistics, and/or epidemiology.

The ideal candidate will thrive in a team science environment and appreciate learning about the diverse medical specialties that makeup MSI. They will collaborate on innovative study designs, apply creative analytical methods to tackle complex healthcare challenges, contribute to competitive grant proposals, and support the publication of research in academic, peer-reviewed journals. Exceptional written and verbal communication skills, along with the ability to effectively engage with investigators, are crucial. Recent graduates with some experience, as well as individuals with more advanced experience, are encouraged to apply. Rank and compensation will be commensurate with level of experience. 

Medical Specialties Institute clinical investigators are physician scientists, who have over $10M in annual support from federal, state, foundation and industry sponsored sources. Ongoing investigator-initiated projects include clinical outcomes, epidemiology, use of large datasets to model chronic disease outcomes progression and management, development of AI-based predictive models for genetic kidney diagnosis, study of genetic risk factors for melanoma, integration of AI-driven alerts into EPIC to support precision medicine, and trials of CAR-T therapy and other novel treatment approaches for autoimmune disorders. Cleveland Clinic’s BioRepository provides the resources to integrate molecular phenotypes from biological samples with associated health information. The Institute is committed to growing its research portfolio and to developing the careers of medical students, residents, fellows, and junior faculty.

Cleveland Clinic Research includes a core group of 1,800+ dedicated research personnel and a broader network of physician scientists, investigators and shared resources across the health system. Estimated annual funding exceeds $520 Million and research operations take place all over the globe, including Northeast Ohio, Florida, Nevada, Canada, Abu Dhabi, London and beyond. In addition to state-of-the-art research facilities, the Clinic maintains high quality clinical registries, biorepositories, and a detailed electronic medical record database of more than 15 million annual patient encounters.

The Department of Quantitative Health Sciences has 23 faculty and over 132 members and is a multidisciplinary group of biostatisticians, epidemiologists, outcomes researchers, database developers and programmers that conducts translational medical research to improve patient care. Our teams collaborate with clinical investigators on translating clinical questions into testable research hypotheses, designing studies to address the clinical questions, and all aspects of data analysis (data-driven discovery, model building and validation, hypothesis testing, development of new statistical methods). Areas of disciplinary research application include biostatistical methods, clinical trials, population health, statistical genetics, bioinformatics, statistical computing, predictive modeling, and computational biology. For more career information see the Quantitative Health Sciences Career site.

Specific job requirements include:

  • ·       PhD in Biostatistics, Epidemiology, Applied Statistics, or related field
  • ·       Basic to advanced level of collaborative research experience
  • ·       Experience and interest in working with large data sets, including national repositories and electronic health record databases to understand predictors and outcomes of diseases relevant to specialties within MSI is desirable.    
  • ·       Knowledge and interest in traditional and innovative clinical trial design and analysis
  • ·       Excellent written and verbal communication skills
  • ·       Desire to conduct and publish independent research
  • ·       Will work with MSI research leadership to define MSI research priorities and plan for future initiatives

Preferred but not required:

  • ·       Experience or interest in machine learning and artificial intelligence
  • ·       Experience in survey research and study design

Salary range of this position is 140K to 200K and reflects the anticipated range for new hires. A successful candidate's actual compensation will be determined after taking various factors into consideration, such as the candidate's work history, experience, and skill set. This salary range is not inclusive of the value of Cleveland Clinic's benefits package, which includes among other benefits, healthcare, dental, vision, and retirement. Please note that this is an on-site position.

The metropolitan and suburban areas of Cleveland comprise a population of over 3 million, rich in cultural resources and diversity. The city itself is centrally located to several other large cities and enjoys a low cost of living index. Cleveland and the surrounding area are home to several universities and colleges, fantastic parks, three major league professional sports teams, a lively performing arts scene, and a world-famous orchestra and art museum. Cleveland Clinic is among the world’s largest, busiest health centers, and a top-ranked U.S. hospital by U.S. News & World Report. 

Interested candidates should email a curriculum vitae, the names of at least three references and a letter summarizing collaborative experience, research interests, and fit for the position to [email protected],  Review of applications will begin immediately and continue until the position is filled.

 

Cleveland Clinic is pleased to be an equal employment opportunity employer and provide a smoke- and drug-free environment.

 

Contact:

Stephanie Kocian
[email protected]

Job Description:

Department of Quantitative Health Sciences is seeking a faculty Epidemiologist to lead collaborations with the Cleveland Clinic Integrated Hospital Institute, Department of Pulmonary Medicine to grow our emphasis in environmental epidemiology across the field of respiratory health. The ideal candidate will serve as a primary resource for existing research within the Cleveland Clinic System, while also engaging as an independent researcher to advance partnerships and collaborations with greater Northeast Ohio and improve the health of our community.

A doctoral degree is required. The position includes a non-tenured appointment to the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University at rank commensurate with experience.

The ideal candidate would have a track record in environmental epidemiology research, with a skillset in modeling and exposure estimation of ambient or indoor air quality, and a rigorous grounding in spatial epidemiology techniques. Independent grant funding is not a requirement.  A background in the impact of environmental exposures on respiratory health is preferred, though not required.

Job Requirements

Preferred qualifications and experience:

·        PhD in environmental health sciences, epidemiology, or related field

·        Experience with modeling and exposure estimation of ambient air quality

·        Experience working with large datasets, including electronic medical record data

·        Experience in spatial epidemiology and using GIS software such as ARcGIS

·        Experience working in collaborative, multi-disciplinary research teams

 

This is a “hard money” position with the expectation of obtaining collaborative grant funding over time.  A combination of collaborative and independent research is expected, with the majority of time dedicated to collaborative work. Salary range 140K to 200K. The pay range displayed on the job posting reflect the anticipated range for new hires.  A successful candidate's actual compensation will be determined after taking various factors into consideration such as the candidate's work history, experience, skill set, and board certifiation.  This is not inclusive of the value of Cleveland Clinic's benefits package, which includes among other benefits, healthcare/dental/vision, and retirement.

Interested candidates should email a curriculum vitae, the names of at least three references and a letter summarizing experience, research interests, and fit for the position to [email protected].
Review of applications will begin immediately and continue until the position is filled.

Contact:

Stephanie Kocian
[email protected]

Job Description:

The Cleveland Clinic is searching for an Associate or Full Professor-level faculty member to join its multidisciplinary Department of Quantitative Health Sciences on the Cleveland Clinic main campus. This full-time faculty position offers a unique opportunity to contribute both collaboratively and independently with musculoskeletal researchers, spanning the range from basic and translational studies to sports medicine to orthopaedic surgery cohort studies and randomized trials, within a leading healthcare environment.

Position Overview

·        Collaborative Research (70%): Design and analyze complex observational and experimental studies, including randomized clinical trials, in partnership with investigators from the Cleveland Clinic Department of Orthopaedic Surgery and Musculoskeletal Research Center.

·        Independent Research (30%): Engage in independent research projects that advance the fields of biostatistics, epidemiology, data science, and their contributions to musculoskeletal research.

Key Responsibilities

·        Collaborate with multidisciplinary teams of physicians, scientists, and engineers in musculoskeletal research.

·        Lead and mentor a team of MS-level biostatisticians supporting musculoskeletal research.

·        Develop and deploy data-intensive research studies, including the integration of diverse data sources (basic science, -omics, imaging, and patient-reported outcomes).

·        Build data-driven models for patient phenotyping and outcome prediction using a wide range of modeling techniques, from classical statistical methods to artificial intelligence/machine learning and digital twinning.

Qualifications

·        Education: Ph.D. in Statistics, Biostatistics, Epidemiology, or a related discipline.

·        Experience: Demonstrated experience as a collaborative biostatistician in a clinical setting.

·        Expertise:

-        Clinical research design and statistical methodologies for cohort studies and clinical trials, including longitudinal data analysis, survival analysis, and modern statistical methods.

-        Proficiency in machine learning, data mining, and advanced analytical methods for large-scale healthcare data.

-        Experience with the integration and analysis of multi-source data is highly desirable.

·        Leadership Skills: Strong leadership and collaborative abilities, with a desire to lead a biostatistical team.

·        Communication Skills: Excellent written and oral communication skills in English. Enthusiasm for research in orthopaedic surgery, sports medicine, biomechanics, and related musculoskeletal research.

Appointment Details

·        Funding: This is a hard-money faculty position with no explicit requirements to obtain additional external funding. However, a large portion of this individual’s effort will be in collaboration with musculoskeletal researchers to support extramurally funded programs, from which some external funding would be anticipated. 

 

Salary range 140K to 200K. The pay range displayed on the job posting reflects the anticipated range for new hires.  A successful candidate's actual compensation will be determined after taking various factors into consideration such as the candidate's work history, experience, skill set, and board certification.  This is not inclusive of the value of Cleveland Clinic's benefits package, which includes among other benefits, healthcare/dental/vision, and retirement.

·        Academic Affiliation: Non-tenured appointment at the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, with rank commensurate with experience.

Interested candidates should email a curriculum vitae, the names of at least three references and a letter summarizing experience, research interests, and fit for the position to [email protected]  Review of applications will begin immediately and continue until the position is filled.

Contact:

Stephanie Kocian
[email protected]


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