Medical University of South Carolina
UNIV- Senior Research Associate- Department of Public Health Sciences
Medical University of South Carolina, Charleston, South Carolina, United States, 29401
Senior Research Associate - Department of Public Health Sciences
The Department of Public Health Sciences (DPHS) and the College of Medicine at the Medical University of South Carolina invite applications for a Biostatistician at the Senior Research Associate (SRA) level. This position is for a collaborative biostatistician with interests in biomedical research and teaching biostatistics. A masters degree or PhD in biostatistics or related field is required. DPHS has a large and expanding program of collaborative and internal research. The position will involve highly collaborative interactions within DPHS, College of Medicine and the Health Equity and Rural Outreach Innovation Center (HEROIC) at the Charleston VA. There will be emphasis on projects developed under the direction of faculty and researchers in the College of Medicine with appointments within the VA HEROIC, but the position could also involve working within other areas of clinical research. Candidates should be able to work independently, have experience and ability in computer-oriented data analysis and statistical programming, and excellent oral and written communication skills. Prior experience in health services research that uses electronic medical records data is desired but not required. At least 1 year of professional programming experience in SAS (preferred), SQL programming, STATA, and/or R is required (evidence of experience based on classwork or certifications can be substituted for professional experience). The position allows for remote work arrangements. Preferred Education and Experience: will hold MS, ScM, MSPH, or MPH in Biostatistics, Statistics, Data Science, Mathematics or equivalent. Appropriate candidates with a terminal degree (PhD, DrPH, MD) are eligible for staff SRA positions, but may be better suited for the faculty SRA track. The candidate is expected to have advanced level of experience in using SQL, SAS/STATA to manage, analyze data and contribute to study planning (example: sample size/power computations) are desired. Job Responsibilities and Duties: Analysis of data (35%): This will include the interim and or final data analysis of datasets of varying sizes that result from VA funded studies. Derived datasets will be created by the biostatistician, validation of analyses and programs will be conducted and reports that includes tables and figures, descriptions of methods used, and interpretations of results will be included. Participate in manuscript writing. Data management (30%): This will include working on IRB and DART forms to request data from VINCI and other sources of data, cohort formation and preparing analytic datasets. Participate in study design development (25%): This will include working with the protocol lead statistician and clinicians on proposals in which analysis plans are described, sample size justifications are proposed, and results are presented in a clear and transparent manner for interpretation by the appropriate audience. Administrative support (10%) MUSC is a drug free workplace. We are an equal opportunity employer promoting diversity. Please send statement of research interests, three reference letters, and curriculum vitae to: Mulugeta Gebregziabher, PhD Professor and Vice Chair, Department of Public Health Sciences Medical University of South Carolina gebregz@musc.edu
The Department of Public Health Sciences (DPHS) and the College of Medicine at the Medical University of South Carolina invite applications for a Biostatistician at the Senior Research Associate (SRA) level. This position is for a collaborative biostatistician with interests in biomedical research and teaching biostatistics. A masters degree or PhD in biostatistics or related field is required. DPHS has a large and expanding program of collaborative and internal research. The position will involve highly collaborative interactions within DPHS, College of Medicine and the Health Equity and Rural Outreach Innovation Center (HEROIC) at the Charleston VA. There will be emphasis on projects developed under the direction of faculty and researchers in the College of Medicine with appointments within the VA HEROIC, but the position could also involve working within other areas of clinical research. Candidates should be able to work independently, have experience and ability in computer-oriented data analysis and statistical programming, and excellent oral and written communication skills. Prior experience in health services research that uses electronic medical records data is desired but not required. At least 1 year of professional programming experience in SAS (preferred), SQL programming, STATA, and/or R is required (evidence of experience based on classwork or certifications can be substituted for professional experience). The position allows for remote work arrangements. Preferred Education and Experience: will hold MS, ScM, MSPH, or MPH in Biostatistics, Statistics, Data Science, Mathematics or equivalent. Appropriate candidates with a terminal degree (PhD, DrPH, MD) are eligible for staff SRA positions, but may be better suited for the faculty SRA track. The candidate is expected to have advanced level of experience in using SQL, SAS/STATA to manage, analyze data and contribute to study planning (example: sample size/power computations) are desired. Job Responsibilities and Duties: Analysis of data (35%): This will include the interim and or final data analysis of datasets of varying sizes that result from VA funded studies. Derived datasets will be created by the biostatistician, validation of analyses and programs will be conducted and reports that includes tables and figures, descriptions of methods used, and interpretations of results will be included. Participate in manuscript writing. Data management (30%): This will include working on IRB and DART forms to request data from VINCI and other sources of data, cohort formation and preparing analytic datasets. Participate in study design development (25%): This will include working with the protocol lead statistician and clinicians on proposals in which analysis plans are described, sample size justifications are proposed, and results are presented in a clear and transparent manner for interpretation by the appropriate audience. Administrative support (10%) MUSC is a drug free workplace. We are an equal opportunity employer promoting diversity. Please send statement of research interests, three reference letters, and curriculum vitae to: Mulugeta Gebregziabher, PhD Professor and Vice Chair, Department of Public Health Sciences Medical University of South Carolina gebregz@musc.edu