Medical University of South Carolina
UNIV - Statistician II - Surgery: CT Surgery
Medical University of South Carolina, Charleston, South Carolina, United States, 29401
UNIV - Statistician II - Surgery: CT Surgery
The Department of Surgery, Division of Cardiothoracic Surgery seeks candidates for a Biostatistician position. This individual will collaborate with faculty members in the division and have primary responsibility for analysis and presentation of project data. Job Duties: Assist with study design and develop analysis plans: The statistician will meet with Arman Kilic, MD, faculty member in the Division of Cardiothoracic Surgery on a weekly basis. During these weekly meetings a review of active project requests will be conducted. During this phase, the statistician will play an integral role in reviewing the study request, determining feasibility, and devising a plan for study design and analysis. A review of proposed Tables and Figures will be conducted as well during this stage. Participate in regularly scheduled meeting and present statistical analyses in tabular or figure format for manuscripts: The statistician will meet with Dr. Kilic on a weekly basis and will meet ad hoc with other faculty members with active data requests. The statistician will conduct the planned statistical analyses and present the findings in Tables and Figures that can be incorporated into presentations and/or manuscripts. Critically reviewing and co-authoring scientific manuscripts: The statistician will be acknowledged as a co-author on presentations and manuscripts resulting from their analyses. The statistician will have an opportunity to review drafts of this work and provide critical feedback before submission. In particular, the statistician will play an important role in drafting or confirming that the methods section of the paper and statistical approaches are communicated in an accurate manner. Other duties as assigned: Other duties will include supervising medical students, surgical residents, or others who may be conducting any type of statistical analysis independently to ensure accuracy and appropriateness in approach. Preferred experience: A Master's degree or PhD in mathematics, statistics or biostatistics, or a related field. Minimum of 2 years experience with statistical analysis. Experience in the health care industry is preferred. Computing skills including MS office and knowledge in relevant software packages such as Stata, SAS, or SPSS is required. Experience with machine learning models and programming in R or Python is highly desired although not required. Additional Job Description: The Department of Surgery is dedicated to ensuring the voices of our trainees, staff, faculty, and patients are heard; their thoughts are respected and their feelings are valued. We pride ourselves on creating an inclusive culture dedicated to helping shape the field of surgery to be more diverse. We value our residents, fellows, faculty, and staff of every race, religion, national origin, sexual orientation, gender identity, and disability. Our goal is to continue to expand our diversity within our talented team, which leads to even more inclusive patient-centered care. The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need. Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees.
The Department of Surgery, Division of Cardiothoracic Surgery seeks candidates for a Biostatistician position. This individual will collaborate with faculty members in the division and have primary responsibility for analysis and presentation of project data. Job Duties: Assist with study design and develop analysis plans: The statistician will meet with Arman Kilic, MD, faculty member in the Division of Cardiothoracic Surgery on a weekly basis. During these weekly meetings a review of active project requests will be conducted. During this phase, the statistician will play an integral role in reviewing the study request, determining feasibility, and devising a plan for study design and analysis. A review of proposed Tables and Figures will be conducted as well during this stage. Participate in regularly scheduled meeting and present statistical analyses in tabular or figure format for manuscripts: The statistician will meet with Dr. Kilic on a weekly basis and will meet ad hoc with other faculty members with active data requests. The statistician will conduct the planned statistical analyses and present the findings in Tables and Figures that can be incorporated into presentations and/or manuscripts. Critically reviewing and co-authoring scientific manuscripts: The statistician will be acknowledged as a co-author on presentations and manuscripts resulting from their analyses. The statistician will have an opportunity to review drafts of this work and provide critical feedback before submission. In particular, the statistician will play an important role in drafting or confirming that the methods section of the paper and statistical approaches are communicated in an accurate manner. Other duties as assigned: Other duties will include supervising medical students, surgical residents, or others who may be conducting any type of statistical analysis independently to ensure accuracy and appropriateness in approach. Preferred experience: A Master's degree or PhD in mathematics, statistics or biostatistics, or a related field. Minimum of 2 years experience with statistical analysis. Experience in the health care industry is preferred. Computing skills including MS office and knowledge in relevant software packages such as Stata, SAS, or SPSS is required. Experience with machine learning models and programming in R or Python is highly desired although not required. Additional Job Description: The Department of Surgery is dedicated to ensuring the voices of our trainees, staff, faculty, and patients are heard; their thoughts are respected and their feelings are valued. We pride ourselves on creating an inclusive culture dedicated to helping shape the field of surgery to be more diverse. We value our residents, fellows, faculty, and staff of every race, religion, national origin, sexual orientation, gender identity, and disability. Our goal is to continue to expand our diversity within our talented team, which leads to even more inclusive patient-centered care. The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need. Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees.