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Biostatistician

University of North Carolina- Chapel Hill

NC-Chapel-Hill, NCJob$64–82K/yrSeen 1w agoSeen in employer's feed 3 days ago

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At a glance

Compensation
$64–82K/yr
Location
NC-Chapel-Hill, NC
Work Authorization
Not specified

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Job overview

The Biostatistician serves as an entry-level practicing biostatistician supporting cohort observational studies and/or clinical trials at the Collaborative Studies Coordinating Center. The role provides statistical support to help meet sponsor deliverables and ongoing study needs. It involves study design, data management and analysis, statistical programming, interpretation of results, and collaboration with investigators, field center personnel, and research teams.

Skills & qualifications

RequiredNice to have

Skills

Observational Study DesignClinical Trial DesignData AnalysisResearch Data ManagementStatistical ProgrammingLinear ModelingLog-Linear ModelingSurvival AnalysisSurvey SamplingDeadline ManagementMultitaskingSASData InterpretationData EvaluationWritten CommunicationOral CommunicationInterpersonal SkillsConfidentialityAttention to DetailMicrosoft WordPowerPointExcelElectronic Mail SoftwareElectronic Information Resources

Qualifications

Complex Health Research ExperienceHigh-Level Statistical Software Experience

Full job description

Employment Type: Permanent Staff (EHRA NF)

Vacancy ID: NF0010131

Salary Range: $63,750 - $82,450

Position Summary/Description:

The primary purpose of this Biostatistician position is to serve as an entry level practicing biostatistician on cohort observational studies and/or clinical trials at the Collaborative Studies Coordinating Center. These studies need to increase permanent statistical support staffing to ensure sponsor deliverables are met and to handle the ongoing statistician demands of our studies.

Education and Experience:

Experience working on complex health research projects requiring complex data management and analysis is highly desirable. Experience with other high-level statistical software packages (such as R or M-plus) in addition to SAS is desirable but not essential.

Essential Skills:

A working knowledge of applied aspects of observational and clinical trials study design, data analysis, research data management and statistical programming is required. Experience with applied data analysis, such as linear and log-linear modeling, survival analysis and survey sampling, is recommended. This position demands the ability to meet deadlines and manage multiple assignments concurrently in this multi-center collaborative research environment. Intermediate-level computing skills, including SAS software, are essential to carrying out the statistical methods required of this position. The position requires the ability to analyze data and then interpret and evaluate the results. Demonstration of effective communication skills in the presentation of statistical results in both written and oral form is important. Good interpersonal skills are required for the position’s frequent interaction with external stakeholders such as investigators and field center personnel as well as internal team members comprised of research staff, programmers, and other statisticians. The employee must understand and protect the confidentiality of study data to ensure the protection of human subjects involved in the research.

Absolute accuracy of work and detailed oriented is required in this position. Results of the study depend upon accuracy of work in all phases and by all members of the project team. The consequences of an error include potential harm to the public by jeopardizing the safety of study participants and by its potential impact on health policy decisions. The reputations of the Collaborative Studies Coordinating Center ( CSCC ), the School of Public Health, Department of Biostatistics and the University of North Carolina at Chapel Hill are dependent on the validity and accuracy of work performed by this position. Proficiency with SAS , MS Word, PowerPoint, Excel, and other MS Office and electronic mail software, and experience with electronic informational resources is required.

AA/EEO Statement:

The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.

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