We are seeking a trained Biostatistician to assist with data management and monitoring for UNITAID-funded project. The goal of the grant is to conduct studies aimed at reducing TB incidence and deaths among people living with HIV(PLHIV) (15-49) and child contacts through sustainable implementation of affordable TB preventive therapies, as well as assess risks associated with these therapies among pregnant women living with HIV. The incumbent will have a primary appointment in the Johns Hopkins School of Medicine and will work in a multidisciplinary environment collaborating with investigators based at the Bloomberg School of Public Health, as well as our international partners based in Sub-Saharan Africa. The types of studies conducted under this grant include individual- and cluster-randomized clinical trials, as well as observational studies.
Primary responsibility will be implementing best practices of data management, providing study design and analytic support for various studies and secondary analyses for publications, presentations and grant submissions. This position will routinely interact with a multidisciplinary team. Must have ability to manage multi-project workload, both development and maintenance. Depending on the task and project involved the position may be expected to lead, work as part of a team, or work individually to complete the work as necessary.
Specific Duties & Responsibilities
Across ongoing studies, as well as the two newly initiating studies, the successful candidate will be required to work with the project Lead Statistician to provide the following support.
For ongoing studies, the databases will be developed and access to these will be provided. For new studies, responsibilities may include developing the study databases on a platform described in the protocol, and this may include using the Research Electronic Data Capture (REDcap) system, for which training will be available.
Conduct data monitoring and regular summaries of the data as described in the protocols.
Assist the study statistician will interim data analyses if specified in the protocols this may entail assembling the analytic data sets, conducting analyses and generating associated figures and tables.
Assemble analytic datasets with input from the study statistician for the primary outcomes analysis and any sub-analyses deemed necessary for the study.
Attend study-related meetings and provide data updates as needed. The frequency of these will be determined by the investigative teams.
Contribute to manuscript drafting and other results dissemination activities.
Master's Degree in biostatistics, epidemiology, or related quantitative field.
Minimum of one-year related experience.
Classified Title: Biostatistician Role/Level/Range: ACRP/04/MD Starting Salary Range: $54,080-$74,390-$94,710 Annually (Commensurate with experience) Employee group: Full Time Schedule: Monday-Friday, 8:30am-5:00pm Exempt Status: Exempt Location: Remote Department name: SOM DOM Infectious Disease Personnel area: School of Medicine
Total Rewards The referenced salary range is based on Johns Hopkins University's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/
Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines:
JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.
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