Data Analyst C/D (The Palliative and Advanced Illness Research Center)

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Posted Job Title

Data Analyst C/D (The Palliative and Advanced Illness Research Center)

Job Profile Title

Data Analyst C

Job Description Summary

The Palliative and Advanced Illness Research Center is seeking two data managers to join a team of data managers and biostatisticians supporting the Center’s clinical trials, observational cohort studies, and pilot programs. The data managers will be responsible for deeply understanding PAIR’s study protocols and translating that understanding into the creation of appropriately structured analytic files, queries, data collection tools, data pipelines, and external data requests with data use agreements. The data managers must demonstrate a strong knowledge of research concepts and data structures, ideally in the healthcare setting, and communicate effectively and openly with collaborators, internal and external, about technical requirements and study design considerations. These individuals will also be responsible for planning for data acquisition, preservation, and destruction; establishing data use agreements on behalf of the Center; and maintaining complete documentation.

The successful candidates must have significant data programming experience in R (preferred) and/or Python, and in SQL; experience with MS Access and SAS are also beneficial. Above all, attention to detail and the ability to clearly and concisely convey nuanced technical information to different audiences (project managers, investigators, technical and non-technical external stakeholders, biostatisticians, other data managers) will be essential to this individual’s success in the position.

Job Description

Job Responsibilities

The Palliative and Advanced Illness Research Center is seeking two data managers to join a team of data managers and biostatisticians supporting the Center’s clinical trials, observational cohort studies, and pilot programs. The data managers will be responsible for deeply understanding PAIR’s study protocols and translating that understanding into the creation of appropriately structured analytic files, queries, data collection tools, data pipelines, and external data requests with data use agreements. The data managers must demonstrate a strong knowledge of research concepts and data structures, ideally in the healthcare setting, and communicate effectively and openly with collaborators, internal and external, about technical requirements and study design considerations. These individuals will also be responsible for planning for data acquisition, preservation, and destruction; establishing data use agreements on behalf of the Center; and maintaining complete documentation.

The successful candidates must have significant data programming experience in R (preferred) and/or Python, and in SQL; experience with MS Access and SAS are also beneficial. Above all, attention to detail and the ability to clearl