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 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.

DUTIES:

Write R scripts to assess data quality, generate reports, and prepare analysis-ready datasets.

Design, test, and maintain data flows and databases to support study recruitment and data collection.

Create and maintain documentation for data resources created.

Contribute to the development of organizational systems for programs, data files, queries, and documentation files.

Review drafts and provide comments/revisions on data use agreements and develop plans to ensure their compliance.

Create flowcharts, summary documents, and other presentation aids to facilitate collective understanding of data-related workflows.

Provide training to research coordinators and project managers on data processes.

Provide constructive input in study team meetings and PAIR Center-wide discussions.

Perform other duties as assigned.

Data Analyst D : Applicants with training and experience in querying electronic health record data structures, particularly Epic Clarity, will be considered for the more senior position, which will involve composing and validating complex SQL queries to retrieve health data according to real-life clinical documentation patterns. Familiarity working with data generated from a variety of clinical processes (orders, labs, flowsheet, medications, alerts, episodes, notes, admission-discharge-transfer, appointments, referrals, etc.) will be a significant factor in evaluating candidates.

Contingent Upon Funding.

Qualifications

Required:

Experience analyzing complex data.

Experience programming in R or Python

Experience programming in SQL (or similar from other environments, e.g. SAS PROC SQL)

Excellent organizational skills and attention to detail

Excellent written and oral communication skills

Preferred:

Experience with healthcare research and concepts

Epic Clarity certifications, especially from the Clinical Data Model track

Data Analyst C :

Bachelor of Science and 2 to 3 years of experience or equivalent combination of education and experience is required. Master's preferred.

Data Analyst D:

A bachelor’s degree and 3-5 years of experience or equivalent combination of education and experience is required. Master's preferred.

Experience with querying electronic health record data structures (e.g., Epic Clarity)

Job Location - City, State

Philadelphia, Pennsylvania

Department / School

Perelman School of Medicine

Pay Range

$61,000.00 - $100,000.00 Annual Rate Salary offers are made based on the candidate’s qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job’s level. Internal organization and peer data at Penn are also considered.

Equal Opportunity Statement

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics) , citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law .

• Special Requirements
• Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

University Benefits

Health, Life, and Flexible Spending Accounts : Penn offers comprehensive med