How to Apply
Candidates should submit the following as one document:
1. Cover Letter / Letter of interest addressed to Lisa Kelley
2. Resume
In order for the Career Portal system to accept a cover letter, please include this as a page of your resume document.
Job Summary
This is an 80% effort (32hrs/week) 3-Year Term-Limited Appointment with the potential for a 6 moth extension based on future funding.
Seeking a Research Assistant for a paid opportunity as an employee to support the execution of a psychosocial research study: Social Genomic Mechanisms of Health Disparities among AYA (Adolescent and Young Adult) Cancer Survivors.
The goal of this project is to identify genomic pathways by which social and psychological factors influence gene expression and subsequent morbidity, mortality and quality of life among adolescent and young adult cancer survivors.
Responsibilities*
- Design and develop robust data pipelines for data ingestion, processing, and storage.
- Integrate data from various sources, including manual entry forms, Redcap, email (raw text and PDF attachments), and third-party services (e.g., Zapier).
- Utilize Python scripts for data extraction, transformation, and loading (ETL).
- Manage and maintain data in structured formats.
- Develop automated reporting solutions and interactive dashboards.
- Ensure data quality, consistency, and security throughout the pipeline.
- Collaborate with researchers and other stakeholders to understand data requirements and deliver solutions.
Required Qualifications*
- Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
- 3+ years of experience in data engineering, data pipeline development, or a related role. Proven track record of building and maintaining data pipeline projects.
Technical Skills :
- Proficiency in Python for scripting and automation.
- Experience with data integration tools (e.g., Zapier).
- Knowledge of data formats (XLSX, CSV, JSON) and data transformation techniques.
- Familiarity with data storage solutions and database management. Ability to design and implement ETL processes.
Software and Tools:
- Experience with Redcap or similar data collection tools.
- Proficiency in using form-based data entry systems.
- Competence in parsing unstructured text.
- Knowledge of automated reporting and dashboarding tools (e.g., Tableau, Power BI).
Other Skills:
- Strong problem-solving abilities and attention to detail.
- Excellent communication skills, both written and verbal.
- Ability to work collaboratively in a team environment.
- Self-motivated and capable of working independently.
Desired Qualifications*
- Experience with API integration and data access.
- Familiarity with data governance and compliance best practices.
- Understanding of data visualization techniques and tools.
- Experience with project management methodologies and tools.
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.
This position will be in-person at the School of Social Work Building working 32 hours over 4-5 days per week. Schedule to be determined after the position is filled.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.
