Research Project Assistant (Temp)

How to Apply

How to apply - In order for the Career Portal system to accept a cover letter/letter of interest, please include this as a page of your resume document.

Submit:

• Cover letter / letter of interest addressed to Lisa Kelley ? please include examples of work demonstrating the technical skills and competencies required for this position

• Resume

Summary

JOB SUMMARY

• Job Title: Research Project Assistant

• Duration: 1-year, with possible renewal for 1-2 years

• Hours: 25-30 hours per week, onsite

• Payrate: $20-$25/hour, depending on experience

We are seeking a skilled Data Pipeline Engineer to assist in the conduct of a large National Institutes of Health-sponsored multi-institutional study. The ideal candidate will be responsible for designing, building, and maintaining an efficient data pipeline to ensure the seamless flow of data across a multi-site research project. This role requires strong technical competencies, attention to detail, and the ability to work collaboratively.

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*

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.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.

Job Detail

Job Opening ID

251158

Working Title

Research Project Assistant (TEMP)

Job Title

RESEARCH ASST II (TEMP)

Work Location

Ann Arbor Campus

Ann Arbor, MI

Full/Part Time

Part-Time

Regular/Temporary

Temporary

FLSA Status

Nonexempt

Organizational Group

School Social Work

Department

School of Social Work

Posting Begin/End Date

7/02/2024 - 7/16/2024

Salary

$20.00 - $25.00

Career Interest

Temporary Job Opening

Apply Now