Research Assistant II (Temp)

Kappaalphapsi1911

Ann Arbor, Northern (MI, KY)

Hybrid

USD 35,000 - 50,000

Full time

3 days ago
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Job summary

The University of Michigan's Gilbert S. Omenn Department of Computational Medicine and Bioinformatics is seeking a Research Assistant II (Temp) to support computational biomedical research projects.

The role involves handling research datasets and applying computational and statistical methods under the PI's supervision. Responsibilities include data processing, quality control, performing analyses, and preparing materials for presentations and manuscripts while contributing to reproducible

Qualifications

  • Experience performing statistical analyses using established protocols.
  • Ability to implement and evaluate computational methods for biomedical datasets.
  • Ability to document workflows and results for reproducibility.

Responsibilities

  • Process, organize, and QC research datasets.
  • Conduct statistical and computational analyses per project protocols.
  • Implement and evaluate computational or ML methods as needed.
  • Prepare figures, tables and summaries of results.
  • Document workflows and results for reproducibility.

Skills

Statistical analysis
Computational methods
Literature reviews

Education

High School Diploma

Job description

Mission StatementMichigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally.Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Job Summary

The Gilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan is seeking a Research Assistant II (Temp) employee. The Research Associate will support computational biomedical research projects in the PI's laboratory. The position will involve working with research datasets and assisting with the implementation, evaluation, and application of computational and statistical methods.

Responsibilities

*Specific responsibilities may include:

  • Processing, organizing, and performing quality control of research datasets.
  • Conducting statistical and computational analyses using established research protocols.
  • Implementing and evaluating computational, statistical, and/or machine-learning methods.
  • Performing literature reviews relevant to assigned research projects.
  • Generating figures, tables, and summaries of research findings.
  • Documenting computational workflows, methods, and results to support reproducible research.
  • Participating in research meetings and discussing analytical results with the PI and other research team members.
  • Assisting with preparation of research results for presentations, manuscripts, and other scholarly products.
  • Performing other research-related duties as appropriate for the assigned project.
Required Qualifications

*High School Diploma

Modes of WorkPositions 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.

Background Screening

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

U-M EEO Statement

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.

PDN-a29d4845-4dfb-4556-9524-24d47dd9e3cd

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