Job Title: Research Scientist
Department: Orthopedic Surgery
Shift: 1st
Specialty: Research
Job Number: 2023-1870
Date Posted: 05/15/2023
Position Type: Research
Job Qualifications:
Research Scientist
This position is funded by an NIH grant on the relationship between exercise and spine health. The Research Scientist will develop medical imaging and data science tools for assessing spine health. The Research Scientist will evaluate data and prepare final reports/papers based on experimental results. The Research Scientist will exemplify the Rush mission, vision, and values and act in accordance with Rush policies and procedures.
Job Responsibilities:
Plans and directs experiments related to exercise and spine health, including the planning and execution of an assigned project funded by an NIH grant.
Responsible for the methods, management, and organization of the laboratory.
Identifies research projects, experiments, and potential research directions related to research activities; collects, evaluates, interprets, and provides documentation of research data to accomplish research objectives. Maintains careful records of all work performed.
Provides direction and training to other laboratory personnel, residents, and students.
Provides assistance with data collection and preparation of manuscripts, research papers, and/or grant proposals for presentation and/or publication.
Maintains a safe laboratory environment and ensures compliance with governmental and University policies, procedures, rules, and regulations.
Operates and maintains laboratory and specialized scientific equipment in the lab space. Ensures that laboratory supplies are maintained on a consistent basis.
Collaborates with statisticians, research coordinators, and staff from other departments.
May be responsible for animal handling and for working with animal tissues.
Other duties as assigned.
Required Job Qualifications:
Master's Degree in basic sciences or relevant field.
3 years of research experience.
Expertise in developing computer code for data analysis in MATLAB, Python, R, or equivalent.
Excellent communication and analytical skills.
Good technical writing skills.
Ability to prioritize and manage own work.
Clear interest in collaborative, multidisciplinary teamwork.
Highly-motivated, enthusiastic and detail-oriented.
Ability to work independently.
Preferred Job Qualifications:
Doctoral Degree in Engineering, Biomechanics, Exercise Science, or Physiology PhD preferred.
Expertise biomedical imaging (MRI, PET, CT) and data analysis, computer vision, histological characterization
Expertise in working with relevant experimental models of disease.
Company Highlights:
Ranked among the top academic medical centers in the country, Rush University Medical Center is an outstanding place to enhance your career. Everything we do centers on one goal: improving patient care.
The Association for the Accreditation of Human Research Protection Programs (AAHRPP) has awarded Rush full accreditation for three years. Rush is one of the first academic medical centers in Illinois to receive this accreditation.
As an academic medical center, Rush University Medical Center in Chicago, Illinois, is committed to advancing medical knowledge through research. Investigators at Rush are involved in more than 1,600 projects, including hundreds of clinical studies to test the effectiveness and safety of new therapies and medical devices, as well as to expand scientific and medical knowledge.
RUMC offers a competitive salary, outstanding benefits & the professional advantages of an environment that supports your development & recognizes your achievements.
Rush University is home to one of the first medical colleges in the Midwest and one of the nation's top-ranked nursing colleges, as well as graduate programs in allied health, health systems management and biomedical research.
Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
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