Live In Operations Research Engineer Jobs in Atlanta, GA

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.

KEY RESPONSIBILITIES:

• Under minimal supervision, performs a variety of defined research and laboratory tasks requiring engineering knowledge according to prescribed protocols.
• This includes integration of hardware and software for custom laboratory equipment and interfacing with engineering support at companies.
• Uses independent judgement in applying or adapting engineering research techniques in experiments, including design and construction of electrical and/or mechanical parts for research purposes.
• Able to independently select and use specialized software for electrical circuit and mechanical design, construction of parts, and/or working with engineering companies to develop designs and ensure that design specifications are met.
• Sets up and performs experiments with minimal supervision.
• Ensures that adequate supplies are purchased for performing experiments.
• With minimal supervision maintains appropriate certifications for performance of experiments (i.e. IRB, IACUC protocols and other lab certifications).
• May assist in protocol design for experimental and/or computational studies.
• Investigates and proposes alterative experimental and computational approaches for consideration by a principal investigator; this includes hardware and software development.
• Assists in planning and scheduling research procedures.
• Demonstrates and trains other in the proper use of research techniques, including laboratory equipment, data analysis, and computerized methodologies.
• Calibrates, troubleshoots, and performs routine repair and maintenance of equipment and/or computers with minimal supervision.
• Develops data processing and analysis procedures using specialized engineering software such as Matlab, LabView, Python, Vicon Workstation, SolidWorks, etc., using matrix algebra, calculus, and differential equations, Fourier analysis, as well as other engineering analysis techniques; create accompanying graphs, tables, and other data compilation as needed.
• Reviews literature for related research developments and techniques and compiles findings.
• Monitors experimental and data analysis processes to maintain quality assurance standards.
• Records results of studies, compiles and analyzes data and prepares engineering analyses for plotting, statistical analysis, and visualization.
• May assist in preparation of figures and text for grants and papers.
• May co-author or co-present research with PI as collaborating author.
• Performs other duties as required.

ADDITIONAL JOB DETAILS:

• Responsibilities include analysis of large radiographic imaging or digital pathology datasets, managing complex databases, conducting advanced data analytics, mapping and generating result summaries and methodologic documentation appropriate for the project, testing and developing novel computational approaches as required by various research goals particularly in the field of medical imaging AI research, and contributing to dissemination efforts.
• Provide interpretation of various statistical analyses and results, develop predictions, and make recommendations on overall study design.
• Understanding of computational imaging data formats (eg. MHA, NIFTI).
• Experience with public databases (e.g. TCGA, TCIA, IDC).
• Familiarity with APIs, database querying, and data management.
• Experience with computational imaging software packages (eg. ITK Snap, 3D Slicer, PyTorch, PyRadiomics,) and ability to adapt and implement new software, as necessary.

MINIMUM QUALIFICATIONS:

• A bachelor's or master's degree in Biomedical Engineering or related engineering/quantitative science field, and two years of experience in biomedical laboratory research, OR an equivalent combination of experience, education, and training.
• Coursework in calculus, differential equations, and linear algebra as well as strong Matlab/Python programming skills required.
• Experience in biomechanics, physiology, and/or neuroscience research.
• Strong organizational and communication skills, and ability to work with a diverse, interdisciplinary team required.

NOTE: Position tasks are required to be performed in-person at an Emory University location; working remote is not an option. Emory reserves the right to change this status with notice to employee.

Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).

Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.