Hiring.Camp

Research Associate-2

floridatech

·

Yesterday

Location
Florida Tech Main Campus Melbourne, United States of America
Type
Full-time
Department
Education
Seniority
Entry
Education
PhD
Source
Workday

Description

Conduct advanced research in statistics, data analytics, and machine learning with an emphasis on multimodal data fusion and predictive modeling for lung cancer risk assessment. Develop and evaluate statistical and AI-based methods for feature selection, biomarker identification, and risk prediction using heterogeneous biomedical data. Contribute to multidisciplinary research projects, identify emerging research opportunities, assist in the preparation of grant proposals and technical reports, and collaborate with faculty, investigators, and external partners. Provide technical leadership, mentor junior researchers as appropriate, and support the dissemination of research findings through high impact factor journals, presentations, and grant proposals.

The successful candidate will hold a Ph.D. in statistics, computer science, computer engineering, biomedical engineering, or related fields and possess strong expertise in statistics, machine learning, and biomedical data analysis. The position requires excellent analytical and technical skills, the ability to develop innovative research methodologies, and experience working in collaborative multidisciplinary environments. The candidate should demonstrate leadership, effective communication, and the ability to contribute to research strategy, proposal development, technical documentation, dissemination of research findings through high impact factor journals, and collaborations with internal and external stakeholders.

Equal Opportunity

Florida Institute of Technology does not discriminate on the basis of race, color, national or ethnic origin, religion, disability, age, genetic information, marital status, citizenship status, veteran status, and other legally protected characteristics in its activities and programs. In accordance with Title IX of the Education Amendments of 1972, Florida Tech does not discriminate on the basis of sex.  Inquiries concerning the application of the Non-Discrimination and Anti-Harassment policy may be directed to the Equal Opportunity Director and Investigator at 150 West University Blvd, Melbourne, FL 32901, or email [email protected], or +1 321-674-7153; or to the U.S. Department of Education Office for Civil Rights.

Americans with Disabilities Act

Please notify us at least five days in advance if a reasonable accommodation for a disability is needed by calling the Office of Human Resources at 321-674-8100.

Annual Security & Fire Safety Report

The federal Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act) requires colleges and universities, both public and private, participating in federal student aid programs to disclose campus safety information, and imposes certain basic requirements for handling incidents of sexual violence and emergency situations.

Florida Tech’s 2025 Annual Security and Fire Safety Report includes statistics for the previous three years concerning reported crimes that occurred on campus; in certain off-campus buildings or property owned or controlled by Florida Tech; and on public property within, or immediately adjacent to and accessible from, the campus.

The numbers provided include crime statistics that were reported to local law enforcement agencies, campus security and other Campus Security Authorities.

The report also includes institutional policy statements regarding campus safety and security measures; descriptions of prevention and awareness programs; related university procedures and important guidance; and other essential safety information.

You can obtain a printed copy of this report at the Department of Security Welcome Center located at 3126 Panther Place, during normal business hours, or by accessing the following website 2025 Annual Security and Fire Safety Report.

Official Transcripts

Official transcripts of all collegiate work must be sent directly from the attended institution to the Office of Human Resources prior to the first day of employment. All international degrees must have a course-by-course official evaluation and translation sent to the Human Resources Office directly from an evaluation company affiliated with the National Association of Credential Evaluation Services, Inc. (NACES).


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Skills

Machine Learning

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