Job Summary
The role involves engaging in innovative research focused on the development and assessment of machine learning and computational techniques for analyzing medical data. This includes tasks such as dataset preparation, experimental design, and result interpretation. The position also requires collaboration with faculty, clinicians, and fellow researchers, with an emphasis on publishing research findings and contributing to research proposals and protocols.
Responsibilities
- Conduct original research in machine learning and computational methods applied to medical data.
- Prepare and curate datasets for research initiatives.
- Design and implement experiments to evaluate various methods.
- Analyze and interpret research results effectively.
- Work collaboratively with faculty, clinicians, and research teams.
- Publish findings in reputable journals and present results at conferences.
- Contribute to funding proposals and research protocols.
- Provide guidance to students and junior researchers as needed.
Qualifications
- PhD or an equivalent degree in computer science, artificial intelligence, engineering, applied mathematics, statistics, or a closely related quantitative discipline.
- Demonstrated strong computational and analytical capabilities.
- Research experience along with evidence of scholarly output.
- Familiarity with machine learning techniques and medical data analysis.
- Proficient in programming, preferably in Python.
- Excellent communication skills in English, both written and spoken.
- Able to work autonomously as well as collaboratively in team settings.
University of Pittsburgh provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
