Research Scientist, Advanced Computer Vision and Analytics for Inflammatory Bowel Disease

• Conduct supervised and independent research applying computational and engineering principles to challenges in IBD.
• Develop, implement, and test novel algorithms, models, and machine learning methodologies.
• Analyze complex, high-dimensional physiological and clinical data.
• Contribute to the design and execution of clinical research protocols.
• Prepare high-impact manuscripts for peer-reviewed publication and present findings at national/international scientific conferences.
• Collaborate effectively within a multidisciplinary team environment.
• There are no direct patient care responsibilities; however, the role involves close interaction with clinical data and collaborators within the UVA and Duke Schools of Medicine., This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.

• Doctoral degree (PhD or equivalent) in Data Science, Engineering (Systems, Biomedical, Electrical, Mechanical, Chemical), Applied Mathematics, Computer Science, Physics, or a related quantitative field, completed at the time of hire.
• Strong publication record commensurate with experience, demonstrating original research contributions.

Preferred Qualifications

• Demonstrated expertise in one or more of the following:
• Computer vision - deep learning methods to improve interpretation and understanding of high-resolution medical imagery.
• Feature engineering - feature extraction from physiological signals.
• Machine Learning / AI: Supervised/unsupervised learning, deep learning, reinforcement learning, learning-based control, model validation.
• Proficiency in programming languages commonly used in research (e.g., Python).
• Experience with physiological modeling.
• Experience in analyzing real-world physiological data from imagery and genetic signatures.
• Excellent analytical, problem-solving, critical thinking, and communication (written and oral) skills.
• Ability to work independently and collaboratively in a dynamic research environment.

Position Details

This is a full-time, exempt level, benefitted restricted position at the School of Data Science at the University of Virginia in Charlottesville, VA. This position is dependent upon project need, availability of funding, and continued satisfactory performance., Applicants must be currently authorized to work in the United States. For this role, the University will not sponsor or consider candidates requiring sponsorship for employment visas now or in the future., Education: Requires a doctoral degree or master's degree with significant experience.

Experience: None

Pulled from the full job description

• Tuition reimbursement
• Parental leave
• Health insurance
• Paid time off
• Vision insurance
• Dental insurance
• Life insurance, * UVA Health Plan: the choice between 3 different health plans
• Vision Coverage
• Dental Plan
• Benefit Savings Plans
• Life Insurance
• Disability Benefits
• Paid Time Off: starting with 22 days of time off per year, 12 or more holidays, 8 weeks parental leave

Education Benefits (visit Education Benefits for additional information) After six months of employment, full-time and part-time (20+ hours) employees in a benefits-eligible position are offered options of:

• Use of up to $5250 per calendar year towards a for-credit degree program or for-credit certificate program
• Use of up to $2000 of the total $5250 noted above per calendar year for professional development including job-related training, conferences, and initial certificate exams.

The University of Virginia School of Data Science-the first of its kind in the nation-advances discovery, innovation, and societal impact through collaborative, open, and responsible data science research and education. Founded in 2019, the School brings together expertise across business, computation, engineering, humanities, law, mathematics, social sciences, statistics, and law to address complex, real-world challenges. Its academic offerings include a B.S. in Data Science, an undergraduate minor, residential and online M.S. in Data Science programs, and a Ph.D. in Data Science, all designed to prepare students for a rapidly evolving data-driven world.