Scientist - Tiwari Research Lab
UW School of Medicine and Public Health · Madison, WI · 3 wk ago
Research$70k/yrFull-time
About the role
The Department of Radiology, University of Wisconsin - Madison, School of Medicine & Public Health is seeking a Scientist who will play a key role in developing and translating next generation radiomics (machine learning in radiology imaging) methods for projects ongoing in Dr. Pallavi Tiwari's lab.
Responsibilities
- Assists with the identification of research problems and the development of research methodologies and procedures
- Writes or assists in developing grant applications and proposals to secure research funding
- Attends and assists with the facilitation of scholarly events and presentations in support of continued professional development and the dissemination of research information
- Collects and analyzes research data, conducts experiments and interviews, and documents results according to established policies and procedures under general supervision and limited responsibility
- Collsates and analyzes research data, conducts experiments and interviews, and documents results according to established policies and procedures under general supervision and limited responsibility
- Conducts literature reviews, prepares reports and materials, and disseminates information to appropriate entities
- Serves as a main point of contact and liaison with internal and external stakeholders providing information and representing the interests of a specialized research area
Requirements
- At least 3 years of post-doctoral research experience in medical imaging, oncology, and/or machine learning and artificial intelligence in an academic or similar research environment
- Productivity evidenced by at least 2 first-author papers or preprints in the last 5 years
- Prior experience handling large imaging data sets and bioinformatic analysis
- Programming experience in Matlab, Python and/or R
Qualifications
- Terminal Degree Required; PhD in Engineering, Medical Physics, or a related technical field by application date
Skills
- Demonstrated ability to work effectively in a collaborative manner with faculty and staff, as well as other institutional representatives
- Strong organizational, written, and verbal communication skills
- High levels of critical thinking, excellent technical skills, and a strong track-record of accomplishment and productivity in research as evidenced by high-quality publications related to medical imaging, oncology, and/or machine learning and artificial intelligence
Benefits
- Compensation: The starting salary for the position is $70,000 annually; but is negotiable based on experience and qualifications
- Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits
Pay
- The starting salary for the position is $70,000 annually; but is negotiable based on experience and qualifications
Schedule
- Not specified