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 Tiwaris lab. The research conducted by Tiwari lab utilizes medical imaging and clinical data to build and optimize AI and machine learning models that identify computerized image-based phenotypes and their associations with genomics and histopathology for disease characterization with the aim of developing personalized diagnostic tools towards improved early diagnosis prognosis and response to treatment for neurological conditions and other diseases. More information about our research and publications can be found at Scientist will work on interdisciplinary and translational research in personalized diagnostics towards early diagnosis prognosis and response to treatment for brain tumors neurological disorders and other diseases (e.g. breast cancer pancreatic cancer liver disease). The Scientist will be responsible for identifying clinically translatable research problems relating to these diseases; developing research methodologies and experiments to identify and utilize radiomic radio-genomic and radio-pathomic phenotypes to better characterize these diseases (e.g. building a classifier to predict disease progression or the risk of developing advanced cancer); and training students.
ADDITIONAL JOB DETAILS:
This position may require some work to be performed in-person onsite at a designated campus work location. Some work may be performed remotely at an offsite non-campus work location.
Multiple Titles: Scientist I Scientist II or Scientist III. Applicants for this position will be considered for the titles listed in this posting. The title is determined by the experience and qualifications of the finalist.
Candidates who demonstrate the following knowledge skills and abilities will be given first consideration; Candidates should have 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.
School of Medicine and Public Health Department of Radiology Tiwari Research Lab
Join UW Radiology and UW HealthA Legacy of Innovation
The University of Wisconsin Department of Radiology in partnership with UW Health has been at the forefront of clinical care imaging research and education for nearly a century. Since its inception on May 18 1927when Dr. Ernst Pohle was appointed as the first professor of Radiology the department has grown to more than 160 faculty members across 14 specialized sections serving as a key pillar of UW Healths world-class medical enterprise.
What Sets Us Apart
Collaborative Excellence: Strong partnerships with UW Health Medical Physics and leading equipment vendors drive continuous advancements in imaging.
Cutting-Edge Technology: We utilize state-of-the-art imaging in CT MR PET/CT PET/MR angiography ultrasound PACS and AI-driven medical imaging.
Robust Research Infrastructure: Dedicated support for grant writing media specialists research nurses technologists and data managers enhance investigative success.
Premier Imaging Facilities: The WIMR Imaging Sciences Center offers 60000 square feet of advanced imaging space including MRI PET/MRI PET/CT CT ultrasound angiography cyclotron radiopharmaceutical production and comprehensive small animal imaging technologies.
Together UW Radiology and UW Health are committed to advancing human health through groundbreaking clinical care pioneering research and excellence in education. We foster a respectful adaptive and accountable environmentone that prioritizes innovation while serving the needs of all patients including underserved populations.
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The starting salary for the position is $70000 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. For more information refer to the campus benefits webpage and the SMPH Academic Staff Benefits Flyer
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.
Previous grant writing experience; manuscript writing; program management and/or development experience.
Experience contributing to clinical research projects including IRB protocols and clinical trials.
Knowledge of statistical analysis and data visualization tools (R SAS Matplotlib Seaborn Plotly).
Terminal Degree Required; PhD in Engineering Medical Physics or a related technical field by application date.
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