Physics Informed Machine Learning Jobs in Madison, WI

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Job Category:
Academic Staff
Employment Type:
Regular
Job Profile:
Scientist I
Job Summary:
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. 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 https://idia.labs.wisc.edu/.
The 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.

Key Job 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

• 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

Department:
School of Medicine and Public Health, Department of Radiology, Tiwari Research Lab
Join UW Radiology and UW Health-A 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, 1927-when 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 Health's 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 60,000 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 environment-one that prioritizes innovation while serving the needs of all patients, including underserved populations.
Visit our official website to learn more about our work and opportunities.
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. For more information, refer to the campus benefits webpage and the SMPH Academic Staff Benefits Flyer
Required Qualifications:

• 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.

Preferred Qualifications:

• 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).

Education:
Terminal Degree Required; PhD in Engineering, Medical Physics, or a related technical field by application date.
How to Apply:
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Important: The application has only one attachment field. Upload all required documents in that field, either as a single combined file or as multiple files in the same upload area.
Upload required documents:
• Cover letter
• Resume
Your cover letter should address how your training and experience align with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes, and a candidate is selected.
University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position, you must provide proof of work authorization and eligibility to work.
The department will not be able to support a request for a J-1 waiver. If you choose to pursue a waiver and apply for our position, neither the UW nor UWMF will reimburse you for your legal or waiver fees.
Contact Information:
Amanda Joncas, ajoncas@wisc.edu
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.
Institutional Statement on Diversity:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.
The University of Wisconsin-Madison is an Equal Opportunity Employer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.
To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.
Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
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