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Research Fellow - Artificial Intelligence, Data Science & Deep Learning - Dhaliwal Lab
Cincinnati Children's Hospital Medical Center
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Details
Posted: 05-Jun-22
Location: Cincinnati, Ohio
Salary: Open
Categories:
Academic / Research
Internal Number: 121668
The Division of Pediatric Gastroenterology, Hepatology and Nutrition, a pioneer in research discovery, is seeking a highly motivated Data Scientist to build a state-of-the-art machine learning digestive diseases analytical platform. The position will support an exciting multicenter study with Mayo and Cleveland Clinic, in Inflammatory Bowel Disease, to derive a multimodal deep learning predictive model of treatment response. Experience with digital pathology to automate image classification and segmentation will be highly advantageous.
The position will report directly to Dr. Dhaliwal, (Assistant Professor in the Gastroenterology division, and secondary appointments in the division of Biomedical Informatics and Anderson Center for Health System Excellence) and will interact and collaborate closely with the biomedical informatics division. The candidate must be comfortable working as part of a team, and requires effective communication with colleagues of various backgrounds, skill sets, and educational experience. The multi-disciplinary nature of the program affords great opportunity for a candidate's growth and development. We are now seeking talented and industrious AI Data/Computer Scientists to join us.
Here's What You'll Get to Do:
- Apply state-of-the-art machine learning methods to clinical and molecular data
- Contribute to cutting-edge findings in biology and health
- Develop data processing and reporting pipelines to manage and maintain data quality and provenance
- Work in a casual work environment where learning and development are keys to success
Cincinnati Children's Research and Training at a Glance:
- Among the top in NIH funding for pediatric research institutions
- Over 1.4 million square feet of research laboratory space
- 900+ scientists conducting basic, translational, and clinical research
- Over 2000 publications annually in top-tier journals
- Access to Employee Resource Groups and Mentorship programs
- Postdocs have gone on to careers in academia, biotech, pharma, teaching etc.
Learn more about the Postdoctoral Fellowship Program.
Compensation and Benefits:
- Postdoctoral Research Fellows and Associates are eligible for:
- Group Health, Dental, and Vision Insurance Plans
- Paid Time Off
- Retirement Plan
- Tuition Reimbursement
- Relocation Benefits for Eligible Hires
Learn how Cincinnati Children's is building a diverse workforce!
Living in Cincinnati:
Qualifications
EDUCATION/EXPERIENCE:
Required:
???Ph.D. in related discipline, MD, or equivalent degree
Preferred:
- PhD degree in biostatistics or computer sciences or related field AND 3 years' related experience
- Experience with computer vision, R and python, and Linux/Unix will be essential
- Understanding and experience with basic (e.g. random forest, SVMs) and advanced (e.g. deep learning, stochastic processes) machine learning methods is an asset
- Familiarity with statistical analysis of complex data including clinical data would be advantageous (insurance claims and/or electronic health records)
- Knowledge of biology is strongly encouraged
- Ability to function independently, yet collaboratively within a multidisciplinary team of various backgrounds, skill sets, and educational experience is required
- Ability to manage competing demands and deadlines with minimal supervision
- Excellent oral and written communication skills
At Cincinnati Children’s, we come to work with one goal: to make children’s health better. We believe in a team approach, both in caring for patients and their families, and in advancing science and discovery. We strive to do better, and find energy and inspiration in our shared purpose. If you want to be the best you can be, you can do it at Cincinnati Children’s.
More Jobs from This Employer
https://careers.pas-meeting.org/jobs/16920847/research-fellow-artificial-intelligence-data-science-deep-learning-dhaliwal-lab
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