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Atrium Health Wake Forest Baptist & Wake Forest University School of Medicine
Winston Salem, North Carolina, United States
(on-site)
Posted
25 days ago
Atrium Health Wake Forest Baptist & Wake Forest University School of Medicine
Winston Salem, North Carolina, United States
(on-site)
Job Type
Full-Time
Academic Faculty, Artificial Intelligence
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Academic Faculty, Artificial Intelligence
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
Department:85107 Wake Forest University Health Sciences - Academic WF Institute for Regen Medicine
Status:
Full time
Benefits Eligible:
Yes
Hours Per Week:
40
Schedule Details/Additional Information:
Varies
WFIRM is a multidisciplinary group of physicians and research scientist involved in a myriad of programs focused on bringing curative medicines to the patient. In addition to our world class regenerative medical programs, WFIRM is recognized as a leader in the organ-on-a-chip platform as well as pushing the boundaries of tissue engineering. Through its relationship with Virginia Tech School of Biomedical Engineering and Sciences, WFIRM is involved in developing solutions over the entire spectrum of regenerative medicine. In short, WFIRM is an unique environment ripe with opportunities for applying AI/ML across a diverse set of scientific disciplines.
Successful candidates will be responsible for some or all of the following:
- Design, develop, and validate new machine learning models that can uncover and describe the relationship between genetic and genomic variation, cellular phenotypes, and clinical conditions and symptoms.
- Design, develop, and validate new methods for characterizing variation in large cellular populations assayed in high-throughput, multi-dimensional assays.
- Design and integrate new computational methods, mathematical models, and bioinformatics approaches with molecular assays at the bench to provide mechanistic understandings of development and regeneration, discover therapies, and streamline the application of systems and synthetic biology.
- Develop computational approaches rooted in machine learning to make precise biological inferences that can not only guide experiments, but also reveal general mechanistic principles underlying cellular organization and molecular networks.
- Work in a highly collaborative and cross-disciplinary team to advance technology platforms aimed at delivering robust, quantitative, mechanistic, and scalable research and clinical benefit.
- Developing methodologies to leverage R&D data and artificial intelligence to connect different components; patients, tissues, in vitro models and in vivo models, in translational research.
- Develop, implement, and validate the application and use of modern machine learning and artificial intelligence techniques - applying robust statistical and quantitative methods for the design of experiments - to allow rigorous model evaluation, uncertainty quantification, prediction, and data generation.
- Integrate advances in diverse fields of machine learning and computer science into modern analytics infrastructure and workflows.
Essential Education and Expertise:
- Ph.D. in Computer Science, Applied Mathematics, Engineering, Computational Chemistry, Computational Biology, Physics or related field with a focus in Machine Learning or Artificial Intelligence
- Expertise demonstrated by research publications or industrial experience in modern, applied machine learning, data mining, pattern recognition, or artificial intelligence. Direct experience with and application to the analysis of complex biological datasets and phenomena is ideal.
- Excellent communication skills are a must
- Ability to comfortably interact with diverse group of scientists and physicians
- Practical and theoretical understanding of fundamental models and algorithms in supervised and unsupervised learning: generalized linear models, kernel machines, decision trees, neural networks; boosting and model aggregation; clustering and mixture modeling; Bayesian inference and model selection, variational inference, Gaussian processes, causal inference, Monte Carlo methods; dimensionality reduction and manifold learning
- Competency in programming and scripting required utilizing languages such as C/C++ and Python.
WFUSOM-1
Pay Range
$0.00 - $0.00
Our Commitment to You:
Advocate Health offers a comprehensive suite of Total Rewards: benefits and well-being programs, competitive compensation, generous retirement offerings, programs that invest in your career development and so much more - so you can live fully at and away from work, including:
Compensation
- Base compensation listed within the listed pay range based on factors such as qualifications, skills, relevant experience, and/or training
- Premium pay such as shift, on call, and more based on a teammate's job
- Incentive pay for select positions
- Opportunity for annual increases based on performance
Benefits and more
- Paid Time Off programs
- Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability
- Flexible Spending Accounts for eligible health care and dependent care expenses
- Family benefits such as adoption assistance and paid parental leave
- Defined contribution retirement plans with employer match and other financial wellness programs
- Educational Assistance Program
About Advocate Health
Advocate Health is the third-largest nonprofit, integrated health system in the United States, created from the combination of Advocate Aurora Health and Atrium Health. Providing care under the names Advocate Health Care in Illinois; Atrium Health in the Carolinas, Georgia and Alabama; and Aurora Health Care in Wisconsin, Advocate Health is a national leader in clinical innovation, health outcomes, consumer experience and value-based care. Headquartered in Charlotte, North Carolina, Advocate Health services nearly 6 million patients and is engaged in hundreds of clinical trials and research studies, with Wake Forest University School of Medicine serving as the academic core of the enterprise. It is nationally recognized for its expertise in cardiology, neurosciences, oncology, pediatrics and rehabilitation, as well as organ transplants, burn treatments and specialized musculoskeletal programs. Advocate Health employs 155,000 teammates across 69 hospitals and over 1,000 care locations, and offers one of the nation's largest graduate medical education programs with over 2,000 residents and fellows across more than 200 programs. Committed to providing equitable care for all, Advocate Health provides more than $6 billion in annual community benefits.
Academic Faculty, Artificial Intelligence
Job ID: 79555434
Atrium Health Wake Forest Baptist (www.WakeHealth.edu) is a nationally recognized academic health system in Winston-Salem, North Carolina, with an integrated enterprise including educational and research facilities, hospitals, clinics, diagnostic centers, and other primary and specialty care facilities serving 24 counties in northwest North Carolina and southwest Virginia.
It comprises: a regional clinical system with more than 300 locations, 2,100 physicians and 1,535 acute care beds; Wake Forest University School of Med...
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