Idaho Occupational Therapy Associaton
Data Scientist / Machine Learning
Idaho Occupational Therapy Associaton, California, Missouri, United States, 65018
W-2 Open Positions Need to be Filled Immediately.
Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/third-party recruiters.Job Overview
Specialized Area:
Machine learningJob Title:
Data Scientist / Machine LearningLocation:
To Be Discussed LaterDuration:
6 MonthsDomain Exposure:
Government, Education, IT/SoftwareWork Authorization:
Client: To Be Discussed LaterEmployment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)Immediate direct end client requirement. In-person interview is required.Artificial intelligence scientist/Machine learning expert will develop and implement novel mathematical and algorithmic techniques for deep learning applications. These can be widely applicable or highly project-specific. The main focus for this position's research direction is in quantifying and developing methods for effective transfer learning in clinical, imaging, and other domains for the application to new small sample size studies. The output will be new tooling, algorithms, and novel publications which are effective in a prospective manner.Responsibilities
Lead key AI pilots to ensure successful completion and develop plans to integrate capabilities into the normal early clinical development process.Research into the construction of transfer learning metrics for imaging, IHC and clinical neural networks.Develop new and novel models using clinical data and integration of multiple sub-networks.Provide mathematical support and guidance to other AI team members and scientific stakeholders and collaborators.Possess in-depth knowledge of multiple real-world data assets and share information about these data to business partners.Qualifications
Experience (3+ years) developing machine learning algorithms for clinical domain, including the development and construction of metrics for machine learning.Proven ability to represent data in medical Informatics using ICD, CPT, LOINC, SNOMED, and RxNorm.Strong programming skills with Python including iPython, Spark, Matplotlib.Strong analytical and problem-solving skills.Excellent oral and written communication skills.Ability to lead cross-functional multi-disciplinary teams.Able to work in teams and collaborate with others to solve the most challenging business problems.TensorFlow, PyTorch, and PIL are a plus.2+ years deep learning experience.Education
PhD in Mathematics or Computer Science, Postdoctoral training required.MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination, and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements, or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/third-party recruiters.Job Overview
Specialized Area:
Machine learningJob Title:
Data Scientist / Machine LearningLocation:
To Be Discussed LaterDuration:
6 MonthsDomain Exposure:
Government, Education, IT/SoftwareWork Authorization:
Client: To Be Discussed LaterEmployment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)Immediate direct end client requirement. In-person interview is required.Artificial intelligence scientist/Machine learning expert will develop and implement novel mathematical and algorithmic techniques for deep learning applications. These can be widely applicable or highly project-specific. The main focus for this position's research direction is in quantifying and developing methods for effective transfer learning in clinical, imaging, and other domains for the application to new small sample size studies. The output will be new tooling, algorithms, and novel publications which are effective in a prospective manner.Responsibilities
Lead key AI pilots to ensure successful completion and develop plans to integrate capabilities into the normal early clinical development process.Research into the construction of transfer learning metrics for imaging, IHC and clinical neural networks.Develop new and novel models using clinical data and integration of multiple sub-networks.Provide mathematical support and guidance to other AI team members and scientific stakeholders and collaborators.Possess in-depth knowledge of multiple real-world data assets and share information about these data to business partners.Qualifications
Experience (3+ years) developing machine learning algorithms for clinical domain, including the development and construction of metrics for machine learning.Proven ability to represent data in medical Informatics using ICD, CPT, LOINC, SNOMED, and RxNorm.Strong programming skills with Python including iPython, Spark, Matplotlib.Strong analytical and problem-solving skills.Excellent oral and written communication skills.Ability to lead cross-functional multi-disciplinary teams.Able to work in teams and collaborate with others to solve the most challenging business problems.TensorFlow, PyTorch, and PIL are a plus.2+ years deep learning experience.Education
PhD in Mathematics or Computer Science, Postdoctoral training required.MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination, and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements, or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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