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 OverviewJob ID:J37705Specialized Area:Machine learningJob Title:Data Scientist / Machine LearningLocation:Duration: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 requiredArtificial 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 positions research direction 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.ResponsibilitiesLead key AI pilots to ensure successful completion and develop plans to integrate capabilities into the normal early clinical development processResearch into the construction of transfer learning metrics for imaging, IHC and clinical neural networksDevelop new and novel models using clinical data and integration of multiple sub networksProvide mathematical support and guidance to other AI team members and scientific stakeholders and collaboratorsPossess in-depth knowledge of multiple real-world data assets and share information about these data to business partnersQualificationsExperience (3+ years) developing machine learning algorithms for clinical domain, including the development and construction of metrics for machine learningProven ability to represent data in medical Informatics using ICD. CPT, LOINC, SNOMED, and RxNormStrong programming skills with Python including iPython, Spark, MatplotLibStrong analytical and problem-solving skillsExcellent oral and written communication skillsAbility to lead cross functional multi-disciplinary teamsAble to work in teams and collaborate with others to solve the most challenging business problemsTensorflow, PyTorch, and PIL are a plus2+ years deep learning experienceEducationPhD in Mathematics or Computer Science, Postdoctoral training required.Cloud Hybrid 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. Cloud Hybrid 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 Cloud Hybrid 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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Job OverviewJob ID:J37705Specialized Area:Machine learningJob Title:Data Scientist / Machine LearningLocation:Duration: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 requiredArtificial 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 positions research direction 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.ResponsibilitiesLead key AI pilots to ensure successful completion and develop plans to integrate capabilities into the normal early clinical development processResearch into the construction of transfer learning metrics for imaging, IHC and clinical neural networksDevelop new and novel models using clinical data and integration of multiple sub networksProvide mathematical support and guidance to other AI team members and scientific stakeholders and collaboratorsPossess in-depth knowledge of multiple real-world data assets and share information about these data to business partnersQualificationsExperience (3+ years) developing machine learning algorithms for clinical domain, including the development and construction of metrics for machine learningProven ability to represent data in medical Informatics using ICD. CPT, LOINC, SNOMED, and RxNormStrong programming skills with Python including iPython, Spark, MatplotLibStrong analytical and problem-solving skillsExcellent oral and written communication skillsAbility to lead cross functional multi-disciplinary teamsAble to work in teams and collaborate with others to solve the most challenging business problemsTensorflow, PyTorch, and PIL are a plus2+ years deep learning experienceEducationPhD in Mathematics or Computer Science, Postdoctoral training required.Cloud Hybrid 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. Cloud Hybrid 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 Cloud Hybrid 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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