University of Wisconsin
Research Data Scientist
University of Wisconsin, Madison, Wisconsin, us, 53774
Job Summary:Are you passionate about improving patient health outcomes, optimizing healthcare processes, and advancing science? Join our dynamic Informatics and Information Technology team at the University of Wisconsin School of Medicine and Public Health in Madison, Wisconsin. We are committed to revolutionizing healthcare through implementation of advanced data science approaches, conducting cutting-edge data-centric research, and generating real-world evidence to improve patient health outcomes at UW Health and beyond.
On a day-to-day basis, the incumbent could expect to engage in the following activities:
Acquire, manage, and prepare real-world data for analysis
Apply NLP techniques to extract relevant information from unstructured data (e.g., notes, reports) from EHR as needed
Conduct analysis of EHR data to investigate associations between various predictors and health outcomes
Develop/adopt, implement, and validate advanced computational algorithms for disease phenotyping, risk prediction, and treatment effectiveness studies
Interpret and summarize the results of analysis for presentations, scientific reports, and manuscripts
Effectively collaborate with internal and external stakeholders, including clinicians and data scientists from other departments/disciplines
Keep abreast of emerging trends and advancements in AI research to propose innovative solutions to healthcare challenges
Ensure compliance with privacy regulations (e.g., NIST and HIPAA), when working with health data
Responsibilities:
10% Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
15% Identifies and implements or guides others in implementing appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
10% Organizes and automates project steps for data preparation and analysis
10% Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
15% Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
15% Serves as an institutional subject matter expert and liaison to key internal and external stakeholders regarding data science best practices and methodologies and represents the interests of data science
5% May supervise the day-to-day activities of staff and resolves routine personnel issues
20% Develops and optimizes advanced computational algorithms using Artificial Intelligence (AI), Machine Learning (ML), regression, and rules-based models
Education:Required: PhD in Computer Science, Statistics, Biostatistics, Epidemiology, or closely related field required. Must be obtained by the start date of the position.
Qualifications:Required Qualifications:
Strong foundation in statistics and advanced methods for analyzing health data
Strong knowledge and skills in using analytical software (e.g., R, SQL, Python)
A minimum of 4 years of experience in analyzing health data using Artificial Intelligence (AI) and Machine Learning (ML) approaches
Understanding of healthcare systems, workflows, and Electronic Health Records (EHR) data structures
Understanding of medical terminology, coding systems (e.g., ICD, CPT, SNOMED, LOINC, RxNorm), and healthcare standards (e.g., HL7, FAIR)
Excellent communication skills to convey research results to scientific audience and the public
Preferred:
Experience working with ML libraries (e.g., TensorFlow, PyTorch) and data manipulation tools (e.g., Pandas)
Understanding of privacy regulations (e.g., NIST, HIPAA) for working with health data
Strong publication record in reputable journals
Ability to effectively integrate in cross-functional and multi-cultural teams
Work Type:Full Time: 100%It is anticipated this position will be remote and requires work be performed at an offsite, non-campus work location. An on campus location will be provided should a candidate prefer to work partially or fully onsite.
Appointment Type, Duration:Terminal, 24 month appointment. This position has the possibility to be extended or converted to an ongoing appointment based on need and/or funding.
Salary:Minimum
$90,000 ANNUAL (12 months)Depending on Qualifications. The starting salary for the position is $90,000 but is negotiable based on experience and qualifications.
How to Apply:To apply for this position, please click on the "Apply Now" button. You will be asked to upload a current resume/CV and a cover letter briefly describing your qualifications and experience.
Contact:Cody Roeklecroekle@wisc.edu608-263-7676Relay Access (WTRS): 7-1-1. See
RELAY_SERVICE
for further information.
Official Title:Data Scientist III(RE061)
Department(s):A53-MEDICAL SCHOOL/Informatics and IT
Employment Class:Academic Staff-Terminal
Job Number:306537-AS
The University of Wisconsin-Madison is an Equal Opportunity and Affirmative Action Employer.#J-18808-Ljbffr
On a day-to-day basis, the incumbent could expect to engage in the following activities:
Acquire, manage, and prepare real-world data for analysis
Apply NLP techniques to extract relevant information from unstructured data (e.g., notes, reports) from EHR as needed
Conduct analysis of EHR data to investigate associations between various predictors and health outcomes
Develop/adopt, implement, and validate advanced computational algorithms for disease phenotyping, risk prediction, and treatment effectiveness studies
Interpret and summarize the results of analysis for presentations, scientific reports, and manuscripts
Effectively collaborate with internal and external stakeholders, including clinicians and data scientists from other departments/disciplines
Keep abreast of emerging trends and advancements in AI research to propose innovative solutions to healthcare challenges
Ensure compliance with privacy regulations (e.g., NIST and HIPAA), when working with health data
Responsibilities:
10% Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
15% Identifies and implements or guides others in implementing appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
10% Organizes and automates project steps for data preparation and analysis
10% Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
15% Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
15% Serves as an institutional subject matter expert and liaison to key internal and external stakeholders regarding data science best practices and methodologies and represents the interests of data science
5% May supervise the day-to-day activities of staff and resolves routine personnel issues
20% Develops and optimizes advanced computational algorithms using Artificial Intelligence (AI), Machine Learning (ML), regression, and rules-based models
Education:Required: PhD in Computer Science, Statistics, Biostatistics, Epidemiology, or closely related field required. Must be obtained by the start date of the position.
Qualifications:Required Qualifications:
Strong foundation in statistics and advanced methods for analyzing health data
Strong knowledge and skills in using analytical software (e.g., R, SQL, Python)
A minimum of 4 years of experience in analyzing health data using Artificial Intelligence (AI) and Machine Learning (ML) approaches
Understanding of healthcare systems, workflows, and Electronic Health Records (EHR) data structures
Understanding of medical terminology, coding systems (e.g., ICD, CPT, SNOMED, LOINC, RxNorm), and healthcare standards (e.g., HL7, FAIR)
Excellent communication skills to convey research results to scientific audience and the public
Preferred:
Experience working with ML libraries (e.g., TensorFlow, PyTorch) and data manipulation tools (e.g., Pandas)
Understanding of privacy regulations (e.g., NIST, HIPAA) for working with health data
Strong publication record in reputable journals
Ability to effectively integrate in cross-functional and multi-cultural teams
Work Type:Full Time: 100%It is anticipated this position will be remote and requires work be performed at an offsite, non-campus work location. An on campus location will be provided should a candidate prefer to work partially or fully onsite.
Appointment Type, Duration:Terminal, 24 month appointment. This position has the possibility to be extended or converted to an ongoing appointment based on need and/or funding.
Salary:Minimum
$90,000 ANNUAL (12 months)Depending on Qualifications. The starting salary for the position is $90,000 but is negotiable based on experience and qualifications.
How to Apply:To apply for this position, please click on the "Apply Now" button. You will be asked to upload a current resume/CV and a cover letter briefly describing your qualifications and experience.
Contact:Cody Roeklecroekle@wisc.edu608-263-7676Relay Access (WTRS): 7-1-1. See
RELAY_SERVICE
for further information.
Official Title:Data Scientist III(RE061)
Department(s):A53-MEDICAL SCHOOL/Informatics and IT
Employment Class:Academic Staff-Terminal
Job Number:306537-AS
The University of Wisconsin-Madison is an Equal Opportunity and Affirmative Action Employer.#J-18808-Ljbffr