Universities of Wisconsin

• Assist in the design, build, testing, deployment, and production support of core data warehouse and analytics solutions • Perform initial data exploration steps such as profiling, understanding data quality, binning, pivoting, and summarizing • Consult with data SMEs to understand and address data quality issues • Support the design, build, test, and deployment of data warehouse solutions • Provide modeling analysis and develop data models according to specifications and standards • Support the data cleaning, integration, and transformation of data according to the defined target data model

Title: HR Talent Partner Location: Green Bay, WI, United States time type Full time job requisition id JR10011720 Position Title: HR Talent Partner Job Category: Academic Staff Employment Type: Regular Job Profile: HR Generalist Job Duties: The HR Talent Partner (HR Generalist) serves as a trusted advisor to colleges and departments, this position delivers both consultative and transactional HR support across the full employee lifecycle—helping to recruit, develop, engage, and retain a diverse and high-performing workforce. Through close partnership with leaders, the HR Talent Partner supports key institutional priorities by fostering an inclusive, people-centered culture that empowers employees to thrive, strengthens organizational effectiveness, and advances the university’s vision of being a catalyst for innovation and regional growth. In this dynamic role, the HR Talent Partner coordinates day-to-day HR functions including employee relations, performance management, recruitment, onboarding/offboarding, FMLA administration, learning and development, and employee engagement, while ensuring compliance with policies and regulations. The position also provides guidance, resolves workplace concerns, facilitates training, contributes to policy development, and represents Human Resources across the institution—while also leading programs aligned with individual expertise. Guided by UW-Green Bay’s core values—Advance Fearlessly, Empower Success, Provision Access, Build Community, and Express Gratitude—the HR Talent Partner helps create an environment where employees feel supported, valued, and inspired. Together, We Rise. Key Job Responsibilities: - Receives, responds to, and resolves employee questions and problems - Independently facilitate institution-wide programs in specialty areas based upon skills, interest, and expertise. - Represents unit/program at institutional workshops, informational meetings, and training sessions - Provides advice and consultation, performs transactional activities, maintains personnel files, develops communications and materials, and facilitates training for assigned group(s) through various mediums for HR activities across the entire employee career lifecycle. - Contributes to the development, implementation, interpretation, and revision of work unit Human Resources policies and procedures according to institutional and legal rules and regulations - Executes and audits work transactions and changes adhering to established policies and procedures to meet anticipated deadlines Department: Human Resources Compensation: Minimum compensation of $53,125. This position is exempt from the overtime provisions of the Fair Labor Standards Act (FLSA). Required Qualifications: - Bachelor's degree in a related field OR equivalent combination of education and experience at time of application - Experience in human resources or related field - Working knowledge of desktop hardware and business software programs (e.g. MS Word, MS Excel, MS Outlook, MS PowerPoint) - Experience utilizing a Human Resources Information System (e.g. PeopleSoft, Workday, etc.) - Public speaking and/or training experience - Demonstrated ability to deliver exceptional customer service with a proven ability to build, maintain, and strengthen professional relationships. Preferred Qualifications: - Experience in higher education or similar work environment - Bilingual, preferably in Spanish, Hmong, Somali, or Oneida - Experience using sound judgment and discretion in applying and interpreting laws, rules, policies and/or procedures - Demonstrated ability and willingness to maintain confidentiality and high standards of ethics and fairness in the execution of position responsibilities. - Demonstrated experience in supporting organizational efforts to create and nurture an engaging and welcoming work community - Knowledge of conflict resolution strategies, including experience coaching, guiding, and/or advising supervisors and employees - Experience with change management, business process review, and/or new system implementation. - Experience leveraging artificial intelligence (AI) tools and technologies to enhance decision-making, streamline processes, and drive business outcomes. Conditions of Appointment: Some travel required for necessary meetings, workshops, conferences, etc. This position may have the option to work on-campus or a hybrid schedule, subject to approved telecommuting request. The home campus of this position is Green Bay and the successful candidate may occasionally be required to travel to or work at the Marinette, Sheboygan or Manitowoc Campus, based on operational needs. Position is a full-time Academic Staff appointment. A pre-employment education check which includes, but is not limited to, the verification of academic credentials will be conducted on the finalist(s). A criminal conviction investigation will be conducted on the finalist(s) and if there is prior work history within the last 7 years with Universities of Wisconsin, a personnel file review check for employee misconduct. In compliance with the Wisconsin Fair Employment Act, the University does not discriminate on the basis of arrest or conviction record. The University of Wisconsin-Green Bay does not offer H-1B or other work authorization visa sponsorship for this position. Candidates must be legally authorized to work in the United States at the time of hire and maintain work authorization throughout the employment term. If you have questions regarding this, please contact Human Resources. The Successful Candidate The successful candidate will be expected to work inclusively and respectfully within a diverse campus community and practice civility in the workplace.  The University welcomes applicants who are dedicated to the appreciation and promotion of inclusivity and equity as crucial components in the pursuit of organizational excellence. In addition, the successful candidate will have strong oral, written, interpersonal, and organizational skills, demonstrated integrity and strong leadership, and the willingness to work independently and as part of a collaborative team. The University invites applicants who are dedicated to enriching the quality of life for students and the community by embracing the educational value of diversity, promoting environmental sustainability, encouraging engaged citizenship, and serving as an intellectual, cultural, and economic resource. Benefit Details The Universities of Wisconsin provides an excellent benefits package to meet the diverse needs of its employees. For benefits eligible positions, this includes several health insurance options, with annual deductibles as low as $250/individual and $500/family. Our benefits package also includes dental, vision, several life insurance options, AD&D and Accident insurance and Flexible Spending and Health Savings Accounts. We participate in the Wisconsin Retirement System (WRS), where employer contributions begin immediately, and employees are fully vested after 5 years of service. The Universities of Wisconsin also provides supplemental retirement savings programs including a 403(b) and Deferred Compensation. In addition, eligible employees receive several types of paid leave benefits, which are prorated for employees working less than 100%. This includes 9 legal holidays, 36 hours of personal holiday and between 96-130 hours of sick leave annually and paid parental leave. Eligible employees earn 13-27 days of vacation each year, depending on years of service and employment type. Employee Misconduct All final candidates will be asked to provide names, email contact information, and/or phone numbers for three (3) references, with at least one being from a manager or supervisor, during the interview process. All final candidates must be asked, prior to hire, whether they have been found to have engaged in, are currently under investigation for, or left employment during an active investigation in which they were accused of employee misconduct, sexual violence or sexual harassment. When obtaining employment reference checks, these same misconduct, sexual violence or sexual harassment questions must also be asked. Confidentiality Statement  The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis.Stat. sec. 19.36(7).  UW is an Equal Opportunity Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, status as a protected veteran, or any other bases protected by applicable federal or State law and UW System policies.

Role Description The Adaptive Planning and Forecasting Associate Director will provide critical leadership as the lead of the Budget and Planning Team, focusing on supporting business objectives while managing system maintenance, release management, and continuous improvement. - Ensure operational alignment of resources and technology solutions to Universities of Wisconsin business needs and initiatives. - Primary provider of leadership and support for the Workday Adaptive Planning module. - Partner closely with Universities of Wisconsin business leaders to enable operational needs through technology solutions. - Ensure operational success measures are met and identify opportunities to improve operational effectiveness. - Responsible for effective communication and reporting to functional stakeholders. - Collaborate across lines of business to manage cross-functional topics. - Maintain alignment and provide necessary information to leadership. - Serve as a liaison between the business and technology to align the strategic vision of the organization. - Facilitate ongoing governance and prioritization efforts with business partners. - Stay connected with Workday and technology advancements to advise business leaders. - Contribute to the UW enterprise applications product road map. - Lead continuous improvement efforts through prioritization of backlogged items. - Seek opportunities to eliminate gaps and implement solutions that add value to the business. - Lead a team responsible for updating and implementing new system configurations. - Supervise a team of admins and business analysts to design, configure, test, and deploy solutions. - Provide guidance to shared capability team members for cross-workstream alignment. - Define the vision and develop strategies to maximize product value and enhance user experience. - Manage and support the team's performance to achieve deliverables as scheduled. - Act as a coach and mentor for the team. - Serve as an early escalation point for issues/risks and guide functional teams. Qualifications - Must be a strategic thinker who can bring innovative approaches to meet business objectives. - Must be effective at leading a team and creating an environment for success. - Must be able to effectively communicate with a wide variety of audiences. - Must have a solid understanding of how the organization's business objectives are influenced by industry drivers and trends. - Must have demonstrated experience effectively managing people and resources. - Demonstrated experience with finance and related functions. - Demonstrated experience supporting time-bound planning and budgeting cycles. - Experience managing system changes and releases while maintaining operational stability. - Comfort working in an environment driven by institutional timelines and end-user business processes. - Proactive ownership, driving work forward without waiting for direction. - Exceptional organizational discipline when coordinating complex work across teams. - Hands-on people leadership for a team with mixed functional, technical, and operational responsibilities. - Accountability for balancing team capacity and sustainability with planning deadlines. - Comfort leading people through ambiguity and change during high-impact planning cycles. - Demonstrated experience providing formal people management. Requirements - Bachelor’s degree or higher required. Benefits - Compensation between $135,000 - $167,800 based on experience and qualifications. - Comprehensive benefits package including generous paid time off. - Competitively priced health/dental/vision/life insurance. - Tax-advantaged savings accounts. - Participation in the Wisconsin Retirement System (WRS) pension fund.

Role Description This position is fully-embedded in the Wisconsin Department of Health Services (DHS), Division of Medicaid Services (DMS), Bureau of Fiscal Accountability and Management (BFAM), Integrated Data & Analytics Section (IDAS) and is maintained through a contract and ongoing partnership with the UW Institute for Research on Poverty (IRP). The Institute for Research on Poverty (IRP) seeks a Data Scientist who will serve as a data expert for Medicaid health policy research in the Medicaid Evaluation and Research (MER) operational area at IRP. The position will work closely with DMS to prepare DMS data for evaluation and policy analysis and will support complex data projects and policy initiatives for Wisconsin’s Medicaid and FoodShare programs. Working alongside DMS staff and contracted Medicaid Management Information System (MMIS) vendors, this role is responsible for the end-to-end lifecycle of data analysis and reporting—from gathering requirements with stakeholders to the technical development and analysis of ad hoc and standard reports. The ideal candidate bridges the gap between policy research and technology, ensuring all data outputs further Medicaid and Foodshare operations and implementation. We aim to hire Data Scientists with expertise and experience with Medicaid claims data. When you join our team, you’re not just bringing your expertise. We are committed to fostering your professional development goals and supporting your career advancement through continued learning opportunities. This role is currently eligible for remote work. Continued remote work eligibility will follow University of Wisconsin–Madison policies and any future updates. Also this position requires reliable transportation for occasional onsite work if needed. Key Job Responsibilities - Develop expertise in the content, structure, and idiosyncrasies of Medicaid/FoodShare data by understanding the origin and interpretation of variables, as well as learning about policy issues related to the data. - Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources. - Documents approaches to address research questions. - Review and analyze changes in federal and state regulations for impact on Medicaid/Foodshare policy and processes, especially those necessary for data collection and reporting. Implement necessary revisions to reporting frameworks to ensure compliance with shifting regulations. - Implements appropriate data science techniques under the guidance of other data scientists, statisticians, and/or other researchers to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining. - Organizes and automates project steps for data preparation and analysis. - Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators. Qualifications - Data science experience including: data extraction, transformation (wrangling, cleaning, and merging), and loading; computer systems capability; and programming languages for databases such as SQL, SAS, R, or Python. - Knowledge of the Medicaid Enterprise System (MES) and Income Maintenance (IM) databases, their design, and capabilities. - Experience providing data visualization and analysis using software such as SAS, R, and/or Tableau. - Knowledge of statistical methodologies and system analyses to conceptualize effects of program and policy alternatives. - Ability to translate policy into user-friendly logic flows and actionable project recommendations. - Knowledge of and skill with MS Office Suite (MS Excel, MS Word, MS Outlook, MS Access, and MS Visio). - Strong written and oral communication skills. - Strong organizational skills and attention to detail. Preferred Qualifications - Minimum one year of experience manipulating and merging large, complex administrative datasets. - Minimum one year of data life cycle management (DLM) experience including: data acquisition or collection, use, and long-term storage. - Experience working with administrative medical claims and enrollment data, with preference for Medicaid claims experience. - Ability to work with programmers and develop cooperative interpersonal relationships. - Working knowledge of the organization and functions of related Department of Health Services divisions and other State of Wisconsin agencies. Education - Required: Bachelor's Degree in social science, public/population health, data science/engineering/analytics, or related field. - Preferred: Master's Degree in social science, public/population health, data science/engineering/analytics, or related field. How to Apply Click the "Apply" button to start the application process. To be considered for this recruitment, you must upload: - Resume - Cover Letter The materials should address your experience relating to the qualifications referenced above. There is only one attachment field; please upload all application materials here. All listed application materials must be submitted for your application to be considered. Please submit only the materials specified; additional materials will not be reviewed. Selected applicants will receive an invitation to participate in interviews within 10-14 business days following the application deadline. Please note that successful applicants are responsible for ensuring their eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without need of employer sponsorship) on or before the effective date of appointment. Contact Information Tim Connor, Tim.Connor@wisc.edu (608) 261-1578 Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information. Institutional Statement on Diversity Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. The University of Wisconsin-Madison is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply.

Role Description The Center for Innovative Transition, Education & Employment (CITEE) strives to create a future where every individual can live a fulfilling, independent, and dignified life. CITEE is housed in the College of Community Engagement and Professions at the University of Wisconsin-Milwaukee which is comprised of the School of Education, Helen Bader School of Social Welfare, and School of Information Studies. Together, they develop informed, engaged and empathetic professionals who graduate fully prepared for an array of in-demand careers. This position is responsible for scheduling and completing WIOA Career Interviews and for all related reporting and documentation. This position has primary responsibility for interviews assigned around the state. All interviews take place virtually. Provide customer service and outreach with guardians of subminimum wage employees for the CITEE team under the supervision and leadership of the CITEE Director and directly to the CITEE Program Manager. Coordinate disability accommodation as needed for interviews. This position will perform all duties and responsibilities in accordance with grant requirements and all University, state and federal policies and procedures. Responsibilities - Provide career counseling, information and resources, and referrals with subminimum wage employees during virtual interviews across Wisconsin. - Schedule interviews, manage interview logistics, and complete interview preparations and all necessary documentation and reports in a thorough, accurate, and timely manner. - Communicate with subminimum wage employees, guardians and family members, vocational providers, and other stakeholders as applicable, to ensure consistency and coordination of service delivery. - Manage logistics for all assigned WIOA career interviews, including coordinating accommodations as needed and communicating with 14c employers. - Comply with all University, partner agencies, state and federal regulations and confidentiality and compliance requirements, and uphold the ethics of their respective discipline. - Participate actively in required team and project meetings via remote technology and in person when required. - Other duties as assigned to support CITEE and UWM. Key Job Responsibilities - Develops and evaluates curriculum and programs and provides recommendations for improvement. - May assist with the monitoring of outreach program budget spending. - Schedules and secures resources and communicates logistics in support of an outreach program. - Leads the implementation of programs, policies, and procedures through oversight of day-to-day activities for program staff and student and community volunteers. - Delivers outreach program content and materials to community members. - Researches, develops, and facilitates outreach program content and materials. - Identifies, promotes, and maintains external partnerships to support the outreach program. Qualifications - Minimum of 5 years of experience working in human services, education or related field with persons with disabilities. - Master’s degree in Rehabilitation Counseling, Counseling, School Counseling, Social Work or other related behavioral health fields. - Current State of Wisconsin LPC, LCSW, LP. - Current Certified Rehabilitation Counselor (CRC). Requirements - Experience working with people with disabilities required, preferably people with developmental, intellectual, severe or complex disabilities. - Experience in career and disability counseling and direct service delivery with people with disabilities, including intellectual and developmental disabilities, preferably with adults, and their families. - Excellent interpersonal, written, virtual, and verbal communication skills with diverse populations, including those with varying communication styles and abilities. - Ability to maintain collaborative communication during all work activities. - Knowledge of subminimum wage employment and competitive, integrated employment. - Knowledge of employment services, vocational rehabilitation, career counseling, transitional services, or other disability related services and work. - Demonstrated adaptability and problem-solving ability. - Ability to manage time, multiple priorities, and deadlines effectively. - Ability to create and write reports that are substantiated. - Ability to work with and contribute to a dynamic team while also being able to work independently. - Ability to travel to in-person events as required for CITEE. - Ability to set up a remote office with a reliable high-speed Wi-Fi connection or hotspot. - Proficient with Microsoft Office suite, scanners, and other software and equipment required for interviews. - Thrive in a fast-paced environment. Benefits - Target Salary: $65,000 Annual basis, prorated for percentage of appointment. How to Apply Interested applicants are required to apply online and submit the following: - Cover Letter - Resume PLEASE NOTE: Cover letters and resumes will need to be uploaded to the same area in the application. In instances where the Search and Screen is unable to ascertain from the candidates' application materials whether they meet any of the qualifications, they may be evaluated as not meeting such qualifications. Finalist candidate(s) being considered for hire will be required to provide three professional/supervisor references through an external reference checking tool. References will not be contacted prior to candidates being notified. The last day to submit your application is Sunday, May 31. Contact Information Adam Garcia - HR Coordinator Email: garci289@uwm.edu Reasonable Accommodations Pursuant to university policy, UWM provides reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment. Employment opportunities will not be denied because of the need to make reasonable accommodations for a qualified individual with a disability. If you need assistance or accommodation in applying because of a disability, please contact uwm-jobs@uwm.edu or 414-229-4463. This job announcement and other material on this site will be made available in alternate formats upon request to an individual with a disability. Confidentiality of Applicant Materials UWM is a State agency and subject to Wisconsin’s Open Records Law. UWM will not, however, reveal the identities of applicants who request confidentiality in writing except as may be required by Wisconsin’s Open Records law. In certain circumstances, the identities of “final candidates” and/or the identity of the appointed applicant must be revealed upon request. CBC and Reference Check Policy Employment will require a criminal background check. UWM takes the prevention of sexual misconduct seriously. As such, you and your references will be required to answer questions regarding any past findings of sexual violence and sexual harassment or any pending allegations of sexual violence or sexual harassment. Annual Security and Fire Safety Report (Clery Act) For the UWM Annual Security and Fire Safety Reports (i.e., Clery Report), which includes statistics about reported crimes and information about campus security policies, see http://www.cleryact.uwm.edu/ , or call UWM’s Dean of Students Office, Student Union 345 at (414) 229-4632 for a paper copy. Employment Authorization In compliance with federal law, all persons at the time of their start date will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Equal Opportunity Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, status as a protected veteran, or any other bases protected by applicable federal or State law and UW System policies. We are committed to building a workforce that represents a variety of backgrounds, perspectives, and skills, and encourage all qualified individuals to apply.

Role Description This position will assist faculty with course-related initiatives, academic projects, and research activities, including: - Data collection - Analysis - Background research - Other research support tasks We are seeking an individual who is enthusiastic, responsible, and punctual, with strong analytical, problem-solving, communication, and organizational skills, and the ability to work independently as well as collaboratively in a research and academic environment. Compensation: $12/hr Qualifications - Strong analytical skills - Problem-solving abilities - Effective communication skills - Organizational skills - Ability to work independently - Ability to work collaboratively Requirements - Employment will require a criminal background check. - A pending criminal charge or conviction will not necessarily disqualify an applicant. - Compliance with the Wisconsin Fair Employment Act. Benefits - Equal Opportunity Employer - Consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, status as a protected veteran, or any other bases protected by applicable federal or State law and UW System policies. - Commitment to building a diverse workforce.

Role Description The University of Wisconsin Department of Orthopedics and Rehabilitation is seeking an experienced Research Scientist to serve as the on-site research leader of Dr. Tamara Scerpella’s longitudinal study of Bone Health, based at SUNY Upstate Medical University in Syracuse, New York. This position will facilitate all aspects of the lab’s research, collaborating between SUNY Upstate Medical University and the University of Wisconsin to ensure ongoing research continues, and will be a key team member in preparation and of publications and delivery of presentations based upon this work. This position is part-time, 50% and will be remote, requiring work to be performed at an offsite, non-campus work location. This position has been identified as a position of trust with access to vulnerable populations. The selected candidate will be required to pass an initial caregiver check to be eligible for employment under the Wisconsin Caregiver Law and every four years. Key Job Responsibilities - Identifies research problems and develops highly complex research methodologies and procedures. - Publishes and presents results to help advance research. - Identifies, writes, or assists in developing grant opportunities, grant applications, and proposals to secure research funding. - Monitors program budget and approves unit expenditures. - Attends and assists with the facilitation of scholarly events and presentations in support of continued professional development and the dissemination of research information. - Conducts literature reviews, prepares reports and materials, and disseminates information to appropriate entities. - Serves as an institutional subject matter expert and liaison with key internal and external stakeholders providing expert level information and representing the interests of a specialized research area. - Collects and analyzes highly complex research data, conducts experiments and interviews, and documents results according to established policies and procedures. - May supervise the day-to-day activities of a research unit and staff and resolve routine personnel issues. Qualifications - 10+ years of experience in orthopedics-related research. - Experience in the preparation and submission of publications and presentations. Preferred Qualifications - 10+ years of experience in longitudinal research studies of human growth, specifically through bone densitometry and body composition assessment. - 2 years of experience with collaboration spanning multiple institutions. Education - Ph.D. in biological sciences or related field is required. Compensation The starting salary/hourly wage for the position is $80,000 annually, but is negotiable based on experience and qualifications. Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. How to Apply For the best experience completing your application, we recommend using Chrome or Firefox as your web browser. To apply for this position, select either “I am a current employee” or “I am not a current employee” under Apply Now. You will then be prompted to upload your application materials. Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area: - Cover letter - Resume Your cover letter should address how your training and experience aligns with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected. Contact Information Rachel Timbers, timbers@wisc.edu , 608-263-7659 Institutional Statement on Diversity Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.

Lead the Phuture Phoenix pre-college program by managing design, compliance, and staff supervision. Develop educational content, facilitate campus visits, and promote partnerships to enhance student access and success in higher education.

Role Description Curate environmental education curriculum resources related to climate change and Green and Healthy Schools. Align resources with Wisconsin’s standards for Environmental Literacy and Sustainability. As appropriate, align resources with: - Guidelines for Excellence - Educating for Climate Action and Justice - Planetary Health Education Framework - Green & Healthy Schools badges Curriculum resources will be curated in WISELearn. Qualifications - Current enrollment as a student at any of the Universities of Wisconsin. Requirements - Criminal background check required. - Authorization to work within the United States as required by the Immigration Reform and Control Act of 1986. Benefits - Opportunity to contribute to environmental education. - Experience in curriculum development. Company Description Through the discovery and dissemination of knowledge, UW-Stevens Point stimulates intellectual growth, provides a liberal education, and prepares students for a diverse sustainable world. The university is committed to creating a safe, inclusive learning community for all faculty and staff from a variety of backgrounds. - Visit UW-Stevens Point Careers for more information. - Learn about the Stevens Point area at Stevens Point Area .

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process. Job Category: Academic Staff Employment Type: Regular Job Profile: Data Scientist III Job Summary: The Large Language Model (LLM) / Natural Language Processing (NLP) Engineer will serve as a hands-on technical contributor responsible for building, integrating, and operationalizing advanced language-model capabilities within the Wisconsin Health Data Hub (WHDH) platform. WHDH is a federally funded initiative developing a secure, cloud-native data ecosystem designed to support biomedical research, advanced analytics, and AI-driven discovery using real-world health data. This role focuses on the practical implementation of NLP and generative AI technologies that enable scalable analysis of large volumes of unstructured healthcare data such as clinical notes, research publications, and other text-based datasets. The engineer will design and deploy production-grade AI services, integrate LLM capabilities into the WHDH platform, and support researchers and partner organizations in leveraging these tools for applied healthcare analytics. The position requires a strong engineering mindset and the ability to translate emerging AI capabilities into reliable, scalable solutions operating within a secure research data environment. Key Responsibilities LLM & NLP Engineering - Design, implement, and maintain production-ready NLP pipelines for processing large volumes of unstructured healthcare and biomedical text data. - Fine-tune, deploy, and optimize large language models for domain-specific applications including clinical text analysis, semantic search, and automated summarization. - Develop services for entity extraction, concept normalization, document classification, and information retrieval from healthcare datasets. - Build reusable NLP components and APIs that can be integrated into analytics workflows across the WHDH platform. Platform Integration & AI Services - Integrate LLM and NLP capabilities into WHDH’s cloud-based data and analytics platform. - Develop scalable APIs and microservices that enable secure access to language-model capabilities by research teams and application developers. - Implement containerized services and deployment pipelines to operationalize AI models in production environments. - Work with teams to ensure NLP pipelines operate efficiently within large-scale distributed data processing environments. Applied AI Solution Development - Collaborate with platform engineers and domain experts to design AI-driven solutions that address real-world healthcare data challenges. - Translate emerging LLM capabilities into practical tools for clinical text processing, data enrichment, and knowledge extraction. - Rapidly prototype and iterate AI-enabled features that improve usability and accessibility of the WHDH data platform. - Support applied analytics initiatives that leverage LLM capabilities to enhance research workflows. Security, Data Governance & Responsible AI - Ensure all AI solutions comply with institutional data governance policies and healthcare data privacy requirements. - Implement safeguards for secure handling of sensitive healthcare text data within NLP workflows. - Support responsible use of generative AI technologies through appropriate monitoring, evaluation, and documentation practices. - Collaborate with platform security teams to ensure compliance with HIPAA-aligned infrastructure requirements It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location. The position requires the finalist to reside within the State of Wisconsin or relocate to Wisconsin within a reasonable time frame from the start date of the position. Schedule is flexible within business hours of Monday through Friday 8:00a.m.- 4:30p.m. Key Job Responsibilities: - Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources - 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 - Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators - Leverage modern NLP frameworks and LLMs to extract critical insights from unstructured clinical notes and reports, ensuring data quality and integrity through rigorous preprocessing. - Develop predictive models using retrospective real-world data to estimate disease risk, progression, and treatment effectiveness, while addressing bias and fairness. Design and execute rigorous hypothesis testing on observational datasets to validate research findings - Work closely with data governance and security to ensure compliance with privacy regulations (e.g., NIST, HIPAA) when working with healthcare data; and address bias and fairness issues in AI models when dealing with sensitive health data - Develop and implement informatics pipelines for the processing, integration, and harmonization of heterogeneous data sources - 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 - Organizes and automates project steps for data preparation and analysis - Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows Department: School of Medicine and Public Health, Informatics and Information Technology, Wisconsin Health Data Hub. The Wisconsin Health Data Hub (WHDH) is a grant-funded initiative within the Office of Informatics and Information Technology (IIT) at the University of Wisconsin–Madison School of Medicine and Public Health. WHDH brings together a multidisciplinary team of technologists responsible for designing, implementing, and operating a secure data enclave that supports the responsible use of real-world health data for biomedical research. The WHDH team develops and manages a scalable data platform that enables researchers to efficiently access, integrate, and analyze large-scale health datasets from participating health systems. By providing advanced data services, governance frameworks, and analytical capabilities, WHDH accelerates the research lifecycle—from project conception and data acquisition to analysis and discovery—while ensuring compliance with applicable regulatory, privacy, and security requirements. Compensation: The starting salary/hourly wage for the position is $76,289 annually; but is negotiable based on experience and qualifications. Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage. ☒ SMPH Faculty /Academic Staff Benefits Flyer 2026 Required Qualifications: - 3 Years of full-time professional experience building or deploying NLP or machine learning solutions in production environments. (5 years preferred) - Strong programming experience in Python and familiarity with modern NLP frameworks such as Hugging Face Transformers, spaCy, PyTorch, or TensorFlow. - Experience working with large-scale data processing pipelines and distributed data environments. - Experience deploying AI models using containerization technologies such as Docker and orchestration frameworks such as Kubernetes. - Ability to design and build scalable APIs and backend services supporting AI-powered applications. Preferred Qualifications: - Experience working with biomedical or clinical text data. - Familiarity with healthcare data models and standards such as FHIR, OMOP, or UMLS. - Experience developing AI solutions in cloud environments such as AWS, Azure, or Google Cloud. - Experience with MLOps practices including model deployment, monitoring, and lifecycle management. - Familiarity with vector databases, embedding models, and retrieval-augmented generation (RAG) architectures. - Experience building generative AI applications using modern LLM frameworks. Education: PhD Preferred; Focus in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field preferred. How to Apply: For the best experience completing your application, we recommend using Chrome or Firefox as your web browser. To apply for this position, select either “I am a current employee” or “I am not a current employee” under Apply Now. You will then be prompted to upload your application materials. Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area. • Cover letter required • Resume Your cover letter should address [how your training and experience aligns with the required and preferred qualifications listed above]. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work. The department will not be able to support a request for a J-1 waiver. If you choose to pursue a waiver and apply for our position, neither the UW nor UWMF will reimburse you for your legal or waiver fees. Contact Information: Cody Roekle, croekle@wisc.edu, 16082637676 Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information. Institutional Statement on Diversity: Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. The University of Wisconsin-Madison is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website. To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you. Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment. The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7). The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.