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.

Role Description We are seeking a talented and self-motivated Senior Data Scientist/AI Engineer to join our team. In this role, you will design, build, and deploy next generation AI-driven tools for market research. You will work at the intersection of data science and AI engineering. We develop models and predictions using a combination of surveys, voter databases, census microdata, behavioral tracking and other sources. We handle the most difficult data problems at our company, including: - Massive datasets - Missing data - Self-selection - Measurement error - Fraud detection - Attrition - And many more This is a hands-on role that requires both analytical and programming skills at an advanced level. What You Will Be Doing - Design and build AI-powered applications to analyze, summarize, and generate insights from survey data. - Contribute to technical design and architecture decisions for AI/ML systems. - Develop and optimize prompts and chains. - Build applications to simplify analytics and improve the efficiency of data processing. - Work with structured and unstructured data. - Collaborate with data analysts, product managers, UI designers, and software developers to create great products. - Contribute to model evaluation and performance tracking using both qualitative and quantitative metrics. - Stay up to date with recent developments in AI and machine learning, including LLMs, fine tuning, and RAG pipelines. - Handle ambiguous, complex problems with minimal guidance. - Contribute to technical vision, architectural decisions, or help set technical standards. - Contribute to business impact and strategic problem-solving at an organizational level as and when required. Qualifications - Master’s or PhD in data science or related field. - Demonstrable progressive experience in senior data science/AI engineering roles. - Advanced knowledge in Python and/or R for data analysis, modelling, and visualization. - Experience working with LLM APIs and building LLM-based applications and frameworks. - Progressive experience with natural language processing, including topic modelling, text classification, and summarization. - Experience in taking part in cross-functional technical projects. - Ability to write clean, maintainable, well-documented code. - Proven track record of delivering complex, high-impact solutions. - Ability to cross collaborate with other teams across the business. Requirements - This is a remote position for candidates based in the US or the UK. - For roles based in California, New York, Colorado or Washington State, the base salary hiring range for this position is USD 160,000 - USD 190,000. - Compensation offered will be determined by multiple factors including location, job-related knowledge, skills and experience. - Certain roles may be eligible for incentive compensation and additional benefits. Benefits - Paid vacation, holidays and sick days. - Flexible working arrangement available. - Group medical, dental and vision insurance. - Company-paid life and disability insurance. - Paid parental leave. - 401(k) with company match.

Role Description We are seeking a talented and self-motivated Data Scientist/AI Engineer to join our team. In this role, you will design, build, and deploy next generation AI-driven tools for market research. You will work at the intersection of data science and AI engineering. We develop models and predictions using a combination of surveys, voter databases, census microdata, behavioral tracking and other sources. We handle the most difficult data problems at our company, including: - Massive datasets - Missing data - Self-selection - Measurement error - Fraud detection - Attrition This is a hands-on role that requires both analytical and programming skills. Qualifications - Master’s or PhD in data science or related field. - Hands-on experience in data science roles. - Proficiency in Python and/or R for data analysis, modelling, and visualization. - Experience working with LLM APIs and building LLM-based applications and frameworks. - Experience with natural language processing, including topic modelling, text classification, and summarization. - Ability to write clean, maintainable, well-documented code. Requirements - Design and build AI-powered applications to analyze, summarize, and generate insights from survey data. - Develop and optimize prompts and chains. - Build applications to simplify analytics and improve the efficiency of data processing. - Work with structured and unstructured data. - Collaborate with data analysts, product managers, UI designers, and software developers to create great products. - Contribute to model evaluation and performance tracking using both qualitative and quantitative metrics. - Stay up to date with recent developments in AI and machine learning, including LLMs, embeddings, and RAG pipelines. Benefits - Paid vacation, holidays and sick days - Flexible working arrangement available - Group medical, dental and vision insurance - Company-paid life and disability insurance - Paid parental leave - 401(k) with company match

• Drive the design and development of A/B tests on app features and user experience • Lead the development of attribution models to measure the impact of marketing activities • Synthesize complex data into clear recommendations for senior leadership • Develop cross-functional initiatives to optimize customer journey and enhance conversion rates • Provide guidance and support to team members, fostering their professional growth • Analyze complex data for trends and patterns, interpreting data with business objectives in mind • Recommend business strategies based on research projects • Drive metrics definition and management, partnering with business and data engineers • Develop reports and visualizations for business use • Leverage analytical modeling techniques to optimize customer experiences and outcomes • Collaborate with data scientists to optimize and integrate machine learning models, mentoring junior team members • Lead implementation of analytical models in production by collaborating with software developers