Title: Scientist 1-Wisconsin Reading Center - Requisition Number: JR10010076 - Remote Type: Remote - Location: Madison, Wisconsin - Category: Research - Time Type: Full time Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Jobs Hub to apply through the internal application process. Job Category: Academic Staff Employment Type: Terminal (Fixed Term) Job Profile: Scientist I Job Summary: The key responsibilities of this position include: - Develop Grading Methods: The Wisconsin Reading Center provides core imaging lab support to multicenter clinical trials. As imaging technology and indications for therapeutics keep evolving, there is a need for developing new image evaluation methods. This will require an understanding of imaging formats, artifacts, qualitative and quantitative assessment of disease parameters. The incumbent will serve as a subject matter expert in supporting research program managers and graders in scientific aspects of grading. - Biomarker Research: The Wisconsin Reading Center collaborates with both NIH and industry partners in imaging biomarker research. This requires identification of novel imaging features that can be predictive of disease progression or prognosis and designing clinical studies to reproducibility identify and quantify these features. A thorough understanding of disease process and up-to-date knowledge on literature are required to conduct this cutting-edge research. - Liaison with Study Sponsors: The Wisconsin Reading Center assists in developing study protocol and statistical analysis plan for clinical trials in collaboration with industry sponsors. This requires communication of the reading center workflow, evaluation procedures, imaging outcomes that are applicable for the trial, and analysis methods. - Other duties: Participate in developing grant applications to federal and private agencies. Document research study methods, analytic steps, and results for manuscript publications and progress reports. Develop PowerPoints to describe research and associated results. Participate in national and international meetings for the dissemination of research. Assist faculty with the educational and mentoring of research students. - This position has the possibility to be extended or converted to an ongoing appointment based on need and/or funding. - This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location . - Travel Expectations: It is required that employees come to Madison, WI. It may be the employee's responsibility to cover expenses for this trip. - There could be occasional night and weekend events. Key Job Responsibilities: - Serves as a main point of contact and liaison with internal and external stakeholders providing information and representing the interests of a specialized research area - Assists with the identification of research problems and the development of research methodologies and procedures - Attends and assists with the facilitation of scholarly events and presentations in support of continued professional development and the dissemination of research information - Collects and analyzes research data, conducts experiments and interviews, and documents results according to established policies and procedures under general supervision and limited responsibility - Writes or assists in developing grant applications and proposals to secure research funding - Conducts literature reviews, prepares reports and materials, and disseminates information to appropriate entities Department: School of Medicine and Public Health, Department of Ophthalmology and Visual Sciences, Wisconsin Reading Center. The Wisconsin Reading Center (WRC) is a core retinal image reading lab within the University of Wisconsin-Madison Department of Ophthalmology and Visual Sciences (DOVS). The WRC was founded on the enduring principles of intellectual honesty, quality, relevance, innovation, and staff satisfaction. Incepted in 1970 to support the seminal NIH-funded trials of laser treatment for diabetic retinopathy (DR), the WRC has broadened its scope to the evaluation of many retinal diseases, including dry AMD, atrophic AMD, neovascular AMD, DME, retinal vein occlusion, posterior uveitis, inherited retinal disease, AIDS-related ocular disease, and cataract. Why Join Us? This position offers hybrid work with the requirement to be on-site once a quarter. We provide flexible work schedules, comprehensive benefits, and professional development. Our team is passionate about making a positive impact on eye disease, and we are looking for individuals who share that commitment. Compensation: The starting salary/hourly wage for the position is $61,087 but 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: - Experience in Clinical Research - Experience working with image-based datasets or data analysis - Experience in ophthalmic/retinal imaging Preferred Qualifications: - Experience in clinical ophthalmology - Experience in publications and conference presentations - Experience in Age-related Macular Degeneration Education: Terminal degree in relevant field such as medicine, vision science, biomedical science, public health or related discipline and includes MD, PhD, OD, MPH or equivalent required (includes MBBS and DNB). 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.

Lead integrative bioinformatic analyses of genomic data, develop bioinformatics pipelines, manage research projects, and train staff while effectively communicating findings and collaborating with diverse stakeholders to enhance pediatric rare disease...

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Data Scientist Overview Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Are you an experienced data scientist with a passion for technological innovation, have a can-do attitude and strong sense of ownership? The Small and Medium Enterprise (SME) platform is the perfect opportunity for you to assist in the design & development of a world-class unified platform, enabling Small and Medium Enterprises globally. The SME team is looking for a Lead data scientist to own the development of machine learning models and business intelligence projects. You will also work closely with cross-functional teams, including data engineers, data analysts, and software engineers, to drive data-driven decision making throughout the organization. Key Responsibilities• Leads complex data modeling initiatives and projects to derive insights from extracted data to solve critical business questions.• Translates client/ stakeholder needs into technical analyses and/or solutions in collaboration with internal and external partners and presents findings and outcomes to clients/ stakeholders• Identify rich data sources and monitors the melding and cleaning of datasets to ensure consistency • Accountable for delivering high quality project solutions and tools within agreed upon timelines and budget parameters and conducting post- implementation reviews• Guides other to develop sophisticated multivariate models and analytic solutions (e.g., dashboards, prototypes) utilizing complex statistical and data science techniques and methods • Delegates and reviews work for junior level colleagues to ensure downstream applications and tools are not compromised or delayed• Serves as a technical coach for junior-level colleagues and develops technical talent via ongoing technical training, peer review etc. All about you • Extensive Expertise in Python or other relevant programming languages.• Strong background in statistical methods, machine learning algorithms, and predictive modelling. • Skilled in using visualization tools like Tableau, Power BI, or similar to represent complex data. • Proficiency in using big data technologies like Hadoop, Spark, or similar frameworks.• Excellent in communicating complex data insights in a clear and effective manner. • Proven ability to manage and deliver data-centric projects successfully. • Eagerness to stay abreast with the latest advancements in data science and technology. • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for data processing and storage. • Knowledge of data security, privacy standards, and compliance regulations. • Working experience in Agile teams, demonstrating skills in adapting to changing requirements, fostering team collaboration, and driving efficient, iterative development processes.• Ability to work effectively in a team and with stakeholders from various backgrounds. What makes you stand out• Proven expertise in deploying machine learning models to cloud-based production environments, showcasing advanced skills in cloud technologies and the ability to scale models efficiently. • Experience with the innovative application of Generative AI in commercial settings, demonstrating the ability to leverage cutting-edge technology for practical business solutions. • Background in the financial industry, providing a deep understanding of the sector's unique data challenges and how to address them effectively. • Solid foundation in software engineering, with a focus on maintaining high code quality, effective version control, and rigorous testing practices, ensuring the development of robust and reliable software solutions. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: - Abide by Mastercard's security policies and practices; - Ensure the confidentiality and integrity of the information being accessed; - Report any suspected information security violation or breach, and - Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

• Lead the full model development lifecycle for data science models (ideate, develop, deploy, and maintain) • Lead Data Science-focused projects with responsibility for planning and allocating work for any junior members on the project • Contribute to enterprise data strategy and process improvement efforts with a focus on innovation through data science and machine learning • Mentor junior members of the department to help them gain necessary senior skills to advance their careers • Work in an Agile framework and provide proactive communication and progress to management & stakeholders • Collaborate with internal and external stakeholders to manage project status and any blockers • Proactive communication and updates on progress to both management and the organization • Partner with business stakeholders to understand business problems and identify solutions for development backlog • Help develop and deliver a training curriculum for citizen data scientists across the enterprise