Role Description Wir begleiten Mediziner:innen durch ihre Promotion — von Methodik über Auswertung bis zur fertigen Dissertation. Unsere Klient:innen sind keine Studenten, sondern erwachsene Profis, die liefern müssen. Als Werkstudent:in arbeitest du direkt an realen Mandaten mit: - Statistische Auswertungen durchführen - Unterstützung bei der Methodendiskussion - Prüfung wissenschaftlicher Texte - Schrittweise Einarbeitung in eigenständige Klient:innen-Betreuung Das ist keine Kaffeekoch-Werkstudi-Stelle, sondern echte fachliche Verantwortung mit Senior-Backup. Qualifications - Immatrikuliert in Statistik, Psychologie (empirisch/quantitativ), Sozialwissenschaft (quant), Wirtschaftsmathematik, BWL mit Empirie-Schwerpunkt, Mathematik, Public Health (quantitativ) oder vergleichbar. - Bachelor ab dem 4. Semester oder im Master. - Frühere Semester nur bei klarem Stats-Tutor-Track. - Mindestens 12 Monate verbleibende Studienzeit. - Aktuelle Statistik-Praxis. - Erfahrung im Erklären von Methoden. - Strukturierte, methodische Arbeitsweise. - Eigenverantwortung und Verbindlichkeit. - Deutsch auf C2-Niveau. - Lust auf Privatwirtschaft, nicht auf Uni-Karriere. Requirements - Statistische Auswertungen in R, Python, SPSS und MAXQDA durchführen — unter Anleitung, mit wachsender Eigenständigkeit. - Methodenteile in Dissertationen auf Korrektheit und Klarheit prüfen. - Doktorand:innen einfache Methoden schriftlich und im Gespräch erklären. - Senior-Berater:innen bei komplexeren Mandaten zuarbeiten. - Eigene kleinere Mandate übernehmen, sobald du fachlich sicher bist. - KI- und Automatisierungstools einsetzen, um Auswertungen effizienter zu machen. Benefits - Vergütung: 25 € / Stunde — deutlich über dem üblichen Werkstudi-Niveau. - Arbeitszeit: 20 Stunden / Woche, flexibel mit dem Studienplan vereinbar. - Echte Aufgaben: Eigene Mandate, eigene Kund:innen, eigene Auswertungen. - Mentoring: Persönliche Einarbeitung durch Senior-Berater:innen. - Profi-Umfeld: MacBook, moderne Tools, KI-Stack. - Übergangs-Option: Übernahmeangebot in Festanstellung nach Studienabschluss. - Klare Strukturen: Max. 2–3 Personen pro Büro. Company Description Wir sind ein kleines Unternehmen mit hoher Schlagzahl und hoher Effizienz. Wir brauchen sorgfältige, einsatzbereite und mitdenkende Werkstudent:innen, die methodisch sauber arbeiten, lernen wollen und in einem wachsenden Unternehmen Verantwortung übernehmen.

Role Description The Program Evaluation, Education, and Research (PEAR) unit, within the Department of Undergraduate Medical Education (UME), is seeking a qualified candidate to serve as Data Manager. The PEAR unit provides a range of evaluation services within UME, which administers and oversees the four-year medical school curriculum for roughly four hundred students. Evaluation and related services include: - Administering end-of-course evaluations and longitudinal surveys. - Tracking students’ grades and performance on the USMLE licensing exams. - Producing an annual Location Report. The Data Manager will be tasked with: - Managing, administering, and reporting on end-of-course evaluations and/or other evaluation instruments. - Facilitating course review processes. - Collecting, cleaning, aggregating, analyzing, and reporting data for the Location Report. - Producing the Location Report in both printed and digital formats. - Distributing the Location Report to UNM stakeholders within UNM. - Presenting on evaluation findings, the Location Report, and/or associated processes. - Other duties as assigned. The successful candidate must have a demonstrated record of taking initiative and achieving desirable results on current and/or past work projects. The candidate should be motivated, tenacious, and organized; they must have the skills and abilities to manage multiple projects, tasks, and timelines concurrently. The candidate must be effective at working independently and collaborating with other team members as well as faculty, staff, and students within UNM, as well as representatives of other institutions as necessary. The candidate should be a critical thinker who can consider other people’s points of view with clarity and empathy, assess the costs and benefits of various approaches to problem-solving and interpersonal communications, identify stakeholder needs, and propose creative and flexible solutions to challenges. The candidate must have excellent spoken and written communication skills and a willingness to brief team members, the PEAR Director, administrators, and stakeholders regarding the status of various projects. The candidate must be detail-oriented and thorough in completing work tasks and willing to reflect on their actions to build on successes and learn from mistakes. Qualifications - High school diploma or GED; at least 6 years of experience directly related to the duties and responsibilities specified. - Completed degree(s) from an accredited institution that are above the minimum education requirement may be substituted for experience on a year for year basis. Requirements - Expertise in Microsoft Word, Excel, PowerPoint, and Access (and/or another relational database application). - Knowledge of and/or experience with graphics applications (e.g., Adobe Creative Cloud, Adobe Stock, Illustrator, Photoshop, InDesign, and Acrobat) is desired but not strictly required. - Familiarity with UNM’s Undergraduate Medical Education (UME) and Graduate Medical Education (GME) programs and curricula. - Familiarity with a physician’s training trajectory from UME to GME and into practice. - Experience using one45 or a comparable curriculum management system. Benefits - This is a benefits eligible position. - The University of New Mexico provides a comprehensive package of benefits including medical, dental, vision, and life insurance. - UNM offers educational benefits through the tuition remission and dependent education programs. Application Instructions Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application. Please attach 1) a cover letter and 2) an updated resume. Your cover letter (up to 500 words) should address each of the preferred qualifications listed on the job-posting summary. Finalists should also be prepared to provide official education transcripts if selected for hire. Applicants must be prepared to provide the names of three references (one should be current supervisor) that the hiring official can contact.

• Apply statistical analysis, machine learning, and artificial intelligence techniques to solve complex business and mission challenges • Analyze large datasets to identify trends, patterns, anomalies, and operational insights • Develop predictive, prescriptive, and advanced analytical solutions • Design, build, evaluate, and refine machine learning models • Develop data visualizations, dashboards, and analytical products that communicate findings effectively • Transform raw data into actionable recommendations for stakeholders • Collaborate with customers to understand mission needs and operational requirements • Support enterprise analytics initiatives and decision-support capabilities • Participate in model validation, testing, and quality assurance activities • Provide technical leadership and mentoring within project teams • Participate in Agile development activities and cross-functional collaboration

• Lead the design, development, validation, and deployment of machine learning and AI solutions • Conduct applied research and develop analytical approaches to solve complex mission challenges • Design and execute studies using large-scale structured and unstructured datasets • Develop statistical models, predictive analytics solutions, and advanced analytical methodologies • Advise program leadership on technical strategies, emerging technologies, and analytical best practices • Deliver analytical findings through reports, visualizations, dashboards, and executive briefings • Lead model validation, quality assurance, and technical review activities • Mentor data scientists and analysts while providing technical leadership across project teams • Collaborate with stakeholders to identify mission gaps and data-driven solutions • Support strategic planning and capability development initiatives • Participate in Agile development activities and cross-functional team collaboration