• Develop and maintain data quality monitoring frameworks, including defining key data quality metrics and thresholds • Build and maintain quality dashboards and reports using programming languages (e.g., SQL, Python) and BI tools to provide near real-time study insights • Oversee data validation, coding, reconciliation (e.g., safety, device, external vendor data), and risk-based review processes • Ensure compliance with ICH-GCP, 21 CFR Part 11, HIPAA, and applicable FDA expectations for regulated SaMD trials • Partner with Engineering and Data teams to support ingestion, transformation, and traceability of multi-source clinical datasets (e.g., wearable data, ePRO, device integrations, CRO exports) • Manage CRO and vendor data management deliverables, ensuring sponsor oversight and quality standards are met • Identify data-related risks early and drive mitigation strategies • Contribute to SOP development and help standardize scalable, repeatable data management practices across Research Operations

Role Description Data scientists at Thoughtworks are responsible for leading and executing data science projects. They employ their profound expertise in statistics, modeling, machine learning algorithms, and data mining methodologies to render business value and illuminate data-driven insights. - Lead and manage data science projects from inception to completion. - Collaborate with stakeholders to understand strategic objectives and identify opportunities to leverage data for AI and machine learning. - Responsible for overall AI system design, problem framing, and governance. - Design, develop, and implement data science strategies that drive measurable business results. - Design experiments to rapidly test ideas and assumptions. - Use quality metrics to select machine learning models for production. - Communicate technical findings and insights clearly to stakeholders. - Contribute to the growth of the data science community and promote data literacy. - Address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility). - Work with CD4ML practices and data versioning tools. Qualifications - Experience in leading the analysis and modeling of different datasets. - Experience with statistical modeling, hypothesis testing, machine learning, deep learning, and optimization. - Specialty in at least one area of AI (e.g., NLP, computer vision, Generative AI). - Experience with R, Python, or equivalent statistical/data analysis tools. - Ability to gather and preprocess large volumes of structured and unstructured data. - Analyze datasets using statistical and visualization techniques. - Develop and implement machine learning models and predictive analytics. - Evaluate model performance using appropriate metrics. - Interpret and communicate findings to non-technical stakeholders. - Ensure compliance with data privacy regulations and ethical standards. Requirements - Understand the importance of stakeholder management and liaise effectively. - Resilient in ambiguous situations and adaptable to challenges. - Proactively manage risks and conflicts. - Eager to coach, mentor, and motivate others. - Advocate for technical excellence while being open to change. - Proven leader with a track record of encouraging professional development. - Strong relationship-building skills that create new opportunities. Benefits - Support for career development through interactive tools and numerous programs. - Empowerment in career journeys with a focus on continuous learning. Company Description Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. - Over 30 years of delivering extraordinary impact with clients. - Helping clients solve complex business problems with technology as the differentiator.

• Identify, extract and process data from relevant data sources for model development. • Researching and selecting suitable image data sources. • Managing the end-to-end image data collection and preparation process including filtering, extraction, cleaning, structuring, and quality checks. • Analyzing image datasets using ML models to validate data quality and labeling plausibility. • Designing prompt/query logic for LLM-driven automation of meta-labeling processes. • Research methods to collect video data for ML training. • Creating audit-ready documentation to support compliance and internal audits. • Validating and quality-checking annotations. • Ensuring consistency, completeness, and adherence to internal annotation guidelines, and providing structured feedback. • Documenting quality findings to support continuous improvement of data quality. • Collaborate closely with our software and product teams. • Continuously develop yourself and think outside the box.

Role Description Als Junior Data Scientist (Mensch) gestaltest du gemeinsam mit unserem Data Science Team aktiv den Erfolg unserer digitalen Strategien mit! Du tauchst tief in unsere Daten ein, um wertvolle Erkenntnisse zu gewinnen und innovative Lösungen zu entwickeln, die einen Mehrwert für unsere Kunden liefern. - Analyse & Algorithmen: Die Analyse großer Datensätze sowie die Entwicklung und Implementierung von Algorithmen und Machine-Learning-Modellen zur Optimierung unserer digitalen Werbekampagnen gehören zu deinen Hauptaufgaben. - Experimentation & Optimierung: Das Konzipieren und Evaluieren von Experimenten wie A/B-Tests zur kontinuierlichen Verbesserung der Performance von Modellen und Kampagnen fällt in deinen Aufgabenbereich. - Modell-Deployment & Monitoring: Deine Unterstützung ist bei der Implementierung und dem Monitoring von Data-Science-Modellen in Produktionsumgebungen gefragt. - Zusammenarbeit: Eine enge Kooperation mit unseren Marketing-, Produkt- und Engineering-Teams stellt sicher, dass datengestützte Lösungen erfolgreich integriert und ihre Wirkung maximiert wird. - Wissensaustausch: Dein Wissen teilst du aktiv im Team und trägst so maßgeblich zur Weiterentwicklung unserer Data-Science-Kompetenzen bei. Qualifications - Ein abgeschlossenes Studium, idealerweise im Bereich Wirtschaftswissenschaften, (Wirtschafts-) Informatik, Mathematik oder Naturwissenschaften, kombiniert mit erster Berufserfahrung. - Kenntnisse in Python (Pandas, SK-Learn, Numpy) sowie SQL und idealerweise Erfahrungen mit Cloud-Plattformen wie der Google Cloud Platform. - Idealerweise Kenntnisse in Tools wie Git und Jira. - Ausgeprägte Analysefähigkeiten und Technikaffinität. - Lösungsorientierte, strukturierte und agile Arbeitsweise sowie Kommunikationsstärke im Umgang mit verschiedenen Stakeholdern. - Verhandlungssichere Kommunikation auf Deutsch und Englisch. Requirements - Eigeninitiative - Selbstständigkeit - Teamfähigkeit - Lösungsorientierung Benefits - Work-Life-Balance: Mit unseren flexiblen Arbeitszeiten & Remote Work gestaltest du deinen Alltag so, wie er zu dir passt. Außerdem kannst du Überstunden ausgleichen. - Vacation mode on: Du erhältst 30 Urlaubstage plus einen flexiblen Tag – zusätzlich sind der 24. und 31.12. frei. - Wellbeing first: Gesundheitsleistungen, attraktive Altersvorsorge sowie Mental Health Awareness Days stellen deine Gesundheit in den Mittelpunkt. - Practice makes perfect: Entfalte dich mit unseren vielfältigen Weiterbildungen und nutze unsere internen Karriereprogramme für deine Entwicklung im WPP-Netzwerk. - More than just a job: Dich erwarten unvergessliche Events, Mitarbeitendenrabatte und weitere Highlights wie das Job Ticket, Wellhub oder das Job Bike. - Be yourself: Bei uns ist jede:r herzlich willkommen - Vielfalt und Chancengleichheit liegen uns am Herzen.