Job
- Level
- Lead
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- 109.800 bis 138.500€ Brutto/Jahr
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle gestaltest du datenwissenschaftliche Projekte von der Konzeption über komplexe Analysen bis zur Kommunikation von Erkenntnissen, und entwickelst innovative KI-gestützte Lösungen für evidenzbasierte Entscheidungsfindung.
Job Technologien
Deine Rolle im Team
- Lead and shape high-impact data science initiatives across the full analytics lifecycle, from study design and data feasibility assessments to advanced analyses, interpretation, and communication of insights using real-world data, statistical methods, machine learning, and AI.
- Design and implement innovative analytical solutions that advance real-world evidence generation, strengthen scientific rigor, and support product commercialization, lifecycle management, and healthcare decision-making.
- Build and scale AI-enabled analytical capabilities by developing vendor-agnostic AI agent toolkits, reusable machine learning components, and intelligent workflows that accelerate evidence generation.
- Drive the responsible adoption of AI by establishing practical validation approaches, governance principles, and quality standards that align with scientific, ethical, and regulatory expectations.
- Develop robust evaluation frameworks for AI-powered analytical workflows, ensuring transparency, traceability, reliability, and appropriate risk mitigation when working with complex real-world data.
- Act as a trusted scientific and technical leader, providing guidance, mentorship, and coaching to colleagues while fostering a culture of collaboration, continuous learning, and innovation.
- Partner closely with cross-functional teams, including Global Medical & Evidence, Product Teams, R&D Data Science, Clinical Development, HEOR, Market Access, and external collaborators, to translate business and scientific questions into actionable evidence and insights.
- Contribute to the strategic growth of RWDS&AI by advancing data science methodologies, AI/ML capabilities, infrastructure priorities, and best practices, while representing the organization through scientific collaborations, publications, and conference presentations.
Unsere Erwartungen an dich
Qualifikationen
- You hold a PhD (preferred) or MSc in Data Science, Computational Science, (Bio-)Informatics, Mathematics, Statistics, Physics, Engineering, Epidemiology, Econometrics, Machine Learning, or a related discipline.
- You have a proven track record of leading complex analytical projects, influencing strategic decisions, and supporting the development of technical teams.
- You bring deep expertise in Statistical Analysis, including causal inference, advanced adjustment methods, sensitivity analyses, and the development of scientifically robust analytical approaches aligned with regulatory expectations.
- You have strong capabilities in Machine Learning, AI, and Software Engineering, including the development of reusable models, pipelines, AI-enabled workflows, and production-ready analytical solutions that create business value.
- You possess hands-on expertise in Data Science Infrastructure, Data Modeling, Ontologies, and Programming, with advanced proficiency in Python and/or R, SQL, modern analytical platforms, reproducible workflows, and standardized data models such as OMOP CDM.
- You are a collaborative communicator with strong analytical thinking, stakeholder management, problem-solving, adaptability, and innovation skills, and you communicate fluently in English, both written and spoken.
Erfahrung
- You bring extensive professional experience in Data Science, Advanced Analytics, or a related field Experience within healthcare, life sciences, or the pharmaceutical industry is highly valued.
- You are an expert in Real-World Data (RWD) and have experience designing scalable analytical solutions, defining data models, assessing data feasibility, and selecting appropriate data sources to answer complex research questions.
Unser Angebot
- We ensure your financial stability with a competitive salary between 109.800€ and 138.500€ per year (full-time) plus a variable component and a global equity-based cash plan.
- Your compensation is based on your qualifications, skills, and professional experience.
- Whether it's hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you.
- Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more.
- We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs.
- We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor.
- We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Bayer AG
Die Bayer AG ist ein international agierendes Unternehmen, das sich auf die Bereiche Gesundheit und Ernährung spezialisiert hat. Unser Fokus liegt auf der Entwicklung von Produkten und Dienstleistungen, um den Menschen und dem Planeten Gutes zu tun. Gemeinsam arbeiten wir an Lösungen, um den globalen Herausforderungen einer wachsenden und alternden Weltbevölkerung gerecht zu werden.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Pharma, Chemie, Biotech
Senior Lead Data Scientist
- Gehalt
- 109.800 bis 138.500€ Brutto/JahrNetto aus dem Bruttogehalt im Inserat mit Steuerklasse I umgerechnet.63.137 bis 78.447 € netto/Jahr · Steuerklasse I
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
