Principal AI/Modeling Scientist

For a client in the field of biopharma in Stuttgart we are looking for a Principal AI/Modeling Scientist (m/w/d). This is a 100% remote role and can be performed from anywhere within the EU.POSITION OVERVIEWWe are seeking a visionary and highly experienced Principal Modeling to join our R&D Team. In this strategic role, you will lead the design, development, and deployment of next-generation hybrid models and digital twin technologies for biopharmaceutical applications. You will drive innovation by integrating machine learning, mechanistic modeling, and bioprocess expertise to solve high-impact challenges in biomanufacturing. You will work closely with cross-functional teams, key customers, and senior leadership to deliver scalable solutions that shape the future of digital biopharma. As a senior technical leader, you will also mentor junior colleagues and help guide the strategic direction of the modeling team.KEY RESPONSIBILITIESStrategic Modeling and Digital Twin LeadershipLead the architecture and development of advanced digital twin models, integrating AI/ML with domain-specific knowledgeDesign hybrid modeling approaches that combine ODEs, SDEs, PDEs, and neural networks for accurate, scalable solutionsChampion the use of state-space and control theory to support process simulation and automation strategiesInnovation and Scientific LeadershipDrive strategic innovation in computational modeling, explainable AI (XAI), and optimization techniques tailored to biopharmaPublish research, present at conferences, and contribute to thought leadership in the modeling and digitalization communityEvaluate and integrate emerging technologies into our modeling frameworkStakeholder and Cross-Functional CollaborationServe as the modeling SME in interactions with C-level stakeholders, key customers, and external partnersTranslate scientific and technical insights into actionable strategies for customers and internal teamsCollaborate with software engineers, data architects, and product managers to ensure efficient deployment of solutionsTeam Mentorship and DevelopmentLead and mentor a team of modeling scientists, fostering a culture of scientific rigor, creativity, and continuous learningGuide the professional development of team members, supporting both technical excellence and career growthEnd-to-End Data and Model Pipeline OversightArchitect scalable, resilient data and modeling pipelinesLead model deployment and monitoring using cloud platforms and MLOps tools (e.g., Docker, Kubernetes, MLflow)Ensure model transparency, accountability, and real-world applicability through best-in-class validation and explainabilityTECHNICAL SKILLSProven expertise in hybrid modeling, probabilistic methods, neural ODEs, PDEs, control theory, and system optimizationDeep proficiency in Python and relevant data science and ML libraries (e.g., PyTorch, TensorFlow, JAX, Scikit-learn)Experience with distributed data processing and orchestration frameworks (e.g., Apache Spark, Airflow, Flyte)Proven expertise in machine learning (time-series analysis, computer vision, LLMs, etc.)Strong familiarity with cloud platforms (AWS, GCP, or Azure) for model deployment and scalable computationDeep understanding of upstream bioprocesses, bioreactor systems, and data sources in the biopharma domainSOFT SKILLSOutstanding communication skills, capable of conveying complex modeling concepts to executive stakeholders and cross-functional teamsStrategic thinking with a proven ability to align technical initiatives with business objectivesLeadership and mentoring abilities to inspire and grow technical teamsHigh-level problem-solving mindset and passion for innovation in biopharma digitalizationPREFERRED QUALIFICATIONSPrior experience leading large-scale modeling initiatives or research programs in the biopharma sectorStrong track record of peer-reviewed publications and scientific contributionsFamiliarity with regulatory standards and GMP environments in biopharmaExperience with advanced MLOps and explainable AI frameworksYOUR NEW SOCIAL BENEFITSMobile office option (up to 40%) and flexible working hoursFlat organizational structureOpen feedback cultureWork in interdisciplinary teamsContinuous training and mentoring opportunities30 days of annual leaveE-GYM membershipBike leasing for both professional and private useCompany pension planFresh fruit and beverages providedDoes this position sound like a good fit for you?Then please send us your CV, including your earliest possible start date and salary expectations.If you’re interested in other opportunities in the fields of medical technology, diagnostics, or pharmaceuticals, feel free to reach out to us at any time.