Scientist (m/w/d): Entrepreneur-in-Residence

Location:

Munich Fraunhofer-Gesellschaft Apply now

Summary

Working Time: Part-time
Type: Permanent position

Desired Skills & Knowledge

Network Machine Learning Clinical Operations Cloud CAN Administration Make Solid Development environments TVöD IoT Design Security SQL Azure IT START across Internet of Things Origin Translation software Mobile App Transport AWS Hybrid Analysis 3D Engineering Teamwork Flexibility

Our Benefits

Company ticket

Job Description

The Fraunhofer-Gesellschaft (www.fraunhofer.com) is one of the world's leading organizations for application-oriented research. 75 institutes develop pioneering technologies for our economy and society - more precisely: 32,000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference. For themselves, for us and for the markets of today and tomorrow.

Do you want to change the world through science? Then the Fraunhofer Institute for Electronic Microsystems and Solid State Technologies EMFT is the perfect place to start your career!

With around 190 highly qualified employees at our locations in Munich, Oberpfaffenhofen and Regensburg, we combine many years of experience with extensive expertise in microelectronics and microsystems technology. Our wide range of technologies spans from advanced semiconductor processes and MEMS technologies to innovative 3D integration and flexible electronics.

These nano and microtechnologies form the foundation of our diverse fields of expertise, which include sensor technology, circuit design, system solutions with AI, analysis and testing, as well as micropumps.

Through the close collaboration of our experts, not only groundbreaking innovations arise, but also synergies that enable Fraunhofer EMFT to effectively tackle the complex challenges of our time.

At CAELIA Health, we are building the data and AI foundation for precision respiratory medicine.

What we offer

You shape a core pillar of the company from an early stage
You work with a strong founding team across product, sensors, and clinical operations
You help define the future of data-driven respiratory care - not just another dashboard
As Co-Founder you will receive equity shares and long-term incentive
A challenging and varied job with meaning and responsibility - you will be dedicated to the challenges of our society and help shape the future!
With us, you have room for commitment and creativity - you can set your own priorities and realize your ideas in the team and in the projects
Teamwork makes the dream work - you work in an open-minded and dynamic team that will place its trust in you from the outset
Integration into a large scientific network with a structured onboarding program
Individual and extensive training opportunities and career boosters for your professional and personal development, e.g. opportunities for a doctorate or participation in the Fraunhofer TALENTA Women's promotion program
Work-life balance through flexible working time models, With-Child office, hybrid working and many other offers
Good transport connections and a discounted job ticket with employer subsidy

The weekly working time is 39 hours. This position is also available on a part-time basis. We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable - for applicants with disabilities, we work together to find solutions that best promote their abilities. Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD). Additionally Fraunhofer may grant performance-based variable remuneration components.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.

Fraunhofer Institute for Electronic Microsystems and Solid State Technologies EMFT www.emft.fraunhofer.de

Your Tasks

This is not a "maintenance" role. You will help define what is possible when high-quality sensor data, machine learning, and privacy-first architectures come together in healthcare.

Be part of change As CDO, you own CAELIA's data and AI backbone. Your success will be measured by how well our data platform enables better products, better models, and ultimately better outcomes for patients.

Build and scale CAELIA's data & AI platform
Define and implement the end-to-end data strategy: from data ingestion to model training and deployment
Turn complex, sensitive respiratory and sensor data into robust, explainable, and clinically meaningful insights
Enable privacy-preserving learning approaches (e.g. Federated Learning) across partners and studies
Work closely with hardware, software, and clinical teams to bring models into real-world products
Ensure interoperability (FHIR / HL7), data quality, and regulatory readiness (GDPR, MDR)
Design and evolve scalable data architectures for medical and sensor data
Develop ML pipelines and MLOps workflows suitable for regulated environments
Lead model lifecycle management: validation, monitoring, explainability, and iteration
Establish data governance, security, and privacy-by-design principles
Collaborate on clinical studies, pilots, and real-world evidence generation
Translate product and clinical questions into data and model requirements

Being successful in this role means building systems that others can trust - clinicians, regulators, partners, and patients alike.

What you contribute

Your Profile

Strong background in Data Engineering, Machine Learning, and applied AI with hands-on approach
Experience working with sensitive data (health, medical devices, IoT, research, or similar domains) is a plus
Solid understanding of cloud architectures and ML-Ops (AWS, Azure, or GCP)
Familiarity with privacy-preserving or distributed learning approaches (e.g. Federated Learning)
Comfort operating in regulated or safety-critical environments
Clear communicator who enjoys working across disciplines
Product-driven, pragmatic, and curious - someone who likes to build, test, and learn

Formal leadership titles or years are not the focus. We value capability, mindset, and growth potential. Show more Show less

Profile

Professional Requirements

Amazon Web Services, Respiratory systems, GDPR, Data Governance, Data ingestion, Data quality, Data strategy, Evidence-based practice, Fast Healthcare Interoperability Resources, Research, Design principles, Health Level Seven International, Information Engineering, Maintenance, Internet of Things, Interoperability, Clinical work, Clinical research, Artificial intelligence, Lifecycle management, Machine learning, Machine learning operations, Medical care, Medical devices, Microsoft Azure, Sensor technology, Safety regulations, Safety-critical, Distributed learning, Workflows

Personal Skills

Leadership skills, Hands-on mentality, Communication, Curiosity Show more Show less

Application

Apply now

Industry:

Education / Research

Employer:

Fraunhofer-Gesellschaft

Address:

Fraunhofer-Gesellschaft Am Wolfsmantel 33 91058 Erlangen

Web:

http://www.fraunhofer.com, www.emft.fraunhofer.de

Benefits: Company ticket MinSalary: MaxSalary: SalaryCurrency: EUR Remote Model: H Country Code: de