Job
- Level
- Experienced
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In your new role, you will analyze health-related data, develop data pipelines, and implement machine learning models to create innovative solutions for the healthcare sector.
Job Technologies
Your role in the team
- As part of our team at the Digital Health Excellence Center in Cologne, Berlin, Düsseldorf, Frankfurt/Main, Hamburg, Munich, or Stuttgart, you will lead German administrations at federal, state, and municipal levels into the digital future with us, creating modern and secure systems for millions of people.
- The focus is on the digital transformation of the healthcare sector - from interoperable IT solutions to innovative Digital-Health strategies.
- Analysis and interpretation of health-related data (e.g., electronic health records, medical imaging, wearables, clinical trials) to identify patterns and trends and to derive data-driven recommendations for improving patient and HCP experiences.
- Design, development, and maintenance of databases, data pipelines, and cloud architectures to support AI projects and ensure data integrity, scalability, and security.
- Development, implementation, and integration of machine learning models and LLM applications into production healthcare environments in collaboration with ML Ops and IT teams.
- Ensuring compliance with data protection and regulatory standards (e.g., GDPR, clinical trials) as well as considering interoperability and industry-specific requirements.
- Collaboration with technical and clinical teams to identify information gaps, optimize processes, and support business development through technical expertise in Healthcare Data Science.
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Our expectations of you
Education
- Strong analytical skills, problem-solving competence, and experience with data management, interoperability standards (e.g., HL7, FHIR, openEHR, SNOMED CT, OMOP, IHE, xDT), as well as regulatory requirements (e.g., GDPR, clinical trials).
Qualifications
- Solid knowledge of statistics, programming (e.g., Python, R, SQL), ML Ops/CI/CD (e.g., Kubernetes, Docker), and cloud computing (e.g., Azure, AWS, GCP).
Experience
- At least 2 years of relevant professional experience in Data Science, Healthcare, or related fields, as well as fluent language skills in German and English.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Ernst & Young GmbH
We work together to develop innovative solutions for the business world of tomorrow. This is the goal of our 10,000 colleagues at 20 locations across Germany. With our high-performance services in auditing, tax consulting, transaction and management consulting, we bring our clients successfully into the future.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Law, Finance, Economics
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.2
Engineering
2.5Workingconditions
3.8Culture
3.5Career Growth
3.3
Data Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
