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Master Thesis - Molecular Imaging - Job Opportunity at Siemens Healthineers

Erlangen, Germany
Internship
Entry-level
Posted: June 1, 2025
Hybrid
EUR 800-1,200 per month for thesis students in Germany, with potential for EUR 1,000-1,500 considering Siemens Healthineers' market position and location in Erlangen's technology hub

Benefits

Flexible and dynamic work environment that encourages personal and professional growth beyond comfort zones
Mobile work arrangement allowing up to 60% remote work within Germany, providing exceptional work-life balance for students
Direct collaboration with diverse multi-disciplinary teams of scientists, engineers and physicians, offering unparalleled networking opportunities
Access to cutting-edge medical imaging technology and research facilities at a global healthcare leader
Structured mentorship and regular presentation opportunities to develop professional communication skills
Exposure to real-world clinical applications that directly impact patient care and medical decision-making

Key Responsibilities

Drive innovation in healthcare technology by developing sophisticated algorithms and software prototypes that directly enhance clinical decision-making capabilities for SPECT/CT and PET/CT imaging systems
Lead comprehensive technical analysis spanning both engineering challenges and clinical applications, positioning yourself at the forefront of medical technology innovation
Execute end-to-end software development lifecycle including advanced simulations, algorithm optimization, data curation, and automation script development with measurable impact on healthcare outcomes
Collaborate strategically with cross-functional teams of world-class scientists, engineers, and physicians to deliver solutions that shape the future of molecular imaging
Establish professional documentation standards and deliver high-impact presentations to technical teams, building critical communication skills for senior roles
Contribute to research initiatives that influence product development decisions affecting millions of patients globally

Requirements

Education

Pursuing a master's degree in computer science, electrical engineering, biomedical engineering, or a related field with ideally good grades

Experience

Student level with academic track record

Required Skills

Programming proficiency with Python GIT version control (nice-to-have) Familiarity with medical imaging and image processing (plus) Excellent communication skills in English German language skills (plus) Analytical thinking Structured and quality-conscious work approach Ability to work independently Collaborative team environment skills
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Sauge AI Market Intelligence

Industry Trends

The medical imaging market is experiencing unprecedented growth driven by aging populations and increased demand for non-invasive diagnostic procedures, with molecular imaging representing one of the fastest-growing segments expected to reach $8.9 billion by 2027. AI and machine learning integration in medical imaging is revolutionizing clinical workflows, creating massive demand for professionals who can bridge software development and healthcare applications. Healthcare digitization acceleration, particularly post-COVID, has created urgent needs for automated imaging analysis and decision support systems. Companies are investing heavily in algorithms that can reduce radiologist workload while improving diagnostic accuracy, making this field extremely promising for career development. The convergence of artificial intelligence, cloud computing, and medical imaging is creating entirely new job categories and career paths. Professionals with combined expertise in software development and medical applications are becoming increasingly valuable as healthcare systems worldwide adopt digital transformation strategies.

Role Significance

Typically 8-15 person cross-functional teams including software engineers, clinical specialists, product managers, and research scientists, with matrix reporting to both academic supervisors and industry mentors
Entry-level research position with significant strategic importance, offering direct exposure to product development decisions that impact global healthcare delivery. The role provides unusual access to senior technical leadership and clinical experts, accelerating professional development beyond typical entry-level positions.

Key Projects

Development of AI-powered diagnostic assistance algorithms that help radiologists identify early-stage diseases in SPECT/CT and PET/CT scans Creation of automated workflow optimization tools that reduce imaging processing time while maintaining clinical accuracy standards Implementation of cloud-based imaging analysis platforms that enable remote consultation and collaborative diagnosis across healthcare networks

Success Factors

Ability to translate complex clinical requirements into technical specifications, requiring strong communication skills and deep understanding of both medical and engineering perspectives Proficiency in rapid prototyping and iterative development methodologies, as medical imaging projects often require quick adaptation based on clinical feedback and regulatory requirements Strong foundation in statistical analysis and machine learning principles, as modern medical imaging increasingly relies on AI-driven pattern recognition and predictive modeling Understanding of regulatory compliance and medical device development processes, which are critical for bringing innovative solutions to market in healthcare industry

Market Demand

Very high demand with limited supply of qualified candidates, as the intersection of software development and medical imaging requires specialized knowledge that few professionals possess

Important Skills

Critical Skills

Python programming proficiency is absolutely essential as it serves as the primary language for medical imaging algorithm development, data analysis, and machine learning implementation. The healthcare industry has standardized on Python for AI applications due to its extensive libraries for scientific computing and image processing. Analytical thinking and structured problem-solving capabilities are crucial because medical imaging challenges often involve complex, multi-variable problems where systematic approaches are necessary to ensure patient safety and regulatory compliance. The ability to break down complex clinical requirements into manageable technical components directly impacts project success. Communication skills in English are vital for collaborating with international teams and presenting technical concepts to clinical stakeholders who may not have engineering backgrounds. The ability to translate between technical and clinical terminology is a rare and highly valued skill in medical technology.

Beneficial Skills

Experience with medical imaging formats and standards (DICOM, HL7) provides significant competitive advantage as these are industry-specific requirements that cannot be easily learned on the job Knowledge of machine learning frameworks (TensorFlow, PyTorch) is increasingly important as AI integration becomes standard in medical imaging applications Understanding of regulatory requirements (FDA, CE marking) for medical devices offers substantial career advantages as this knowledge is essential for product development roles in healthcare technology Familiarity with cloud platforms and containerization technologies is becoming critical as healthcare systems move toward distributed computing architectures for imaging analysis

Unique Aspects

Direct involvement in developing technologies that impact millions of patients daily, providing meaningful work that extends beyond typical software development roles
Access to proprietary medical imaging datasets and cutting-edge hardware that is unavailable in academic settings, offering unique research opportunities
Potential for patent applications and publication opportunities that can significantly enhance academic and professional credentials
Exposure to regulatory approval processes and clinical validation methodologies that are essential for healthcare technology careers
Opportunity to work with real clinical data and receive feedback from practicing physicians, providing invaluable insights into healthcare delivery challenges

Career Growth

Typical progression to mid-level roles within 2-3 years post-graduation, with potential for senior technical or team leadership positions within 5-7 years given the specialized nature of medical imaging expertise

Potential Next Roles

Medical Imaging Software Engineer positions at medical device companies with starting salaries of EUR 55,000-70,000 annually Clinical Applications Specialist roles that combine technical expertise with customer-facing responsibilities, typically paying EUR 50,000-65,000 Research and Development Engineer positions at healthcare technology companies, often leading to product management or technical leadership roles within 3-5 years Healthcare AI Specialist positions at consulting firms or tech companies, representing one of the highest-growth career paths in technology sector

Company Overview

Siemens Healthineers

Siemens Healthineers stands as one of the world's largest medical technology companies with EUR 18+ billion in annual revenue and operations in over 75 countries. The company has established itself as a leader in medical imaging, laboratory diagnostics, and healthcare IT solutions, with particular strength in innovative imaging technologies including MRI, CT, and molecular imaging systems.

Global market leader in medical imaging with approximately 35% market share in key segments, competing directly with GE Healthcare and Philips Healthcare. The company's strong R&D investment of over EUR 1.5 billion annually positions it at the forefront of healthcare technology innovation.
Erlangen serves as the global headquarters and primary R&D center for medical imaging technologies, hosting over 25,000 employees and representing the company's largest concentration of engineering talent. This location offers exceptional access to cutting-edge research facilities and direct collaboration with product development teams.
Known for fostering innovation through diverse, international teams with strong emphasis on employee development and technical excellence. The company culture promotes calculated risk-taking and cross-functional collaboration, with particular strength in mentoring young professionals and supporting academic partnerships.
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