Hybrid Neuroscience Data Modeler – Brain Research

Über das Unternehmen

Siemens Healthineers enables healthcare providers worldwide to increase value by empowering them on their journey towards expanding precision medicine, transforming care delivery, improving patient experience, and digitalizing healthcare. We are a leading medical technology company with over 120 years of experience and 18,000 patents globally. We are passionate about enabling better patient outcomes by supporting our customers with innovative medical imaging, laboratory diagnostics, and advanced therapy solutions. Join us in shaping the future of medicine.

Stellenbeschreibung

We are seeking a highly skilled and motivated Hybrid Neuroscience Data Modeler to join our pioneering Brain Research division in Gera. This role is pivotal in transforming complex neuroscientific data into actionable insights, contributing directly to the development of next-generation diagnostic and therapeutic solutions. You will work within a dynamic, interdisciplinary team, leveraging advanced modeling techniques, machine learning, and statistical analysis to understand brain function and pathology. The ideal candidate will have a strong background in neuroscience, data science, and computational modeling, with a passion for innovation in healthcare.

Hauptverantwortlichkeiten

• Design, develop, and implement computational models for neuroscientific data, including fMRI, EEG, MEG, and structural MRI.
• Perform advanced statistical analysis and machine learning on large-scale brain imaging and clinical datasets.
• Collaborate with neuroscientists, clinicians, and engineers to define research questions and translate them into data modeling strategies.
• Develop and maintain robust data processing pipelines and visualization tools.
• Interpret complex data findings and present them clearly to diverse audiences.
• Contribute to scientific publications and presentations at conferences.
• Stay abreast of the latest advancements in neuroscience, data science, and AI/ML techniques.
• Ensure data integrity, quality, and adherence to ethical guidelines and privacy regulations.

Erforderliche Fähigkeiten

• Strong proficiency in Python or R for data analysis and modeling.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of neuroanatomy, neurophysiology, and cognitive neuroscience.
• Proven experience with neuroimaging data analysis software (e.g., FSL, SPM, AFNI, FreeSurfer).
• Excellent statistical analysis skills and understanding of experimental design.
• Ability to work effectively in a collaborative, interdisciplinary team environment.
• Strong problem-solving abilities and attention to detail.

Bevorzugte Qualifikationen

• Ph.D. in Neuroscience, Computer Science, Biomedical Engineering, or a related quantitative field.
• Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).
• Knowledge of clinical trial data and regulatory requirements in medical device development.
• Experience with big data technologies (e.g., Spark, Hadoop).

Vorteile & Zusatzleistungen

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible working arrangements.
• Opportunities for professional development and continuous learning.
• Access to cutting-edge research facilities and technologies.
• Employee assistance programs and wellness initiatives.
• Pension scheme with company contributions.
• Relocation assistance for eligible candidates.

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