Lead Research Engineer – Data Sciences - Clinical/Lifesciences

Job Requirements

Lead Research Engineer – Data Sciences - Clinical/Lifesciences

Introduction

Siemens Healthineers develops innovations that support better patient outcomes with greater efficiencies, giving providers the confidence they need to meet the clinical, operational and financial challenges of a changing healthcare landscape. With 45,000 employees Siemens Healthineers is one of the world’s largest suppliers of technology to the healthcare industry. As a global leader in medical imaging, laboratory diagnostics, and healthcare information technology, we have a keen understanding of the entire patient care continuum—from prevention and early detection to diagnosis and treatment.

We would like to recruit candidate who has a keen interest and passion for inter-disciplinary research and development in data sciences and diagnostics. This person will be involved in hands-on analysis of clinical data and development of computational algorithms.

What are my responsibilities?

- Drive research at the intersection of clinical data and AI/ML to solve complex problems in healthcare and diagnostics.
- Analyze and model multimodal clinical and diagnostic data using statistical, machine learning and AI approaches to derive clinically meaningful insights and decision-support solutions.
- Design, develop and evaluate AI/ML algorithms with a strong focus on methodological rigor, robustness, generalizability and clinical relevance.
- Develop reproducible research pipelines for data preparation, feature engineering, model development, validation and performance assessment using Python, R or other appropriate programming languages.
- Contribute to scientific innovation through patents, publications in high-impact journals and conferences, technical reports and other forms of intellectual property.
- Mentor junior researchers and data scientists , promote scientific rigor and reproducibility, and contribute to building a strong research culture within the team.
- Communicate complex technical and scientific concepts effectively to both technical and non-technical stakeholders

What do I need to qualify for this job?

- Advanced degree (Master's or Ph.D.) in Computer Science, Data Science, Statistics, Biostatistics, Applied Mathematics, Biomedical Engineering or a related quantitative discipline. Masters with 3-5 years of experience or PhDs with 0-2 years of experience, having some experience in the clinical, health or disease diagnostics focus.
- Strong research orientation and scientific curiosity , with demonstrated ability to formulate research questions, develop hypotheses, investigate novel approaches and independently drive research projects.
- Strong theoretical and practical foundation in statistics, machine learning and data science , including appropriate understanding of model development, validation, uncertainty and statistical inference.
- Hands-on experience working with real-world clinical, biomedical or healthcare data , preferably involving longitudinal, multimodal, high-dimensional or observational datasets.
- Proficiency in Python and/or R , with the ability to build robust and reproducible data analysis and machine learning pipelines.
- Experience with modern machine learning and deep learning methodologies and relevant frameworks such as PyTorch, TensorFlow, scikit-learn or equivalent tools.
- Experience with clinical prediction, risk stratification, decision support, medical AI or healthcare analytics is highly desirable.
- Understanding of experimental design, clinical study methodology and evaluation of AI/ML models in healthcare is a strong advantage.
- Experience with cloud-based data and ML environments such as Azure, AWS or equivalent platforms is a plus.
- Strong scientific communication skills , with demonstrated ability to contribute to peer-reviewed publications, conference presentations, patents or other research outputs.
- Ability to work independently while collaborating effectively across multidisciplinary and geographically distributed teams .
- A strong interest in turning scientific research into impactful healthcare solutions is essential.

In case you have acquired your skills in alternative ways your application is just as well appreciated.

What else do I need to know?

Siemens is dedicated to equality and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.

We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.