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,...