- Conduct research, design and implement algorithms using statistical methodology, machine learning for analysis of diagnostics data Implement algorithms in suitable high-level programming language
- Collaborate with internal and external partners to translate concepts and algorithms into implementable practical solutions of business relevance
- Advance the state-of-the-art including generating patents and publications in top journals and conferences
- Contribute to the group's efforts in decisioning sciences in the areas of integrated diagnostics and clinical decision support tools What do I need to qualify for this job?
- Post-graduate degree in Biostatistics/Applied Statistics/Applied Mathematics/Engineering/Sciences with 1 to 2 years of relevant experience
- Strong theoretical and practical knowledge in statistics, mathematics and machine learning
- Demonstrated ability in the application of statistical analysis on large-scale data
- Ability to write scripts in Python, R, Matlab or similar high-level programming languages is required
- Hands-on experience with deep learning frameworks such as Keras, TensorFlow or PyTorch is a plus
- Solid communication and interpersonal skills
- Creative, self-directed, and a team player with an ability to take ownership and accountability of assigned tasks 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 Healthineers is dedicated to equality and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens Healthineers 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.ContactIf you have further questions regarding this job offer, please post your resume mandatorily through the link mentioned below
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