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1 Week ago

Data Analysis and Simulation Professional / Data Scientist

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Pune, Maharashtra, India
Manufacturing & Industrial
Full-Time
Siemens Healthineers

Overview

Do you want to help create the future of healthcare? Our name, Siemens Healthineers, was selected to honor our people who dedicate their energy and passion to this cause. It reflects their pioneering spirit combined with our long history of engineering in the ever-evolving healthcare industry.

We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally. Sound interesting?

Then come and join our global team as Data Scientist (f/m/d) for Machine Learning (ML)-based Application Development in Magnetic Resonance (MR)

Your tasks and responsibilities:

  • You manage and extend our pool of MRI training and validation data.
  • You ensure compliant data ingestion from customers, collaboration partners, and internal teams.
  • You organize and store data efficiently and implement quality control measures for data.
  • You establish Standard Operating Procedures for data handling and storage within the organization.
  • You ensure data integrity and accessibility for machine learning projects.
  • You support ML development activities by assisting in data selection and dataset curation considering statistical soundness and requirements for regulatory approvals.
  • You work closely with our scientists and engineers to train, evaluate, and improve ML models.
  • You perform tests and scientific evaluations on our data.
  • You support regulatory submission processes by delivering data management specifications.

To find out more about the specific business, have a look at Magnetic Resonance Imaging

Your qualifications and experience:

  • You have successfully completed a university degree (Master's/Diploma/PhD) in Computer Science, Data Science, Machine Learning, Bio-Medical Engineering or similar.
  • You have 2 to 5 years of professional experience in data science and machine learning, preferably within medical imaging or healthcare.
  • You have proficiency in Python, R; experience with TensorFlow, PyTorch, scikit-learn and C++
  • You have a proven track record of establishing and maintaining standard operating procedures for data handling and storage.
  • You are familiar with ensuring data integrity and accessibility for advanced ML projects.
  • You have knowledge of statistical modeling and methods and regulatory requirements in data management.

Your attributes and skills:

  • Since the development teams of the Application Release Train are spread internationally across three locations, strong English Communications skills are required.
  • We win together - that's why you are proactively committed to delivering the best possible solutions to our customers
  • You present your ideas and results confidently and convincingly in cross-functional development teams
  • Personally, you are characterized by your strong teamwork and cooperation skills as well as your persuasiveness
  • The highest quality standards in product development are a matter of course for you

Our global team:

Siemens Healthineers is a leading global medical technology company. 66,000 dedicated colleagues in over 70 countries are driven to shape the future of healthcare. An estimated 5 million patients across the globe benefit every day from our innovative technologies and services in the areas of diagnostic and therapeutic imaging, laboratory diagnostics and molecular medicine, as well as digital health and enterprise services.

Our culture:

Our culture embraces different perspectives, open debate, and the will to challenge convention. Change is a constant aspect of our work. We aspire to lead the change in our industry rather than just react to it. That’s why we invite you to take on new challenges, test your ideas, and celebrate success.

Check our Careers Site at Jobs & Careers - Siemens Healthineers India As an equal opportunity employer, we welcome applications from individuals with disabilities.
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