Machine Learning Intern

Do you want to join us in helping to fight the world’s most threatening diseases and enabling access to care for more people around the world? At Siemens Healthineers, we pioneer breakthroughs in healthcare.  For everyone. Everywhere.

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 a Machine Learning Intern to perform exploratory data analysis on data from different open source and proprietary datasets and train machine learning models using various ML architecture to improve diagnostic capabilities.

Our global team: We are a team of 66,000 highly dedicated employees across more than 70 countries passionately pushing the boundaries of what’s possible in healthcare to help improve people’s lives around the world. As a leader in the industry, we aspire to create better outcomes and experiences for patients no matter where they live or what health issues they are facing. Our portfolio, spanning from in-vitro and in-vivo diagnostics to image-guided therapy and innovative cancer care, is crucial for clinical decision-making and treatment pathways.

Our culture: We are part of an incredible community of scientists, clinicians, developers, researchers, professionals, and skilled specialists pushing the boundaries of what’s possible, to improve people’s lives around the world.  We embrace a culture of inclusivity in which the power and potential of every individual can be unleashed. We spark ideas that lead to positive impact and continued success. Check our Careers Site at https://www.siemens-healthineers.com/en-us/careers. 

This is a role well suited to an ambitious professional, looking for the next step in their career. As a Machine Learning Intern, you will be responsible for:

• Working on advanced Machine Learning projects related to the fields of Data Science and Clinical Decision Support.
• Performing data transformations and exploratory data analysis, train Machine Learning models based on real data, and develop and deploy reusable analytical models for use in Lab Diagnostics products and/or to support the Lab Diagnostics business line.
• Contributing to an effort to provide advanced Clinical Decision Support. The objective of the project is to predict the likelihood of increased health risk, as well as specific diagnoses, e.g., rare diseases with a low prevalence in the population based on blood test results.
• Using real patient data, including health biomarkers and assay test results, you will use Machine Learning to build, train, test, and deploy reusable models for intended use on Atellica middleware.
• Independently developing and testing prototypes in an industrial healthcare environment, validate and communicate results to answer business-relevant questions.

This position may suit you best if you are familiar with what is below, and would like to develop your career with Healthineers:

• Technical basis and interest in growing knowledge of technologies, algorithms and methodologies in the areas of Machine Learning and big data.
• Strong Python programming skills necessary.
• PySpark and Machine Learning library experience optional.
• Databricks or similar platform experience optional.
• Comfortable with creation and analysis of complex models to support effective decision making.
• Motivation to develop strong presentation and communication skills to present technical and business-relevant insights at different levels of the organization.
• Willingness to work in a cross-functional team to enhance the Machine Learning and analytical aspects of our Lab Diagnostics business line.

Required skills to have for the success of this role:

• Preferred 3.0 GPA
• Currently enrolled in a Master’s or PhD degree program in Computer Science, Engineering, Mathematics, Science, or related discipline
• Experience in Machine Learning and strong interest in advancing your skills in this field
• Strong Python programming skills necessary.

Start Date: May/ June 2023

At Siemens Healthineers, we value those who dedicate their energy and passion to a greater cause. Our people make us unique as an employer in the med-tech industry. What unites and motivates our global team is the inspiration of our common purpose:  To innovate for healthcare, building on our remarkable legacy of pioneering ideas that translate into even better healthcare products and services. We recognize that taking ownership of our work allows both us and the company to grow. We offer you a flexible and dynamic environment and the space to move beyond your comfort zone to grow both personally and professionally.

Beware of Job Scams

Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers Career Site.  

If you want to join us in transforming the way healthcare is delivered, visit our career site at https://usa.healthcare.siemens.com/careers.

If you wish to find out more about the specific before applying, please visit: https://usa.healthcare.siemens.com/about.

As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.

Successful candidate must be able to work with controlled technology in accordance with US export control law." "It is Siemens Healthineers’ policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations.

Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job.