Machine Learning Scientist

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Job description

Together, we can beat cancer.

At Varian, a Siemens Healthineers Company, we bring together the world's best talent to realize our vision of a world without fear of cancer. Together, we work passionately to develop and deliver easy-to-use, efficient oncology solutions. If you want to be part of this important mission, we want to hear from you.

As the Machine Learning Scientist, you have a strong background in generative and variational deep learning models, hands-on experience in data science, AB testing, causal inference, and are familiar with state-of-the-art machine learning algorithms and technologies. You will be working on multiple projects in Advanced AI team and will be consulted by multiple teams within Varian's Technology and Innovation Office in the field of Radiotherapy.

* Develop deep learning and machine learning models and algorithms in Python and Pytorch for various medical imaging projects.
* Implement the end-to-end pipeline for model development including data pre-processing
* Develop AB experiments and perform statistical analysis required
* Work cross-functionally with other teams to meet requirements for the products that the team is working on.
* You will be expected to contribute to and drive publications, and present results at internal and external scientific conferences.
* Brainstorm and lead AI discussions across multiple projects
* Knowledge and presentation of state-of-the-art technology and recent publications in AI

Requirements

* MSc or PhD in computer science or another STEM related field (Data Science, Physics, EE, Mathematics, Computational Neuroscience)
* At least 2-3 years work experience in industry setting where you have worked cross-functionally with other teams to develop AI products
* Strong programming experience working with Python, libraries such as Pandas, NumPy, Scikit-Learn
* Experience with deep learning platforms such as PyTorch
* Hands-on experience with Jupyter notebook
* Proven experience or education in linear algebra and statistics
* Strong background in developing deep learning and machine learning algorithms and models
* Ability to formulate a research problem, design, experiment and implement solutions
* Ability to work in a collaborative environment
* Exposure to the full ML product lifecycle process and able to take the initiative in making sure deadlines and requirements are met

Preferences

* Familiarity with GCP environment or other cloud-based environments
* Experience working with medical imaging and EMR data
* Experience working with transformers, multi-task learning, Meta learning, causal inference, and other state-of-the-art machine learning models and algorithms
* Experience with AB experiment design and statistical analysis
* Huge bonus would be to have publications related to deep learning, machine learning, and/or computer vision

Cultural fit

* Inspires others: Shares passion for our vision, culture, and opportunity
* Collaborative: Builds partnerships and ensures shared success
* Curious: Motivated by discovery and exploration in research, technology, and solution delivery
* Accountable: Owns and keeps commitments
* Data-driven: Balances data with intuition, embraces an experimental test and learn approach to make informed business decisions
* Results-oriented: Focuses on delivering results not activity
* Business minded: Demonstrates strategic thinking, operational intelligence, and sound judgment
* Courageous: Willing to make hard decisions in service of the business

Varian is required to comply with all local and applicable regulations that may be associated with vaccine requirements for certain roles.

Fighting cancer calls for big ideas.

We envision a world without fear of cancer. Achieving this vision takes dedication and commitment from all of us, every single day. That's why we celebrate and value the distinctly beautiful and intersectional identities of each of our employees. We are a mirror of our patient-base, which allows us to innovate. Big ideas come from everywhere, and the best ideas are fostered by our unique individual experiences. At Varian, we encourage you to bring your whole self to work and believe your bold and authentic perspective will help to power more victories over cancer.

#TogetherWeFight

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