101 applicants

Company

Original Job Post

MD Anderson Cancer Center · 2 days ago

Assistant Data Scientist

Houston, TX

Full-time

Onsite

Entry Level

$66K/yr - $99K/yr

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Responsibilities

Working with researchers to develop, adapt, and implement computational methods by applying deep learning methods and architectures for the datasets.

Working with minimal oversight with researchers in analyzing, defining, and resolving analytical problems and bugs.

Participating in discussion and implementation of machine learning model management solutions.

With direction, develops and maintains algorithms/tools and infrastructure for resolving specific analytical problems.

Working with faculty, IT personnel, and other researchers to respond to new technologies.

Keeping abreast of continually evolving analytical tools and strategies.

Maintaining high code quality and ensuring code is thoroughly and consistently tested before deploying for end user use.

Organizing data and publishing code with documentation, in line with departmental standards.

Providing support for existing software systems as they evolve.

Preparing and running QA testing on new features/components.

Performing curation and analysis of data.

Testing and containerizing publicly available, pre-developed containers and models to enrich the TMI container library.

Working with end users to gather initial requirements.

Assisting researchers to analyze a wide variety of clinical data, design, feasibility testing of proposed solutions, evaluate and interpret the results.

Presenting results in collaboration meetings, and communicating with other team members to share information and tips.

Communicating and assisting cooperatively and effectively with leaders, peers, end users, and support teams when required.

Qualification

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Deep LearningCTMRIPythonMATLABC++CUDABashSQLMachine LearningData AnalyticsImage AnalysisScientific Software DevelopmentMachine Learning LibrariesPyTorchTensorFlowContainerizationCloud-Native TechnologiesDockerKubernetes

Required

Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Computational Biology, or related field.

Experience developing deep learning models that can detect tumors on CT or MRI radiology images

Demonstrated experience with programming languages and scripting methods (Python, MATLAB, C++, CUDA, Bash, and/or SQL), machine learning / deep learning methods, data analytics, and image analysis

Preferred

Master's Level Degree

Experience in scientific software development/analysis with common open-source scientific computing/machine learning libraries (e.g., PyTorch / TensorFlow), containerization, and cloud-native technologies (Docker & Kubernetes) is preferred.

Experience developing deep learning models that can detect tumors on CT or MRI radiology images