Data Scientist (Imaging Physics Research)

In collaboration with physicians, nurses, and administrative staff, the Data Scientist will be responsible for developing and evaluating mathematical / statistical / computational techniques to analyze complex problems and promote data-driven decision making to improve the safety, quality, efficiency, and value across clinical operations. 

JOB SPECIFIC COMPETENCIES

·         demonstrated experience with computing/programming (Python, Matlab, R, Java, and/or SQL, noSQL, MongoEngine), machine learning / deep learning methods including neural network design, and statistical analysis.

·         Preference is for candidates with knowledge and experience in optimization, working with large datasets, and operations research.

·         Preferred experience with common open source scientific computing/machine learning libraries including: PyTorch / TensorFlow, pandas, scipy, scikit

·         Experience with database languages such as SQL, noSQL is also desirable.

·         The candidate should also have experience with multiple modern techniques and algorithms in machine learning and statistical computing such as regression, clustering/segmentation, time-series analysis, recommender systems, predictive analytics, data fusion, supervised/unsupervised learning, decision trees, A/B testing, optimization with evolutionary algorithms, and natural language processing. 

Responsibilities:

·         Develop algorithms and mathematical models to support decision making in clinical operations.

·         Collaborate and consult with clinical staff in defining, analyzing, and resolving analytical problems.

·         Design, develop and implement algorithms and software.

·         Develop key model performance metrics.

·         Design and implement experiments to test hypotheses and validate models.

·         Analyze and interpret large datasets to identify trends and patterns.

·         Develop and implement machine learning algorithms to automate processes and improve decision-making

·         Coordinate the creation of robust, user-friendly software tools that can be deployed in a clinical setting.

·         Work with end users to gather initial requirements, including clinicians, nurses, administrators, and other stakeholders.

·         Work with other data scientists in multidisciplinary research related to systems engineering, technology development, and data-intensive methods applied to surgery, interventional radiology, and diagnostic imaging.

·         Provide support for existing software systems as they evolve.

·         Communicate with other team members as well as research and clinical stakeholders throughout the institution to share information and best practices.

Data analysis and reporting

·         Familiarity with modern object-oriented programming languages such as Python, C++, and/or Java

·         Experience with large scale mixed-integer linear programming

·         Data extraction, transformation, and loading activities where needed to translate to and from relational data sets

·         Communicate results in clear written and/or oral formats at internal and external meetings and conferences

·         Must be able to fully communicate results and explain technical concepts to non-technical stakeholders

·         Ability to work independently and manage multiple projects simultaneously

Collaboration and Presentation

·         Interact and participate in collaborative studies inside and outside MD Anderson.

·         Present research results at internal and external meetings and conferences

·         Prepare final reports in the format requested for the data generated by suggested due date

·         Learn and help others in the implementation of new techniques