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 simultaneouslyCollaboration 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 techniquesEducation Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.Experience Required: Three years experience in scientific software or industry development/analysis. With Master's degree, one years experience required. With PhD, no experience requireIt is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.htmlAdditional Information
Requisition ID: 172198
Employment Status: Full-Time
Employee Status: Regular
Work Week: Days
Minimum Salary: US Dollar (USD) 103,000
Midpoint Salary: US Dollar (USD) 129,000
Maximum Salary : US Dollar (USD) 155,000
FLSA: exempt and not eligible for overtime pay
Fund Type: Soft
Work Location: Hybrid Onsite/Remote
Pivotal Position: Yes
Referral Bonus Available?: Yes
Relocation Assistance Available?: Yes
Science Jobs: No
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