The primary function of the Senior Data Scientist position is to design, analyze, develop and assist others in the development of formulas, algorithms and software for complex applications in mathematical calculations to meet the needs of MD Anderson clinical and research communities. The Senior Data Scientist provides technical expertise in defining, developing, implementing, and supporting software tools for Natural Language Processing, Machine Learning models and Text Analytics at MD Anderson Cancer Center.
REMOTE MUST LIVE IN TEXAS
Manage/lead projects involving data science methods
• Provide technical expertise in the design, development, testing, implementation, and tuning of Natural Language Processing, Machine Learning model, Large Language Model, and Text Analytics software tools.
• Lead in identifying the scope and needs of source data and actively gather detailed business requirements and business rules of content extraction.
• Build Text Analytics and NLP Information Models perform and analyze performance results and iteratively update model to meet precision and recall requirements.
• Build, customize, and optimize data dictionaries used in text analytics and NLP.
• Documents detailed design specifications (ETL, specs, Information models, etc.) using appropriate standardized documentation.
• Identifies and resolves project issues. Identifies, recommends and incorporates quality assurance and risk mitigation activities into issue resolutions/solutions.
• Has a fundamental understanding of technical concepts.
Provides support of software tools maintained by Enterprise Development & Integration NLP team
• Triages and provides immediate support to the user community
• Coordinates full resolution and documentation.
• Performs on-call duties in conjunction with other EDI NLP team members.
Demonstrates expertise in utilizing industry best practices in data science
• In the acquisition, development, implementation, tuning and monitoring of LLM, NLP applications
• Maintenance applications according to industry and Institutional best practices
Manages client relationships
• Serving as a trusted technical subject matter expert and advisor.
• Assist client in identifying opportunities, plan for and scope future activities.
• Inform client of current trends and best practices.
• Assist in aligning client with other institutional initiatives/activities which may provide benefit to them.
IC-Analytical Thinking
Gather relevant information systematically; break down problems into simple components; make sound decisions
Other duties as assigned
Education 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:
Five years of experience in scientific software programming with a concentration in scientific computing. With Master's degree, three years experience required. With PhD, one year of experience required.
Preferred Experience:
• ML Model Management
•Experience with Machine Learning models such as BERT, OpenLLaMA, or ChatGPT
Experience with Java, Python, Regular expression, Web service, XML, and Natural Language Processing
• Experience working in large academic healthcare institution
• Experience in clinical or medical informatics
It 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.
Additional Information
• Requisition ID: 166012
• 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: Hard
• Work Location: Remote (within Texas only)
• Pivotal Position: Yes
• Referral Bonus Available?: Yes
• Relocation Assistance Available?: Yes
• Science Jobs: No
#LI-Remote
Location: Houston, TX
Posted: Aug. 22, 2024, 12:21 p.m.
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