Mid-Atlantic Permanente Medical Group
Mid-Atlantic Permanente Medical Group
MAPMG is an Equal opportunity Employer. To learn more, view Equal Employment Opportunity is the Law in English or Equal Employment Opportunity is the Law in Spanish. We also participate in the E-Verify program, as required by law.
MAPMG is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our job application procedures. If you need assistance or a special accommodation, you may contact us at Careersatmapmg@kp.org
Job Category: Finance
Requisition Number: SENIO005179
Regional Office, 18801, 2101 East Jefferson St., Rockville, MD, 20852, USA
Who We Are:
The Mid-Atlantic Permanente Medical Group, (MAPMG) is one of the nation’s premier multispecialty medical groups and is the largest integrated medical group in Maryland, Virginia and the District of Columbia. Founded in 1980, the medical group has more than 1,700 Permanente physicians spanning more than 50 subspecialties. Together, we serve approximately 800,000 Kaiser Permanente members in Maryland, Virginia, and the District of Columbia at 34 area medical centers, plus several community hospitals and skilled nursing facilities.
We are seeking a Senior Data Scientist to join the MAPMG Data Science team. The Senior Data Scientist will help create the next generation of models and advanced analytics at MAPMG. The successful Senior Data Scientist will help to develop MAPMG’s proprietary modeling codebase using SDLC best-practices and next-generation deep learning techniques; collaborate with Data Engineers to deploy Machine Learning products using containerized deployment architectures; ensure the accuracy and timeliness of analytical and production deliverables; and propose new ideas for projects and approaches to solve the organization’s biggest problems. The Senior Data Scientist will act as a highly independent individual contributor, with additional responsibilities including mentorship for other members of the team and acting as a secondary supervisor when the Manager of Data Science is unavailable.
The MAPMG Data Science team is responsible for creating cutting-edge models that deliver meaningful business and clinical impacts. The team’s cutting-edge deep learning models have been published in leading medical informatics journals. In addition to patient modeling, the Data Science team has built radiological computer vision models, clinical Natural Language Processing algorithms, epidemiological forecasts, and applied advanced statistical analysis to numerous operational programs.
Innovate relentlessly in the fields of clinical machine learning, applied statistics, and decision sciences.
Explore Electronic Medical Records to build datasets capable of answering complex clinical questions and of powering modern machine learning algorithms.
Create, test, and maintain proprietary modeling and analytical software packages.
Build, deploy, and present predictive models and analytical products.
Employ Machine Learning, Statistical, and Software Development best-practices.
Write clean, performant, reusable code to perform repeatable analyses and to train and deploy models to multiple environments.
Offer mentorship and guidance to other members of the Data Science team.
Act as a secondary supervisor in case the Manager of Data Science is unavailable.
Other duties as assigned.
Core Technical Skills:
Experience building and deploying Advanced Machine Learning algorithms, especially:
Attention- and Self-Attention-based deep learning frameworks (e.g. Transformer)
Entity embedding (Word2Vec, Doc2Vec, etc.)
Bayesian modeling (MCMC- or Filter-based sampling algorithms, nonlinear likelihood functions)
Computer Vision or Natural Language Processing experience is a plus
Advanced Statistical Analysis, especially:
Propensity Scoring Methods (Matching, IPTW, etc.)
Clinical study design and analysis
Software architecture skills for data science (ability to build full systems)
Python (TensorFlow preferred/Torch accepted, Pandas, SciKit-Learn, etc.)
SQL (Oracle a plus)
Key Performance Indicators and Metrics:
High-quality code with on-time delivery
Knowledge transfer to other team members
Core Soft Skills:
Oral presentation skills (esp. to nontechnical audiences)
Technical writing skills (prior published works a plus)
Advanced Degree (Master of Science or PhD) or portfolio of projects demonstrating solid skills in programming and machine learning
Minimum of three (3) to five (5) years of work experience with design patterns, implementation, and deployment of AI and/or data science products
Must be proficient with Advanced, Object-Oriented Python
Must be proficient with SQL
Experience Git strongly preferred
Strong problem-solving skills and capability to understand and set direction for complex technology integration
Understanding and focus on business outcomes
Competitive compensation package
Comprehensive benefits including 100% employer-funded medical and dental insurance premiums for employees and families
Great work/life balance
Generous paid time off
Maternity and parental leave
Pension plan and 401(k) retirement plan
Life insurance, and short-term disability and long-term disability coverage
Equity, Inclusion, and Diversity:
MAPMG continuously works to identify and mitigate healthcare inequities, and that starts with providing an inclusive, supportive environment for our physicians. We encourage applicants of any race, color, religion, sex, sexual orientation, gender identity, or national origin who value diversity and will commit to practicing culturally competent healthcare.
External hires must pass a background check/drug screen.
We are proud to be an equal opportunity/affirmative action employer.
We value our diversity and E/O/E M/F/D/V.
Executive Order 11246 requires affirmative action and prohibits federal contractors from discriminating on the basis of race, color, religion, sex, sexual orientation, gender identity, or national origin. Contractors also are prohibited from discriminating against applicants or employees because they inquire about, discuss, or disclose their compensation or that of others, subject to certain limitations.
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