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The MITRE Corporation Lead Data Scientist – Healthcare in Windsor, Maryland

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE—and make a difference with us.

MITRE's Health Systems Analytics and Visualization Group is seeking a motivated, creative Lead Data Scientist to apply cutting edge tools and techniques to challenging problems facing the US government. This position offers the opportunity to interact directly with government leaders in a fast-paced and dynamic atmosphere with the ability to make a difference and impact outcomes with solid analysis. Our team members are expected to work on multiple projects, cross-pollinate good ideas across the government and continuously learn. We are an interdisciplinary department that thrives on having a large toolbox to support data- and model-driven decision making. We value people who can bring diverse perspectives. Our department works to solve problems in the public interest, in partnership with the government. MITRE also actively conducts independent research in areas of interest to our government partners, and once established with a proven track record of quality delivery and consistent performance, members of our department have latitude to select projects.

This is an outstanding opportunity to have substantial impact on national and international health, fostering research, improving care and public health outcomes, and lowering burden and costs.

To be successful you will:

  • Be passionate about applying data analytics to real world healthcare problems.

  • Have an innate curiosity and interest in developing research questions and testing hypotheses with open ended tasking.

Responsibilities include:

  • Work with a spectrum of government sponsors to gain understanding of their challenges, evaluate possible solutions and conduct insightful, actionable analyses.

  • Support the development and application of a variety of analytical models to sponsor challenges, with a willingness to adapt and learn.

  • Present results in an intuitive, actionable manner that can be understood by all sponsor audiences, regardless of technical expertise.

  • Lead projects throughout their life cycle, including conceptualization, requirements definition, data procurement, development, integration, and socialization.

  • Provide relevant day-to-day tasking for one or more junior staff.

Required Qualifications

  • Master’s Degree in science, engineering, or a health-related field, with 10+ years of relevant work experience. A Bachelor’s degree coupled with substantial experience would be acceptable

  • Demonstrated ability to manipulate large datasets and perform calculations with at least one modern programming language or business intelligence platform like Python (scikit-learn, pandas, tensorflow), R, SAS, or MATLAB

  • Ability to apply, modify and formulate algorithms and processes to solve challenging problems.

  • Demonstrated experience leading customer facing engagements emphasizing data analytics.

  • Experience visualizing multi-dimensional data using tools like Tableau, ggplot2, matplotlib, seaborn, or D3.js

  • Strong written and oral communication skills.

  • Exceptional organizational skills and meticulous attention to detail

  • A track record of successfully delivering on deadlines

Preferred Qualifications:

  • 7 or more years applied experience working at a local, state, tribal, territorial, or federal

  • public health agency

  • Applied expertise working with public health data sets conducting data analyses and qualityassurance practices, and storing data efficiently

  • Applied expertise working with public health information systems, open data sources, anddata standards

  • Experience applying various machine learning approaches (e.g., random forest, neural networks, support vector machines)

  • Exceptional experience in complex analysis and strategic operational support

  • Prior experience working with databases (e.g., PostgreSQL, Oracle, MySQL, MongoDB, Neo4j).

  • Experience using version control (e.g., Git, Mercurial, SVN) to support collaborative development.

  • Prior experience developing interactive data visualizations using open source web technologies (Angular, Vue, React, D3) or other frameworks (Shiny, Jupyter Notebooks)

  • Research experience.

MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, gender, gender expression, sexual identity, disability, age, veteran status, and other protected status.

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At MITRE, we solve problems for a safer world. Through our federally funded R&D centers and public-private partnerships, we work across government to tackle challenges to the safety, stability, and well-being of our nation. As a not-for-profit organization, MITRE works in the public interest across federal, state and local governments, as well as industry and academia. We bring innovative ideas into existence in areas as varied as artificial intelligence, intuitive data science, quantum information science, health informatics, space security, policy and economic expertise, trustworthy autonomy, cyber threat sharing, and cyber resilience.

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