• Review and refine AI-generated outputs related to data science, machine learning, statistical modeling, and practical aspects of deploying data-driven solutions • Evaluate AI responses for accuracy, application of statistical and machine learning methods, and compliance with real-world requirements • Draft realistic data science scenarios based on your direct professional experience • Create scenario variations from different perspectives (e.g. data scientist, business stakeholder, manager, or client) • Identify gaps, oversights, or weak reasoning in AI-generated data science content

Site: The General Hospital Corporation Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. The Obstetrics and Gynecology Department at Massachusetts General Hospital is seeking a Data Scientist to provide analytic and project management support for its reproductive health research initiatives. The Data Scientist position requires strong project management and data analytic skills, experience with large healthcare datasets (claims, electronic health records, etc), close attention to detail and timelines, discretion in handling sensitive information, and strong interpersonal skills. The candidate will perform data management, statistical analysis, and report preparation to facilitate the analysis of and interpretation of healthcare data. The position offers significant involvement in an exciting area of research and a collaborative research environment. Our research group uses data generated from the routine delivery of healthcare to learn about care delivery, evaluate the effectiveness of medical interventions, and generate evidence that can inform patients, providers and policy makers. Ultimately, we seek to conduct studies that result in improved care for pregnancy, cancers of the female reproductive organs, infertility, and other issue that affect persons with female reproductive organs. Job Summary Summary Responsible for analyzing data, uncovering the underlying data patterns and logic, and developing data-driven applications. They will work towards developing solutions for the entire problem-solving cycle: find/prioritize the problems, research the best algorithms to solve the problems, design robust, practical solvers, and implement them. Does this position require Patient Care? No Essential Functions -Analyze complex and high-dimensional clinical and operational data for dependencies, patterns, outliers, inaccuracies, and validity. -Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and/or advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries. -Contribute to the design and evaluation of optimal data-driven metrics (such as physician/facility performance criteria, bottleneck metrics, productivity limits, processing delay/error reports, etc.). -Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. -Generate and test hypotheses and analyze and interpret the results. Qualifications Education Bachelor's Degree Related Field of Study required or Master's Degree Related Field of Study preferred Can this role accept experience in lieu of a degree? Yes Experience Experience working in data science-type positions and with large data sets 2-3 years preferred Knowledge, Skills and Abilities - Ability to create reports and dashboards with Tableau. - Skilled in data analysis with Python and SQL. - Knowledge of statistics. - Knowledge of machine learning. - Preferred SQL database management and administrative knowledge. - Practiced knowledge of numerical optimization algorithms. Additional Job Details (if applicable) Remote Type Remote Work Location 265 Charles Street Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) Pay Range $75,275.20 - $109,553.60/Annual Grade 6 At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package. EEO Statement: 1200 The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

• Build, update, and maintain reservoir simulation and analytical models to support forecasting, development planning, and optimization • Apply data science and machine learning techniques to reservoir characterization, production forecasting, and anomaly detection • Support history matching, sensitivity analyses, and scenario evaluations • Develop and maintain Python-based workflows, scripts, and tools to automate subsurface analyses and improve data quality • Integrate geological, petrophysical, stimulation, and operational data into reservoir studies in collaboration with cross-functional teams • Clearly communicate technical results through visualizations, presentations, and written reports • Stay current with emerging tools and best practices in reservoir engineering, analytics, and AI

Role Description The Data Modernization Senior Advisor will serve as a subject matter expert, guiding public health agencies through the development and delivery of technical projects that improve the use of public health data to inform decision making. This role is aligned to the Workforce Acceleration Initiative (WAI), a federally funded CDC Foundation program aimed at helping the nation’s public health agencies. The advisor will support GPTEC’s ongoing development and expansion of Winter Count, a tribally owned cloud-based public health data ecosystem. This role will guide the strategic evolution of the Winter Count ecosystem through: - Expanded data integrations - Enhanced analytics capabilities - Improvements to system usability - Strengthened governance structures that support Tribal data sovereignty The Data Modernization Senior Advisor will develop and implement the organization’s strategy for effective use of data and information through improvements in: - Information systems - Policy - Workforce - Work processes This position will strategically direct the organization’s data modernization effort, identifying and addressing needs, gaps, and opportunities in the organization’s data ecosystem. This position is eligible for a fully remote work arrangement for U.S. based candidates. Responsibilities - Collaborate with GPTEC leadership and Tribal Public Health Authorities to assess data needs and identify opportunities to strengthen the Winter Count data ecosystem. - Lead the development and implementation of GPTEC’s long-term data modernization strategy. - Provide strategic guidance on the continued development and expansion of the Winter Count data hub. - Support the enhancement and deployment of the Electronic Disease Surveillance System (EDSS). - Advise on the integration of Tribal, state, federal, and programmatic data sources. - Guide the development and implementation of data governance structures and policies. - Lead efforts to modernize GPTEC’s data infrastructure. - Assess and modernize GPTEC’s data visualization and analytics environment. - Conduct organizational data and system assessments. - Support Tribal needs assessments and stakeholder engagement. - Provide strategic guidance on change management and workforce readiness. - Support development of training resources and technical documentation. - Advise GPTEC leadership on sustainability planning. - Facilitate coordination among GPTEC leadership, WAI placements, and partner organizations. - Participate in project meetings, milestone reviews, and reporting activities. - Perform other related duties as assigned. - Up to 10% domestic travel may be required. Qualifications - Bachelor's degree in public health, computer information systems, health informatics, epidemiology or related field; Master’s degree preferred. - Minimum of 10 years of relevant professional experience in epidemiology, informatics, data science, or information systems development. - Minimum of 5 years of experience leading or collaborating on technical data strategies. - Demonstrated experience supporting the development or implementation of public health data ecosystems. - Knowledge of modern data architectures, including cloud-based infrastructure. - Experience working with public health agencies or Tribal organizations. - Understanding of data governance and policies supporting responsible data sharing. - Familiarity with national public health data modernization efforts. - Understanding of information systems development and data life cycles. - Strong project management skills and ability to meet deadlines. - Ability to engage with a broad range of stakeholders. - Strong written and verbal communication skills. - Superior organizational skills and attention to detail. - Excellent interpersonal skills and ability to represent the organization. - Creativity and problem-solving skills. Job Highlights - Location: Remote, must be based in the United States. - Salary Range: $135,000 - $166,050, per year, plus benefits. - Position Type: Grant funded, limited-term opportunity. - Position End Date: June 30, 2027. Special Notes This role is involved in a dynamic public health program. As such, roles and responsibilities are subject to change as situations evolve. All qualified applicants will receive consideration for employment without discrimination.