ARE YOU PASSIONATE ABOUT LEVERAGING DATA TO DRIVE INSIGHTS AND IMPROVE PROGRAM OUTCOMES? DO YOU HAVE STRONG MANAGEMENT SKILLS THAT MOTIVATE AND LEAD TEAMS?

Ripple Effect is seeking a full-time Health Data Science Manager to take a leading role in our data-driven projects. This role involves overseeing the execution of data science and artificial intelligence (AI) techniques to support our clients’ missions at NIH and other science- and health-based agencies. The ideal candidate will have a solid foundation in data science and AI experience in social or clinical science or related fields. You will thrive in a collaborative environment, where innovative thinking and problem-solving are encouraged.
If you are looking for a place where your skills can truly make an impact, Ripple Effect is the right fit for you! We are a diverse and inclusive workplace that values creativity and offers flexible work arrangements to support your work-life balance.

MINIMUM EDUCATION AND EXPERIENCE

• Bachelor’s degree in data science, statistics, or other relevant field
• 10 years relevant work experience, including at least 4 years of those years in a social or biomedical science related field

BASIC REQUIREMENTS

• Experience developing data-driven insights and visualizations that clearly convey complex concepts and conclusions.
• Experience leading biomedical research or public health data science projects for the federal government
• Strong understanding and proven experience with AI, statistical and machine learning techniques, and other emerging technologies to enhance analytical conclusions.
• Proven experience as a Senior Data Scientist, with a focus on data analysis, modeling, evaluation, and visualization and technical experience with qualitative or quantitative software packages.
• Proficient in coding languages such as Python or R, data manipulation tools like SQL, and cloud platforms like Azure.
• Advanced skills with Microsoft Excel, PowerPoint, Word and Outlook.
• Excellent organizational skills, attention to detail, and effective communication skills.
  To be successful at Ripple Effect, you must be able to pay attention to details, clearly communicate, work independently, and have an eagerness to learn. Learn more about what it takes to become a Rippler here.

SKILLS THAT SET YOU APART

• Masters or doctoral degree in relevant field
• Supervisory experience
• Established networks in government contracting that can be leveraged
• Experience with bibliometrics or portfolio analysis
• Certifications and demonstrated coursework in data science techniques
• Project Management Professional (PMP) or other management certifications
  If you don’t have all of the skills above, don’t be discouraged—no resume paints a complete picture of a person. There’s a good chance you’re more wonderful than you think, so please apply!

• Data Science & AI Leadership: Lead and manage data science, modeling, and AI projects, ensuring technical soundness and relevance, in support of government contracts. Develop detailed project plans to track progress and manage changes in project scope, schedule and costs related to process, outcome, and impact evaluation studies. Supervise and mentor cross-disciplinary teams of data scientists and evaluation specialists. Enhance team operations through the development and implementation of streamlined processes.
• Data Analysis & AI: Provide technical advice on methodology approaches to accomplish project objectives (e.g., research design, analytical techniques, sampling methods). Design and implement advanced statistical models and machine learning algorithms to solve business problems, evaluate program performance, and generate insights from large and complex data sets to improve methodologies. Develop coding frameworks using NVivo, R, or other coding platforms. Stay informed of industry trends and best practices in data science and modeling, deploying AI tools such as machine learning, natural language processing, and large language models to develop new solutions.
• Data Management: Extract and transform raw health data from multiple sources into meaningful and actionable insights. Aggregate coded comment data to surface themes and insights. Ensure data quality and integrity by implementing robust data validation, cleaning processes, and best practices for data management.
• Reporting: Develop client reports using aggregated data. Track and process progress reports using an electronic database. Review documents for accuracy and collaborating with team members to resolve any discrepancies. Present findings and recommendations to key decision-makers in a clear and concise manner.
• Training & Documentation: Develop training materials and co-lead training events. Develop and revise SoPs and other related process documentation.
• Collaborate with stakeholders and clients to define data science needs and project objectives.
• Contribute to proposal writing and technical solutioning for new projects.
• Perform other job-related duties as assigned.