Ripple Effect is seeking a Health Data Science Manager to leverage data to drive insights and improve program outcomes for clients' missions at NIH and other science- and health-based agencies
Requirements
- Experience developing data-driven insights and visualizations that clearly convey complex concepts and conclusions
- 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
- Experience with bibliometrics or portfolio analysis
- Certifications and demonstrated coursework in data science techniques
Responsibilities
- Lead and manage data science, modeling, and AI projects, ensuring technical soundness and relevance, in support of government contracts
- 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
- Develop coding frameworks using NVivo, R, or other coding platforms
- Extract and transform raw health data from multiple sources into meaningful and actionable insights
- Develop client reports using aggregated data
- Collaborate with stakeholders and clients to define data science needs and project objectives
Other
- 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
- Excellent organizational skills, attention to detail, and effective communication skills
- Ability to pay attention to details, clearly communicate, work independently, and have an eagerness to learn
- Supervisory experience
