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Health Data Science Manager

ZipRecruiter, Rockville, Maryland, us, 20849

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Overview

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 lead data-driven projects, overseeing the execution of data science and AI techniques to support clients in health and science agencies. The ideal candidate will have a solid foundation in data science and AI experience in social or clinical science or related fields, thriving in a collaborative, innovative environment. If you are looking for a place where your skills can make an impact, Ripple Effect is the right fit. We are a diverse and inclusive workplace that values creativity and offers flexible work arrangements to support work-life balance. General Information

Job Code: SHR-DM-04/05M Location: Ripple Effect Headquarters – Rockville, MD Employee Type: Exempt, Full-Time Regular (Ask our recruiters about flexible work arrangements) Telework: Hybrid Clearance: Public Trust Manager: Yes Number of Openings: 1 Salary Range: $105,166.40 - $131,458.00 per year Responsibilities

Data Science & AI Leadership: Lead and manage data science, modeling, and AI projects in support of government contracts. Develop detailed project plans to track progress and manage changes in scope, schedule, and costs related to process, outcome, and impact evaluation studies. Supervise and mentor cross-disciplinary teams of data scientists and evaluation specialists. Improve team operations through streamlined processes. Data Analysis & AI: Provide technical advice on methodology 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 platforms. Stay informed of industry trends and best practices in data science and modeling, deploying AI tools to develop new solutions. Data Management: Extract and transform raw health data from multiple sources into actionable insights. Aggregate coded comment data to surface themes. Ensure data quality and integrity with robust validation and cleaning practices. Reporting: Develop client reports using aggregated data. Track and process progress reports using an electronic database. Review documents with team members to resolve discrepancies. Present findings and recommendations to key decision-makers clearly. Training & Documentation: Develop training materials and co-lead training events. Develop and revise standard operating procedures and 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. Requirements

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 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 focus on data analysis, modeling, evaluation, and visualization; technical experience with qualitative or quantitative software packages Proficient in Python or R, 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 pay attention to details, communicate clearly, work independently, and be eager to learn. Learn more about what it takes to become a Rippler here. Skills That Set You Apart

Masters or doctoral degree in a relevant field Supervisory experience Established networks in government contracting 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—there’s a good chance you’re more wonderful than you think, so please apply! About Ripple Effect

Ripple Effect is an award-winning women-owned small business providing professional consulting and talent for federal, private, and non-profit clients. We deliver multi-disciplinary solutions across Communications & Outreach, Research & Evaluation, Program Management & Policy, Digital Transformation, and Technical & Scientific Support with a focus on science, research, and healthcare domains. Hiring Process | Life at Ripple Benefits

Ripple Effect offers competitive pay, exceptional benefits, and a range of work/life programs based on employment classification and preferences. Equal Opportunity Ripple Effect is an equal opportunity workplace and affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, national origin, citizenship, marital status, or veteran status. We also consider qualified applicants regardless of criminal history, consistent with legal requirements. If you have a special need that requires accommodation during the hiring process, please contact our HR department at HR@rippleeffect.com or your recruiter. Eligibility for employment will be verified using E-Verify.

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