This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers a unique opportunity to directly impact the integrity and efficiency of the nation’s Medicaid program by designing and implementing advanced data solutions. As a Senior Data Scientist, you will work on high-profile projects transforming manual data processes into automated, cloud-based solutions that serve millions of beneficiaries. You will collaborate with government stakeholders, data engineers, and analysts to ensure timely, accurate, and secure data delivery. This fully remote role emphasizes collaboration, technical excellence, and meaningful social impact. - Design, write, and optimize complex SQL queries to extract, manipulate, and transform large Medicaid datasets. - Translate policy requirements and business rules into efficient, testable data pipelines and transformations. - Develop and implement data quality assurance mechanisms to ensure the accuracy and integrity of sensitive PHI data. - Collaborate with data engineers to build, test, and deploy automated data pipelines within cloud-based platforms. - Work with business analysts and stakeholders to document, refine, and meet project data requirements. - Generate reporting and analytical outputs that provide insights for program management and decision-making. - Ensure compliance with government data standards, security protocols, and privacy regulations throughout the project lifecycle. Qualifications - Minimum of 6 years of experience as a data scientist or in a similar data-focused role. - Expert-level proficiency in SQL and strong programming skills in Python. - Hands-on experience with data pipelines, ETL processes, and modern cloud-based data platforms. - Ability to translate complex policy requirements into accurate and efficient data transformations. - Experience with data validation, integrity checks, and managing sensitive healthcare datasets. - Prior exposure to healthcare, CMS, or state Medicaid data is a strong plus. - Strong analytical and problem-solving skills, with attention to detail and quality. - U.S. citizenship required; must perform all work within the United States and able to pass a public trust background check. Benefits - Competitive annual salary range: $120,000 – $140,000 - 100% employer-paid Gold-tier health insurance coverage - Generous profit-sharing opportunities - Fully remote work with flexible scheduling - Work-life balance focused culture - Collaborative and mission-driven team environment - Professional growth and exposure to high-impact government projects

• Work within and learn existing models and codebase • Explore and visualize multivariate RGA datasets • Critically evaluate model performance and potential improvements • Prototype and test algorithmic improvements • Present findings and results to the team

• Collaborate with client teams to design and implement generative AI solutions. • Establish and promote best practices within the community. • Evaluate and select appropriate AI tools and machine learning models for specific projects.

• Create and/or review study-specific electronic or paper Case Report Forms (CRFs) using prior knowledge, protocol-specific information, and departmental standards. • Work efficiently to incorporate core clinical team input and produce CRFs in a timely manner. • Configure, migrate, and test electronic data capture (EDC) databases based on internal procedures, study requirements, and system best practices. • Serve as a database manager for the study-specific clinical team, including the compilation of edit checks. • Develop database requirements for use by EDC vendors. • Serve as a study database manager and work with vendors to obtain deliverables in a timely manner. • Create and/or review study-specific data management and database documentation, which may include: Data Management Plan CRF Completion Guidelines Coding Guidelines Annotated CRFs Edit Check Specifications. • Attend study-specific team meetings and produce status reports and requested metrics, which may include query information or data trends. • Perform data review and query generation/closure. • Perform coding of verbatim terms such as adverse events and concomitant medications. • Collaborate with medical scientists for coding, consistency, review, and approval. • Incorporating coding files into the clinical database. • Participate in the development of new processes or revision of existing processes. • Train internal colleagues in clinical data management in either informal or formal settings as needed. • Train Investigators and/or Study Coordinators at Investigator Meeting on the CRFs, the EDC system, and the CRF completion guidelines as needed. • Provide data management expertise and support to the clinical teams using data management best practices. • Provide analytical insight into data management strategies and advise the internal team with tactical strategies accordingly. • As necessary, provide work direction, guidance, mentoring, influence, and support to junior staff. • Train junior staff in more complex clinical data management processes. • Adhere to Standard Operating Procedures (SOPs), process improvements, and standardization of templates. • Perform ad-hoc and cross-functional projects assigned to support business needs and provide developmental opportunities.