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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** GuideHealth - **Location:** Worcester, MA, United States (Remote available) - **Experience:** Experienced - **Salary:** $105,000.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Data Analysis, Microsoft Azure, Bash Shell, Health Informatics, Clinical Data Repository, Computer Programming, Databases, Data Integration, Extract Transform Load (ETL), Data Normalization, Data Security, Data Visualization, Github, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Operational Databases, Software Engineering, SQL Databases, File Transfer Protocol (FTP), Cloud Platform System, Model Validation, Git, Documentation System, Information Technology, Atlassian Tools, Production Code, Data Analytics, Software Version Control, Data Pipelines - **Published:** August 14, 2026 - **Apply:** https://www.wayup.com/i-j-Data-Scientist-Guidehealth-282348249738304/ ## About the Role + Bachelor's degree in a quantitative or technical field such as Data Science, Statistics, Biostatistics, Epidemiology, Health Informatics, Computer Science, or equivalent experience. + 2+ years of experience applying data science, statistics, or advanced analytics to healthcare data (clinical, claims, or EHR) in a research, clinical, or business setting. + Working knowledge of clinical workflows and terminology, including familiarity with clinical vocabularies and coding systems (e.g., CPT, ICD-10-CM, SNOMED CT, RxNorm, LOINC, NPI). + Understanding of healthcare operations such as care management, risk adjustment, quality improvement, revenue cycle, prior authorization, and value-based care. + Proficiency in SQL and Python for data querying, analysis, and pipeline development, with working knowledge of Bash for script execution. + Solid grounding in applied statistics, including hypothesis testing, regression, model evaluation, and causal inference concepts. + Experience with data integration and ETL work, including data normalization and processing, SFTP, and API connections. + Experience using Git-based source control (e.g., GitHub) throughout a software development lifecycle for production code. + Experience with data QA and validation processes. + Familiarity with at least one major cloud platform (AWS, GCP, or Azure). + Strong communication and presentation skills for interfacing with both clinical and technical audiences., + Advanced degree (MS or PhD) in Biostatistics, Epidemiology, Health Informatics, Data Science, or a related field, or clinical licensure combined with formal data science training. + 2+ years of experience in a clinical care, clinical informatics, or CDI setting or degree, licensure, or certification in nursing, pharmacy, medicine, public health, or a related clinical field + Experience with AWS services such as S3, Lambda, and Step Functions. + Familiarity with the Arcadia Analytics Foundry database. + Proficiency with cross-team project tracking and documentation tools such as Jira and Confluence. ## Description Guidehealth's Data Science team plays a pivotal role in supporting Value-Based Care performance and operations through data analytics and informatics. The Data Scientist develops and communicates analyses of ongoing operations to advance Clinical, Quality, and Coding and Documentation Improvement (CDI) performance goals. This role sits at the intersection of clinical intelligence and quantitative analysis. The ideal candidate combines hands-on clinical data experience with strong statistical, programming, and machine learning skills , and translates fluently between clinical and technical stakeholders. Candidates must demonstrate depth on both sides: an understanding of how care is delivered, documented, and coded, and the technical ability to turn complex healthcare data into rigorous, actionable analyses. Responsibilities + Partner with Clinical, Quality, and CDI teams to understand operational goals and business objectives, and identify where data science can support them. + Perform statistical and machine learning analyses of clinical, claims, and other healthcare data, employing causal inference, predictive modeling, risk stratification, time-series analysis, and data visualization. + Apply clinical intelligence and relevant literature throughout the analytic process, validating that cohort definitions, code sets, and model features accurately reflect real-world clinical practice and documentation patterns. + Develop and maintain SQL and Python code for replicable analyses and production data pipelines. + Communicate analytic results to technical and non-technical stakeholders through clear visualizations, presentations, and written summaries. + Perform data QA and validation activities, including scripted and manual checks for data format, completeness, and accuracy., Diversity, inclusion, and belonging are at the core of Guidehealth's values. We are an equal opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation and identity, national origin, citizenship, religion, marital status, familial status, physical, sensory, or medical disability, Family and Medical Leave, military or veteran status, pregnancy, childbirth or other related medical conditions, or any other classification protected by federal, state, and local laws and ordinances. Our management is fully dedicated to ensuring the fulfillment of this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment. OUR COMITTMENT TO PROTECTION OF PATIENT AND COMPANY DATA This position is responsible for following all Security policies and procedures in order to protect all PHI and PII under Guidehealth's custodianship as well as Guidehealth Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager. As a remote-first organization handling sensitive healthcare data, Guidehealth verifies candidate identity at multiple stages of the hiring and onboarding to safeguard patient privacy, data security, and compliance requirements. REMOTE WORK TECHNICAL REQUIREMENTS Guidehealth is a fully remote company. We provide new employees with the necessary equipment to function in their role at no charge to the employee. Employees provide their own internet connection, capable of conducting video calls on camera and connecting to various internal and external systems. The required internet speed is a minimum of 100 mbps download, 10 mbps upload. Please run a speed test here to confirm your internet connection meets these requirements. SECONDARY EMPLOYMENT At Guidehealth, we value transparency and collaboration as part of our commitment to excellence. As your primary employer, we kindly ask all team members to disclose any secondary employment, regardless of whether it may present a potential conflict of interest. To ensure smooth teamwork and availability, employees must be accessible during our stated working hours. 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