Data Scientist

This is a fully remote position, open to applicants in Massachusetts.

📋 Description

• Collaborate with Clinical, Quality, and CDI teams to comprehend operational objectives and pinpoint areas where data science can provide support.

• Conduct statistical and machine learning analyses on clinical, claims, and various healthcare datasets.

• Implement causal inference, predictive modeling, risk stratification, time-series analysis, and data visualization techniques.

• Utilize clinical intelligence and pertinent literature to confirm cohort definitions, coding sets, and model features.

• Create and sustain SQL and Python code for reproducible analyses and production data pipelines.

• Present analytic findings through visual representations, presentations, and written summaries.

• Execute scripted and manual data quality assurance and validation checks for format, completeness, and accuracy.

⛳️ Requirements

• A Bachelor's degree in a quantitative or technical discipline such as Data Science, Statistics, Biostatistics, Epidemiology, Health Informatics, Computer Science, or equivalent experience.

• Over 2 years of experience in applying data science, statistics, or advanced analytics to healthcare datasets.

• Proficient understanding of clinical workflows and terminology.

• Familiarity with clinical vocabularies and coding systems, including CPT, ICD-10-CM, SNOMED CT, RxNorm, LOINC, and NPI.

• Knowledge of healthcare operations, including care management, risk adjustment, quality improvement, revenue cycle, prior authorization, and value-based care.

• Expertise in SQL and Python.

• Basic understanding of Bash.

• Knowledge of applied statistics, including hypothesis testing, regression analysis, model evaluation, and causal inference.

• Experience with data integration and ETL processes, data normalization, SFTP, and API connections.

• Proficient in using Git-based source control tools like GitHub throughout the software development lifecycle.

• Familiarity with data quality assurance and validation processes.

• Exposure to AWS, GCP, or Azure platforms.

• Strong communication and presentation skills suitable for both clinical and technical audiences.

• Preferred: advanced degree or clinical licensure combined with formal data science education.

• Preferred: 2+ years of experience in a clinical care, clinical informatics, or CDI environment, or a degree, licensure, or certification in a related clinical field.

• Preferred: Experience with AWS services like S3, Lambda, and Step Functions.

• Preferred: Familiarity with Arcadia Analytics Foundry database.

• Preferred: Knowledge of Jira and Confluence.

🏝️ Benefits

• Fully remote work with flexible arrangements.

• Comprehensive Medical, Dental, and Vision insurance plans.

• 401(k) plan featuring a 3% employer match to the employee's 6% contribution.

• Life and Disability insurance coverage.

• Options for Voluntary Life insurance.

• Access to an Employee Assistance Program (EAP).

• Paid time-off plans.

• Paid parental leave.

• Resources for learning and development.

• Provision of necessary work equipment at no cost.

• Eligibility for a comprehensive benefits package for full-time employees working 30 hours per week or more.