Apply on Employer Site

1Phi Inc · 7 hours ago

Data Scientist/Engineer (for Health Tech Startup)🤓

United States

Full-time

Remote

Mid, Senior Level

$95K/yr - $130K/yr

2+ years exp

1Phi Inc is a health tech startup developing an AI-powered healthcare navigator called 1Sage. The role involves building complex data pipelines, defining predictive models, and leveraging medical claims data to enhance patient insights and treatment options.

Hospital & Health Care

H1B Sponsored

Responsibilities

Build complex data pipelines, transformations and statistical processing using Python, SQL, Databricks, and a suite of cloud services from AWS and GCP

Ingest, transform, clean and augment internal and external data assets

Automate data pipelines to process patient-level and aggregated public health data

Define predictive models and machine learning applications that run on medical claims data to enable patient-facing applications

Perform exploratory analytics and develop specifications that enable patients to learn which treatment options and providers might be the most relevant to their specific situation

Leverage medical claims data for patient cohort design, risk adjustment, treatment pathway definition, survival analysis, and outcomes modeling

Continuously learn by investigating new technologies and building quick proof of concepts

Qualification

PythonSQLMachine LearningData PipelinesCloud ServicesData EngineeringHealthcare Claims DataStatisticsExploratory Data AnalysisSoft Skills

Required

Track record of accomplishments in data science and statistics, with at least one major successful implementation you can discuss

Proficiency with Python and its data science ecosystem, statistics concepts, ML techniques, EDA (exploratory data analysis)

Experience implementing logistic regression, propensity scoring, random forests, gradient boosting, and clustering

Solid understanding of data pipelines, processing parallelization, and ETL concepts

Experience with hands on SQL, writing complex data transformation queries and optimizing for performance on large scale data

Experience with cloud services providers (AWS, GCP or Azure) and specific services (such as AWS S3, RDS, Redshift, EMR, and Lambda)

Preferred

2+ years working with healthcare claims data (especially Medicare, Medicaid, and prescriptions), statistics and ML

Mastery over claims data interpretation and analysis, including cohort design, risk adjustment, treatment pathway definition, survival analysis, outcomes modeling

Familiar with healthcare standards and coding (ICD, CPT, DRG, NDC)