Lead Machine Learning Engineer
OpenTeamsSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Health-Tech, Pharmacy Benefit ManagementIndustries
Requirements
Candidates must have at least 5 years of experience in data science, machine learning/AI development, with proven success leading impactful initiatives. An MS or PhD in a quantitative field is required, along with in-depth knowledge of common machine learning algorithms and techniques. Applicants must be based in Arizona, Arkansas, California, Colorado, Florida, Georgia, Kansas, Minnesota, Missouri, Nevada, New Jersey, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, or Wisconsin.
Responsibilities
The Senior Machine Learning Engineer will design and implement end-to-end ML solutions for domains such as anomaly detection, claims optimization, and eligibility validation. They will collaborate with engineering teams to productionize ML models, identify and prototype use cases for Generative AI, and contribute to building scalable ML infrastructure. This role involves acting as a thought partner on emerging ML/AI capabilities and evaluating their applicability to PBM challenges.
Skills
Machine Learning
AI
Data Science
Python
SQL
Cloud Platforms
Statistical Modeling
Data Analysis
Problem Solving
Communication
SmithRx
Pharmacy benefit management with transparent pricing
About SmithRx
SmithRx operates as a Pharmacy Benefit Manager (PBM) that focuses on managing prescription drug plans for self-insured employers and plan sponsors. The company uses a transparent pricing model called "Pass Through Pricing," where it charges only an administrative fee and passes all rebates from prescriptions directly to clients and their members. This model contrasts with traditional PBMs that often inflate drug prices and retain rebates for profit. SmithRx's clients benefit from a technology platform that utilizes real-time data to improve service delivery, ensuring efficient and high-quality pharmacy benefit management. The company also provides a concierge service to enhance support for both members and clients. SmithRx aims to simplify pharmacy benefits while maximizing value for its clients through transparency, advanced technology, and exceptional customer service.
San Francisco, CaliforniaHeadquarters
2016Year Founded
$94.8MTotal Funding
SERIES_CCompany Stage
HealthcareIndustries
201-500Employees
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Health Savings Account/Flexible Spending Account
Unlimited Paid Time Off
Paid Holidays
Wellness Program
Commuter Benefits
Parental Leave
Mental Health Support
Professional Development Budget
Risks
Increased competition from technology-driven PBMs like Capital Rx could erode market share.
Rapid technological advancements may require costly updates to SmithRx's platform.
Potential regulatory scrutiny on PBM pricing models could impact SmithRx's business model.
Differentiation
SmithRx uses a transparent 'Pass Through Pricing' model, unlike traditional PBMs.
The company leverages real-time data for efficient pharmacy benefit management services.
SmithRx offers concierge-level service, enhancing customer satisfaction and support.
Upsides
SmithRx secured $60M in Series C funding, indicating strong investor confidence.
Partnership with Banjo Health enhances prior authorization processes using AI technology.
Collaboration with TheracosBio offers cost-effective drug options for Type 2 Diabetes.
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