About WriteWise
Pharmacy costs are one of the hardest things for employers and plans to predict. We’re fixing that. WriteWise runs the industry’s only Guaranteed Cost Platform, so organizations can lock in their future pharmacy spend instead of absorbing whatever drug mix and utilization throw at them.
We work with MEC and MVP plans, fully insured conversions, ASO carve-outs, high-renewal groups, and captives. At the center of it all is MavRx, our underwriting and governance platform. It lets us offer lowest-net-cost PMPM guarantees and validate and reconcile them against PBM performance. Our goal is to put real precision in the hands of the people making pharmacy decisions, and to hold PBMs accountable along the way.
The Role
We’re hiring a Machine Learning Engineer (full-time, fully remote) to build the models behind MavRx. Your work will directly shape how accurately we predict cost and risk, and that accuracy is what makes our guarantees possible.
Day to day, you’ll:
Build and train models for risk prediction, cost forecasting, and pattern recognition
Own the full lifecycle: preprocessing, feature engineering, training, deployment, and monitoring
Work with our engineers to get models into production, and keep them reliable as drug markets and utilization shift
Partner with product, data, and actuarial teams to turn business problems into ML solutions
Help power our PBM validation and audit tools
Explain what you’ve found in plain language to people who aren’t technical
What We’re Looking For A strong grounding in computer science, algorithms, and statistics
Hands-on experience with Python AI frameworks, and good engineering habits (version control, testing, CI/CD)
Experience working with large, messy datasets and shipping models to production
You’re comfortable working across teams and can explain your work to anyone
A degree in CS, data science, math, engineering, or a related field, or equivalent hands-on experience
Bonus: experience with cloud platforms (AWS, GCP, or Azure), containers, and data pipelines
Bonus2: experience with healthcare data / prescription drugs data