Senior BackEnd Engineer (Python)
QuantHealth (QH) is an AI startup in the clinical trial space, leveraging AI and big data to simulate and optimize trials for pharmaceutical companies. Our ability to combine large biomedical datasets with vast amounts of patient data allows our customers to simulate their clinical trials in a SaaS environment to make them smarter and more efficient.
Our clinical trials simulator combines medical domain expertise, machine learning, and statistical validation to simulate trials and predict their outcomes. Our SaaS application ingests and visualizes these models and predictions, enabling clinical trial design teams to forecast the success of their prospective trials before they begin.
We are seeking Senior Backend Engineers to build the interface between the two: a service which provides clinical analytics, model training, prediction and LLM workflows.
Key Responsibilities:
- Develop, maintain, optimize and harden a FastAPI microservice with diverse workloads
- Closely collaborate with other technical teams, working with
- Full Stack Engineering to define calibrated endpoint signatures and call sequence patterns
- Data Science to establish an ML model-object management & prediction interface and implement estimators, sampling methods and other clinically-relevant statistical analyses
- Author long-running PySpark jobs which run on dynamically-provisioned clusters to ETL and predict on billions of records
- Write optimized analytical SQL queries for our real-time distributed data warehouse
- Fine-tune the service’s deployment configuration for enhanced performance
- Design and implement a robust CICD pipeline for a single-tenant architecture, serving dozens of enterprise customers
- Manage the service’s infrastructure with Infrastructure-as-Code
- Configure observability and monitoring
- Author thorough unit, integration and performance testing suites
- Serve as a technical lead and advocate for the service in architectural discussions and company-wide technical decision-making
Requirements:
- At least 6 years of experience of backend development experience, SQL and API development
- At least 2 year of experience with each of the following: Python, Python microservice frameworks, dataframe-based frameworks (pandas/PySpark), CICD development, container orchestration platforms (EKS/ECS/podman/etc.), IaC (Terraform/CloudFormation/etc.)
- Excellent written and verbal communication skills
- Ability to work independently and as part of a team
Advantage:
- Experience with Databricks, PySpark, Spark, AWS EMR and the like
- ML Ops experience: model-object management, batch inference, feature engineering & preprocessing, ML Flow and similar frameworks
- Experience optimizing containerized python microservices:
- Container orchestration: resource sizing, autoscaling policies, liveliness probes, networking, etc.
- ASGI Server: process/thread counts, pooling, event loop & async performance, etc.
- Familiarity with the complexities of managing single-tenant environments
- SRE experience: alert configuration, runbook creation and maintenance, incident response and escalation, etc.
