Software Engineer – Platform

Job not on LinkedIn

🕒 April 1

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $80k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 47%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Oncora Medical

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

⚕️ Healthcare Insurance

☁️ SaaS

💰 $3M Corporate Round on 2019-09

Healthcare • Healthcare Insurance • SaaS

Oncora Medical is a healthtech company focused on providing advanced software solutions to improve the workflow and efficacy of oncology care. The company offers an integrated platform that simplifies data management for oncologists by allowing data review, data entry, and research through a single interface. Products like Oncora Patient Care and Oncora Analytics use real-world data analytics and machine learning to optimize treatment decision-making and reduce clinician burnout. Oncora's solutions are compatible with major EHR systems and cancer registries, streamlining documentation and enhancing personalized cancer care. The company is dedicated to supporting oncologists in delivering better patient outcomes by offering robust analytical tools and quality data capture systems.

📋 Description

• Developing pipelines to integrate new data elements into our normalized oncology schema • Overseeing and monitoring our existing data infrastructure for stability, performance and accuracy • Improving our data warehousing and reporting capabilities to support real-time analysis of tens of thousands of patients representing millions of data points • Integrating standard and proprietary ontologies into our data enrichment processes • Enhancing our de-identification capabilities to support machine learning and clinical research use-cases • Building reusable integrations with major clinical systems (e.g. EMR/EHRs) • Deploying updates frequently to immediately improve the state of cancer care • Providing constructive feedback to your team members through code and architecture reviews

🎯 Requirements

• A solid base of software engineering experience, typically 1-5 years, with at least part of that time in data-focused roles or projects • Fluency with a functional or imperative language (we use Python) • Experience working with relational and non-relational databases (we use Postgres, MongoDB, Redis, and ElasticSearch) • Tendency to seek simple, elegant solutions to complex problems • Ability to analyze and optimize existing solutions • A focus on writing understandable, testable, and maintainable code • Experience working with asynchronous and distributed systems (we use RabbitMQ) • Familiarity with modern containerized environments (we use Docker & Kubernetes) • Experience with healthcare data standards and integration is a huge plus (HL7, FHIR, DICOM, etc.) • Experience designing data models for analytical and transactional workloads

🏖️ Benefits

• 401k, health and dental insurance • flexible vacation policy • paid parental leave • eBooks, online courses • workstation setup • happy hours • team dinners • conversations with oncologists (will return soon!)