Job description

About the role: We are looking for an experienced engineer to join our mission driven team to help develop our data platform that integrates and transforms multiple imperfect and messy data sources into clean, usable data so that we can learn from every cancer patient. As a main contributor on our Platform and Integrations team, you will play a vital role in developing and operating our core data platform and helping scale it to serve additional hospitals. We are a small team trying to tackle a very large problem, so we need teammates that are ultimately accountable to themselves and continuously push themselves, the product and the organization forward. What you will be doing: • 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 About you: • 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) Bonuses : • Experience with healthcare data standards and integration is a huge plus (HL7, FHIR, DICOM, etc.) • Experience designing data models for analytical and transactional workloads Compensation, Benefits, and Perks: • Salary: $80-120k plus equity compensation • 401k, health and dental insurance, flexible vacation policy, paid parental leave • eBooks, online courses, workstation setup • Events: happy hours, team dinners, conversations with oncologists (will return soon!) • You get to work with smart, passionate people on a product that will have a direct impact on the quality of life for cancer patients What to expect in the hiring process: • Introductory phone call with the Head of Operations (30 minutes zoom call) • Phone interview with VP of Engineering (60 min zoom call) • Virtual onsite, including a pair programming session, engineering team meet, and co-founder meet (90-120 minute zoom call) • Final stages, potential follow-up interviews, and offer discussions

Requirements

Must-haves

As a main contributor on our Platform and Integrations team, you will play a vital role in developing and operating our core data platform and helping scale it to serve additional hospitals.
We are a small team trying to tackle a very large problem, so we need teammates that are ultimately accountable to themselves and continuously push themselves, the product and the organization forward.
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
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
Salary: $80-120k plus equity compensation
eBooks, online courses, workstation setup
Events: happy hours, team dinners, conversations with oncologists (will return soon!)
You get to work with smart, passionate people on a product that will have a direct impact on the quality of life for cancer patients

Nice-to-haves

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Keywords to mirror

machine learningpythonpostgresdockerkubernetes

Platform: smartrecruiters
Effort: medium

Benefits

Benefits detected in the listing.

Dental

401k

Parental Leave