软件工程师（全栈）
Software Engineer (Full Stack)
职位描述：
我们正在寻找一位经验丰富的工程师加入我们的使命驱动型团队，帮助开发我们的数据平台，将多个不完美且混乱的数据源整合并转化为干净、可用的数据，以便我们从每一位癌症患者身上学习。
作为平台与集成团队的主要贡献者，你将在开发和运营我们的核心数据平台方面发挥关键作用，并帮助其扩展以服务更多医院。
我们是一个小团队，致力于解决一个非常大的问题，因此我们需要那些最终对自己负责、不断推动自己、产品和组织前进的队友。
你将从事的工作：
- 深入理解肿瘤学数据和临床工作流程，更好地成为我们用户的倡导者
- 与产品和工程领导合作，构建高性能、用户友好的网络应用
- 在我们扩展产品套件以满足各种临床使用场景时，改进前端架构
- 为我们的GraphQL和REST API添加新功能，以支持新产品特性
- 在API层中实现指标收集、监控和警报
- 将我们数据采集工具生成的数据集成到我们的数据平台和描述性分析产品中
- 向同事提供（设计和代码方面的）反馈
我们希望你具备：
- 在现代单页应用环境中，通常1-5年的软件工程经验
- 熟练掌握JavaScript/TypeScript生态系统、现代前端框架和构建工具（我们使用React、TypeScript、Webpack）
- 扎实的编程基础、算法和软件应用设计能力
- 倾向于寻找复杂问题的简单、优雅解决方案
- 能够分析和优化现有解决方案
- 熟悉各种数据库技术，包括关系型、文档型、键值型、列式等（我们使用Postgres、Redis、MongoDB）
- 具有云计算提供商的经验（我们使用AWS）
- 熟悉现代容器化环境（我们使用Docker和Kubernetes）
加分项：
- 具有医疗数据标准和集成经验（如HL7、FHIR、DICOM等）
- 具有从零开始到发布完整产品的端到端经验
- 具有数据可视化技术和库的经验
薪酬、福利和待遇：
- 薪资：8万至12万美元，加上股权补偿
- 401k计划、健康和牙科保险、灵活的休假政策、育儿假等
查看英文原文
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:
- Gaining a deep understanding of oncology data and clinical workflows to be a better champion for our users
- Working with product and engineering leadership to build a performant, user-friendly web application
- Improving our frontend architecture as we expand our suite of products to meet a variety of clinical use cases
- Adding new functionality to our GraphQL and REST APIs to support new product features
- Instrumenting our API layer for metric collection, monitoring and alerting
- Integrating the data generated by our data capture tool into our data platform and descriptive analytics product
- Providing feedback (both design and code) to your peers
About you:
- A solid base of software engineering experience, typically 1-5 years, in a modern single-page application environment
- Fluency with the JavaScript / TypeScript ecosystem, modern frontend frameworks and build tools (we use React, Typescript, Webpack)
- Strong foundation in programming, algorithms, and software application design
- Tendency to seek simple, elegant solutions to complex problems
- Ability to analyze and optimize existing solutions
- Familitiary with various database technologies, including relational, document, key/value, columnar, etc (we use Postgres, Redis, MongoDB)
- Experience with cloud computing providers (we use AWS)
- Familiarity with modern containerized environments (we use Docker & Kubernetes)
Bonuses
- Experience with healthcare data standards and integrations (HL7, FHIR, DICOM, etc.)
- End-to-end experience working on greenfield products from inception to release
- Experience with data visualization techniques and libraries
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)
- A small take-home code challenge
- Virtual onsite, including a technical discussion, engineering team meet, and co-founder meet (90-120 minute zoom call)
- Final stages, potential follow-up interviews, and offer discussions
Sorry, we do not offer visa sponsorships at this time.
Oncora Medical is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religious creed, disability, ancestry, national origin, sexual orientation, gender identity, or gender expression
About us:
Oncora is an oncology software and data company dedicated to helping physicians and scientists collect and use real-world data to improve outcomes for cancer patients. Our machine learning algorithms, which are deployed in active clinical environments, accurately predict oncology outcomes such as unplanned hospitalization, survival, and recurrence. Our software products include: a clinical workflow and data entry system for oncology clinical care, a data warehouse that leverages connections to other healthcare software systems such as EMRs, PACS, to amass real-world, regulatory-grade oncology data, a machine learning platform to train and validate predictive models of key oncology events, a machine learning API to power external software tools, and a virtual clinical trial platform that allows pharma and device companies to leverage automated medical image analysis to advance new technologies in the fight to cure cancer. We work with world-leading cancer centers such as MD Anderson and Northwell Health, global device companies such as Varian Medical Systems, and innovative biopharma companies. Our team is mission-driven to its core.
Originally posted on Himalayas