Personalized Medicine β’ Machine Learning β’ Oncology β’ Software
11 - 50
π° $3M Corporate Round on 2019-09
November 10
πΊπΈ United States β Remote
π΅ $80k - $120k / year
β° Full Time
π’ Junior
π§βπ» Full-stack Engineer
Personalized Medicine β’ Machine Learning β’ Oncology β’ Software
11 - 50
π° $3M Corporate Round on 2019-09
β’ Develop pipelines to integrate new data elements into the oncology schema β’ Oversee and monitor data infrastructure for stability, performance, and accuracy β’ Improve data warehousing and reporting capabilities for real-time analysis β’ Integrate standard and proprietary ontologies into data enrichment processes β’ Enhance de-identification capabilities to support machine learning and clinical research β’ Build reusable integrations with major clinical systems (EMR/EHRs) β’ Deploy updates frequently to improve cancer care β’ Provide constructive feedback through code and architecture reviews
β’ 1-5 years of software engineering experience β’ Experience in data-focused roles or projects β’ Fluency with Python β’ Experience with relational and non-relational databases (Postgres, MongoDB, Redis, ElasticSearch) β’ Ability to analyze and optimize existing solutions β’ Focus on writing understandable, testable, maintainable code β’ Experience with asynchronous and distributed systems (RabbitMQ) β’ Familiarity with modern containerized environments (Docker & Kubernetes)
β’ 401k β’ health and dental insurance β’ flexible vacation policy β’ paid parental leave β’ eBooks β’ online courses β’ workstation setup β’ happy hours β’ team dinners β’ conversations with oncologists (will return soon!)
Apply NowNovember 10
201 - 500
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πΊπΈ United States β Remote
π° Private Equity Round on 2018-01
β° Full Time
π’ Junior
π‘ Mid-level
π§βπ» Full-stack Engineer
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πΊπΈ United States β Remote
π΅ $147.9k - $174k / year
π° $21.4M Post-IPO Equity on 2022-11
β° Full Time
π’ Junior
π‘ Mid-level
π§βπ» Full-stack Engineer
π«π¨βπ No degree required
π½ H1B Visa Sponsor
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