VIVIO, a Public Benefit Corporation
VIVIO, a Public Benefit Corporation
Jamoat manfaatlariga xizmat qiluvchi korporatsiya bo‘lgan VIVIO shaxsiylashtirilgan dori-darmon strategiyalarini qo‘llab-quvvatlash uchun ma’lumotlar intellektidan foydalanadigan dori-darmonlarni boshqarish yechimlarini ishlab chiqadi. Uning yondashuvi klinik sinovlar ma’lumotlarini bozor narxlari bilan birlashtirib, tashkilotlarga, ayniqsa maxsus dori-darmonlar bo‘yicha, retseptli dori xarajatlarini boshqarishda yordam beradi hamda tegishli davolash, davolanishga rioya qilish va bemorlar natijalarini qo‘llab-quvvatlaydi. VIVIO keraksiz vositachilar yoki ustama narxlarsiz dori-darmonlarning bevosita narxlari va boshqaruviga e’tibor qaratib, an’anaviy dorixona imtiyozlari menejeri modellariga shaffof muqobil taklif etadi.

Senior Software Engineer, Python Healthcare Platform

Build Python services for VIVIO Health’s pharmacy benefits platform. Develop claims workflows, APIs, data pipelines, and healthcare applications.

Tavsif

  • Build and maintain Python services, including FastAPI REST APIs, batch jobs, and shared libraries
  • Develop features for claims, eligibility, and drug-pricing workflows
  • Write and optimize MySQL queries, reports, and stored procedures
  • Deliver maintainable, well-structured, unit-tested code
  • Contribute across design, code review, deployment, and production support
  • Partner with other departments to align technical solutions with business objectives
  • Use AI-assisted development tools while owning code correctness, testing, and review
  • Build and support pharmacy and medical claims services, batch data pipelines, and internal web applications

Talablar

  • Bachelor’s or advanced degree in Computer Science, or equivalent practical experience
  • At least 3 years of hands-on Python development experience
  • Strong computer science fundamentals, including data structures, testing, and Git version control
  • Careful, disciplined approach to handling sensitive data
  • Experience with relational databases and SQL; MySQL is preferred
  • Experience building Python REST APIs; FastAPI is preferred
  • Experience with the Atlassian toolset and Agile development practices
  • Comfort working in Linux environments
  • Experience using AI coding tools such as Claude Code, ChatGPT, Cursor, or similar, with sound judgment about reviewing and trusting their output
  • Current authorization to work full time in the United States without employer support, visa transfer support, DSO documentation, or sponsorship now or in the future
  • No need for VIVIO support or sponsorship for immigration-related employment authorization now or in the future
  • HIPAA or PHI experience is a plus
  • AWS experience is a plus
  • Healthcare industry experience is a plus
  • Active problem-solving approach and a willingness to figure things out
  • Clear, proactive communication skills
  • Exceptional attention to detail
  • Willingness to learn a complex, regulated business domain
  • Openness to feedback and collaborative code review

Imtiyozlar

  • Eligibility for a bonus
  • Medical insurance
  • Pharmacy benefits
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Stock options
  • 401(k) with company match
  • Paid time off
  • Dynamic, collaborative work environment
  • Opportunity to contribute at a growing Public Benefit Corporation
  • Remote work option for candidates outside the Bay Area
  • Periodic team onsite gatherings in Hayward for remote team members

O‘xshash ish o‘rinlari

Terumo Medical Corporation

Territory Manager, Interventional Systems — Philadelphia

Terumo Medical Corporation

Lead sales of Terumo Interventional Systems devices to hospitals and outpatient facilities in the Philadelphia area. Build accounts, support procedures, educate clinicians, and meet territory sales goals.

Ochish
Aleph Alpha

Senior AI Researcher, Foundation Model Pre-Training — Aleph Alpha, Heidelberg

Aleph Alpha
51 – 200 Xodimlar
B2BSun’iy intellekt

Lead architecture and large-scale pre-training work for Aleph Alpha’s European foundation models, shaping training methods across thousands of GPUs. Build and refine PyTorch training recipes with the Heidelberg-based hybrid team.

Ochish