Tempus AI
Tempus AI
Tempus AI ir veselības aprūpes tehnoloģiju uzņēmums, kas pievēršas precīzijas medicīnai, apvienojot mākslīgo intelektu ar genoma profilēšanu un reālās pasaules klīniskajiem datiem. Tā platforma atbalsta ārstēšanas lēmumu pieņemšanu un pētniecību onkoloģijas, kardioloģijas, neiroloģijas un psihiatrijas jomā, tostarp pacientu piemeklēšanu klīniskajiem pētījumiem un algoritmu testēšanu. Savienojot veselības aprūpes datus ar progresīvu analītiku, Tempus AI cenšas palīdzēt veselības aprūpes sniedzējiem personalizēt ārstēšanu un efektīvāk izstrādāt zāles.

Senior Software Engineer I, Data Content - Tempus AI, Chicago Onsite

Build de-identification systems and data pipelines at Tempus AI. Develop scalable software that protects patient privacy while supporting precision medicine research.

Apraksts

  • Design, build, and scale reliable software systems at Tempus.
  • Develop de-identification systems that transform clinical, molecular, and other identified patient data into research-ready datasets.
  • Design and scale data pipelines and event-driven services that protect privacy while preserving analytical value.
  • Lead projects that contribute to quarterly team objectives.
  • Work effectively through ambiguity and changing project conditions.
  • Partner with leadership to define ambitious, achievable goals and turn them into actionable projects.
  • Support colleagues’ development by accounting for their skills, backgrounds, and working styles.
  • Offer constructive feedback and coaching while addressing issues without assigning blame.
  • Create flexible, reusable, efficient, and maintainable code.
  • Identify and escalate technical dependencies managed by other teams.
  • Deliver resilient, scalable functionality across the technology stack.
  • Raise system quality through thoughtful design, testing, and code reviews.
  • Resolve recurring engineering challenges to improve team velocity.
  • Work across teams to strengthen product quality and reliability.

Prasības

  • Several years of experience contributing to software development teams.
  • Ability to help lead technical analysis and design, assess tradeoffs, and establish engineering best practices.
  • Experience developing software through data-informed, iterative processes.
  • Understanding of distributed systems and event-driven architecture.
  • Experience working in fast-paced agile environments.
  • Ability to troubleshoot blockers, document solutions, and coordinate work across teams.
  • Willingness to learn from and collaborate with a diverse, highly capable team.
  • Ability to mentor junior engineers.
  • Bonus: experience with Docker, AWS, and Google Cloud Platform.
  • Bonus: experience with Python, Spark, dbt, SQL, and Airflow.
  • Bonus: experience in biotechnology, genomics, or precision medicine.

Priekšrocības

  • Incentive compensation may be available.
  • Restricted stock units may be available.
  • Medical coverage and other benefits may vary by position.

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