Senior Fullstack Engineer

Orchestra BioSan Francisco, CA
79d

About The Position

Orchestra helps companies navigate the journey from discovery to medicine by connecting science, operations, and finance in an intelligent platform. We're on a mission to make every R&D dollar count. Developing new medicines is a societal imperative to improve human health and reduce medical costs. Brilliant science needs effective management to develop breakthrough medicines that reach patients. We aim to bring the same level of sophistication to scientific development that modern tools brought to software development. While software teams can ship updates daily, R&D organizations face unique challenges: years long development cycles, complex interdependencies, and high-stakes decisions that can make or break billion dollar programs. Founded by early Benchling leaders, we just emerged from stealth with $20M in funding from 8VC, Andreessen Horowitz, Insight Partners, Definition, and Haystack to transform how biotech companies operate. Our customers are working on society's most important challenges, including neurodegeneration, cancer, metabolic disease, and biomanufacturing. We're looking for engineers who are excited about building software that helps scientific organizations operate more effectively.

Requirements

  • 6-8 years of frontend or fullstack engineering experience
  • Deep expertise in React and modern JavaScript/TypeScript
  • Strong understanding of frontend architecture
  • Excellent communication skills and ability to collaborate with product and design
  • Proven track record of working effectively in small, fast-moving engineering teams

Nice To Haves

  • Experience building sophisticated data visualization UIs
  • Background in high domain complexity
  • Track record of mentoring other engineers

Responsibilities

  • Build interactive tools that help organizations model different paths to market for their discoveries, assessing complex trade offs between time, money, and technical risk.
  • Create intuitive interfaces that help diverse teams (scientists, program managers, executives) understand how their work connects to broader company goals.
  • Design clear ways to visualize complex dependencies and communicate progress across teams.
  • Design interfaces that scientists and researchers use daily to manage their studies, track progress, and coordinate with their teams.
  • Leverage LLMs to help teams generate and evaluate scenarios, infer scientific progress and risks from unstructured data, and surface critical insights from across their R&D portfolio.
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