Senior Software Engineer

ABOUT MITHRL

We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought.

Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent‑ready reports.

• 12X year-over‑year revenue growth
• Trusted by leading biotechs and big pharma across three continents
• Driving real breakthroughs from target discovery to patient outcomes.

We are hiring a Senior Full Stack Engineer to help build, scale, and evolve the core Mithrl product. This is a highly product‑oriented engineering role with deep ownership across frontend, backend, and system design. You will work closely with product, design, ML, and scientific teams to turn complex scientific workflows into intuitive, high‑performance software used daily by world‑class researchers.

As a senior engineer, you will be responsible not just for execution, but for technical direction, architectural decisions, and setting engineering standards
. You will own features end‑to‑end, from initial concept through production, iteration, and scale. This role requires strong full‑stack engineering fundamentals, a bias toward shipping, and the ability to operate comfortably in ambiguous, fast‑moving environments.

If you enjoy building real products used by sophisticated users, thinking deeply about system design and user experience, and taking ownership of critical parts of a fast‑growing platform, this role is an ideal match.

• Design, build, and maintain core Mithrl product features across frontend and backend
• Own end‑to‑end feature development, from product requirements to production deployment and iteration
• Build intuitive user interfaces that abstract complex scientific and data workflows
• Develop scalable backend services, APIs, and data pipelines that power the Mithrl platform
• Collaborate closely with product, design, ML, and scientific teams to translate user needs into technical solutions
• Make architectural decisions that balance speed, scalability, reliability, and developer velocity
  
  Improve system performance, reliability, and observability as usage and data volumes grow
• Write clean, maintainable, and well‑tested code that sets a high bar for quality
• Mentor junior engineers and contribute to raising the overall engineering bar
• Participate in technical planning, code reviews, and ongoing platform evolution

Required Qualifications

• 7+ years of professional software engineering experience
• Strong full‑stack engineering experience with Python and React in production environments
• Proficiency in Django for building backend APIs, services, and data‑intensive systems
• Strong experience building modern frontend applications using React
• Experience designing and working with Graph
  
  QL APIs, including schema design, performance considerations, and client‑server data modeling
• Experience designing and working with scalable systems, databases, and data‑intensive applications
• Strong understanding of system design, software architecture, and engineering best practices
• Experience shipping and owning production systems used by real customers
• Ability to work effectively in fast‑paced, ambiguous environments
• Strong problem‑solving skills and a product‑oriented mindset
• Excellent communication skills and ability to collaborate cross‑functionally

Nice to Have

• Experience building products for technical or scientific users
• Familiarity with data‑heavy, analytics, or ML‑enabled platforms
• Experience with cloud infrastructure such as AWS, GCP, or Azure
• Experience mentoring or leading other engineers
• Exposure to biotech, life sciences, or R&D workflows

• High ownership and impact:
  You will own meaningful parts of a category‑defining product used by leading pharma and biotech organizations. Your work will directly shape how scientists interact with AI and data on a daily basis
• Team:
  Join a tight‑knit, talent‑dense team of engineers,…