Forward Deployed Engineer (BioPharma/Lifescience)

Condor Software

$130K — $160K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4-10 years of software engineering experience with depth in building end-to-end production systems
  • Proficient in Python and Django, with experience in PostgreSQL and AWS
  • Demonstrated ability to rapidly translate customer needs into core product solutions
  • Experience using AI frameworks to develop reliable systems quickly
  • Strong communication skills with both technical and non-technical audiences
  • High ownership with the ability to operate independently in ambiguous environments
  • Previous experience in a forward-deployed or zero-to-one engineering role

Responsibilities

  • Embed with biopharma customers to understand workflows and success metrics
  • Uncover and validate operational use cases to convert valuable insights into product enhancements
  • Design and deploy AI-powered solutions swiftly in response to real-world operational challenges
  • Translate customer requirements into technical architecture, avoiding one-off prototypes
  • Build and maintain robust production systems including APIs and data integrations
  • Manage end-to-end ownership of deployments from scoping to iteration
  • Identify patterns in deployments to enhance core product functionality

Benefits

  • 100% company-paid health, dental, vision, and life insurance
  • 401(k) with a 3% company match that vests immediately
  • Unlimited PTO
  • Competitive compensation with equity participation
Full Job Description
About the Role

As a Forward Deployed Engineer, you sit at the intersection of engineering, product, and customer delivery. Embedded directly with biopharma customers, you will learn their clinical and financial workflows firsthand to design and deploy high-impact, AI-powered solutions.

This is an active engineering role, not solutions consulting. When you spot a problem in the field, you solve it by opening PRs against our core codebase-building production-grade capability rather than throwaway prototypes. Working alongside product and customer leadership, you are the technical authority in the room, driving rapid execution with zero translation layer.

Your insights from field deployments directly feed back into our core platform architecture and product roadmap. It is a highly autonomous, hands-on opportunity for an engineer who thrives in high-stakes environments and wants to shape the future of biopharma infrastructure.

What You'll Do
  • Embed directly with biopharma customers to understand their workflows, constraints, and definition of success across both finance (accruals, forecasting, reconciliation) and clinical operations (vendor activity, study execution, operational data)
  • Uncover and validate new use cases in the field to the granular details, including clinical operations problems adjacent to finance and clinical operations and turn the most valuable ones into product
  • Design, build, and deploy AI-driven solutions to real operational problems - fast, in days rather than quarters
  • Turn ambiguous customer requirements into technical architecture and ship them into Condor's core platform, not one-off prototypes
  • Build and maintain production systems: Django services and APIs, agent workflows on AWS Bedrock, data integrations, monitoring, and feedback loops
  • Build customer-facing systems end-to-end-from UI to backend to data to AI-to surface a capability fully.
  • Own deployments end-to-end, from initial scoping through launch and iteration
  • Operate in high-stakes environments where reliability, speed, accuracy and judgment matter - this is financial data customers close their books on
  • Identify patterns across deployments and codify field work back into core product and platform capability
  • Partner closely with Product and Engineering to influence roadmap, abstractions, and long-term system design
  • This role involves occasional travel to customer locations on an as-needed basis.
What We're Looking For
  • Has done this before. You've held a forward-deployed, founding-engineer, or similar zero-to-one customer-facing role, and turned messy real-world requirements into shipped software.
  • 4-10 years of software engineering experience with real depth - you've built and owned end-to-end production systems, not just features inside a large existing one.
  • Builds end-to-end systems quickly with AI. You use LLMs and agent frameworks (function calling / tool use, RAG, evals) to go from problem to working system fast, and you own their reliability, evaluation, and cost.
  • Translates customer needs into core products. A track record of taking a customer problem and implementing the solution directly in a shared core codebase.
  • Deep software engineering fundamentals. Strong proficiency in Python and Django; solid data modeling and SQL on PostgreSQL; comfort building on AWS (Bedrock, ECS/Fargate, Lambda). React for customer-facing UI is a plus.
  • Strong communicator. At ease with both technical and non-technical stakeholders, and credible in front of a customer.
  • High ownership. Able to operate independently in a fast-changing, ambiguous environment and drive a deployment to completion.


Nice to Have
  • Background from companies known for the FDE or zero-to-one model - Palantir, Anduril, Cursor, Cognition, or similar
  • Experience with vector search and retrieval (Pinecone, pgvector) and graph/relationship stores (Neo4j)
  • Exposure to clinical operations, biopharma R&D, financial systems, or other regulated, high-correctness data domains - or experience integrating with clinical and financial systems (ERP, CTMS, EDC, procurement, vendor feeds)
  • Experience building evaluation and observability for LLM applications


What We Offer
  • Competitive compensation and meaningful equity participation
  • 100% company-paid health, dental, vision, and life insurance
  • 401(k) with a 3% company match that vests immediately
  • Unlimited PTO

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