Flagship Ventures
Lila Sciences, Inc. | Cambridge, MA Principal Full Stack Engineer
Flagship Ventures, Cambridge, Massachusetts, us, 02140
Overview
Lila Sciences is the worlds first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by applying AI to every aspect of the scientific method and solving humankinds greatest challenges in health, climate, and sustainability. If this sounds like an environment youd love to work in, even if you only have some of the experience listed below, please apply. What Youll Do
Lead End-to-End Software Development Lifecycle:
Drive the technical design, implementation, and maintenance of software systems and applications. Architect & Implement Applications:
Design and build robust, scalable web applications and services across the full stack, empowering scientists to harness AI in their research workflows. Collaborate Cross-Functionally:
Partner with domain scientists, ML engineers, and product leads to integrate various technologiesML models, data/compute infrastructure, and experimental automation tools. Establish Organizational Best Practices:
Set standards for code quality, testing, and documentation. Mentor junior engineers and foster a culture of knowledge sharing. Operationalize Code in Production:
Leverage observability tooling to monitor real-world performance and steer improvements. What Youll Need to Succeed
Bachelors or Masters degree
in Computer Science, Engineering, or a related field. 8+ years of experience
building and deploying scalable software systems in production environments. Full Stack Development:
Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, Tailwind, FastAPI, SQL/NoSQL, Python, Pydantic). Cloud & DevOps Knowledge:
Hands-on experience with AWS, GCP, or Azure; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions). Communication & Collaboration:
Acute listening skills and a track record of cross-functional work with scientists, data engineers, and product teams; ability to explain complex ideas to diverse audiences. Hands-On with Latest AI Tools:
Exposure to AI technologies such as LLMs, Retrieval-Augmented Generation (RAG), or agentic frameworks, and experience using AI to improve development performance. Experience with ORMs:
Experience with web services for CRUD operations (SQLModel, FastAPI, Django). Orchestration Systems:
Experience with orchestrators (Airflow, Prefect, Temporal, Dagster). Familiarity with Python for Science:
Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch). Domain Background:
Exposure to laboratory software or analytics for life sciences, materials sciences, or related fields. Technical Leadership:
Experience leading or mentoring a team and making key architecture decisions. Experience with laboratory devices, robotics, or hardware drivers. Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Sciences internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto. A note about application process: this job posting contains the required fields for applicants. Create a Job Alert if youd like future opportunities sent to your email. #J-18808-Ljbffr
Lila Sciences is the worlds first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by applying AI to every aspect of the scientific method and solving humankinds greatest challenges in health, climate, and sustainability. If this sounds like an environment youd love to work in, even if you only have some of the experience listed below, please apply. What Youll Do
Lead End-to-End Software Development Lifecycle:
Drive the technical design, implementation, and maintenance of software systems and applications. Architect & Implement Applications:
Design and build robust, scalable web applications and services across the full stack, empowering scientists to harness AI in their research workflows. Collaborate Cross-Functionally:
Partner with domain scientists, ML engineers, and product leads to integrate various technologiesML models, data/compute infrastructure, and experimental automation tools. Establish Organizational Best Practices:
Set standards for code quality, testing, and documentation. Mentor junior engineers and foster a culture of knowledge sharing. Operationalize Code in Production:
Leverage observability tooling to monitor real-world performance and steer improvements. What Youll Need to Succeed
Bachelors or Masters degree
in Computer Science, Engineering, or a related field. 8+ years of experience
building and deploying scalable software systems in production environments. Full Stack Development:
Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, Tailwind, FastAPI, SQL/NoSQL, Python, Pydantic). Cloud & DevOps Knowledge:
Hands-on experience with AWS, GCP, or Azure; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions). Communication & Collaboration:
Acute listening skills and a track record of cross-functional work with scientists, data engineers, and product teams; ability to explain complex ideas to diverse audiences. Hands-On with Latest AI Tools:
Exposure to AI technologies such as LLMs, Retrieval-Augmented Generation (RAG), or agentic frameworks, and experience using AI to improve development performance. Experience with ORMs:
Experience with web services for CRUD operations (SQLModel, FastAPI, Django). Orchestration Systems:
Experience with orchestrators (Airflow, Prefect, Temporal, Dagster). Familiarity with Python for Science:
Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch). Domain Background:
Exposure to laboratory software or analytics for life sciences, materials sciences, or related fields. Technical Leadership:
Experience leading or mentoring a team and making key architecture decisions. Experience with laboratory devices, robotics, or hardware drivers. Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Sciences internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto. A note about application process: this job posting contains the required fields for applicants. Create a Job Alert if youd like future opportunities sent to your email. #J-18808-Ljbffr