Lila Sciences

1 month ago

Principal Software Engineer, Data

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lead backend-focused software engineering for Lila Sciences’ Data Platform Team, building high-performance APIs, scalable data architectures, and cloud-based infrastructures (AWS, Kubernetes) to support real-time ingestion, large-scale analytics, and cross-functional scientific workflows with scientists and ML engineers.

Location: Cambridge, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and build APIs that are high-performance, secure, and well-documented to integrate with AI-driven applications.
•Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs) for scalable performance.
•Diagnose and optimize system bottlenecks to ensure high availability and low-latency workloads.
•Leverage AWS, Kubernetes, and modern DevOps practices to deploy production-grade systems at scale.
•Collaborate with ML researchers, engineers, and scientists to integrate data pipelines and cloud infrastructure into scientific workflows.

Key Requirements

•8-15 years of engineering experience building and deploying large-scale systems in production; strong in scalable backend system design
•Full stack development experience across the stack: React, TypeScript, Monorepos (Nx), Tailwind, FastAPI, SQL/NoSQL, Python, Pydantic
•Experience with ORMs and web services for CRUD (SQLAlchemy, SQLModel, FastAPI, Django)
•Experience with orchestration tools (Airflow, Prefect, Temporal, Dagster)
•Familiarity with Python for Science and ML libraries (pandas, numpy, scipy, jax, pytorch)

Experience:8-15 yearsLife sciencesAIData systemsBackendFull stack development

Education:Bachelor's

Skills:ReactTypeScriptPythonSQLNoSQLFastAPIPydanticSQLAlchemySQLModelDjangoAirflowDagsterKubernetesAWSTerraformCloudFormationGitHub ActionsMonoreposNxTailwind

Languages:English

Tech Stack:ReactTypeScriptNxTailwindFastAPISQLNoSQLPythonPydanticSQLAlchemySQLModelDjangoAirflowPrefectTemporalDagsterPandasNumpyScipyJAX

Company Brief

Lila Sciences

Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.

Industry: Biotech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website LinkedIn

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Lila Sciences

1 month ago

Principal Software Engineer, Data

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Cambridge, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and build APIs that are high-performance, secure, and well-documented to integrate with AI-driven applications.
•Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs) for scalable performance.
•Diagnose and optimize system bottlenecks to ensure high availability and low-latency workloads.
•Leverage AWS, Kubernetes, and modern DevOps practices to deploy production-grade systems at scale.
•Collaborate with ML researchers, engineers, and scientists to integrate data pipelines and cloud infrastructure into scientific workflows.

Key Requirements

•8-15 years of engineering experience building and deploying large-scale systems in production; strong in scalable backend system design
•Full stack development experience across the stack: React, TypeScript, Monorepos (Nx), Tailwind, FastAPI, SQL/NoSQL, Python, Pydantic
•Experience with ORMs and web services for CRUD (SQLAlchemy, SQLModel, FastAPI, Django)
•Experience with orchestration tools (Airflow, Prefect, Temporal, Dagster)
•Familiarity with Python for Science and ML libraries (pandas, numpy, scipy, jax, pytorch)

Experience:8-15 yearsLife sciencesAIData systemsBackendFull stack development

Education:Bachelor's

Skills:ReactTypeScriptPythonSQLNoSQLFastAPIPydanticSQLAlchemySQLModelDjangoAirflowDagsterKubernetesAWSTerraformCloudFormationGitHub ActionsMonoreposNxTailwind

Languages:English

Tech Stack:ReactTypeScriptNxTailwindFastAPISQLNoSQLPythonPydanticSQLAlchemySQLModelDjangoAirflowPrefectTemporalDagsterPandasNumpyScipyJAX

Company Brief

Lila Sciences

Industry: Biotech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website LinkedIn