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Lila Sciences

Senior Engineer I/II, Drug Discovery Platform

Lila Sciences
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6 days ago
Cambridge, MA, USASenior
H1B Sponsor

Base Salary

$148k - $240k/yr

Responsibilities

  • Design and operate the molecule queue that brokers compounds between AI Scientists and the Make-Test platform, including state management, batching, prioritization, and read/write contracts.
  • Build the canonical compound and structure registry with SMILES/InChI normalization, stereochemistry handling, salt and parent resolution, duplicate detection, and stable internal identifiers.
  • Create pipelines for ChemSpeed synthesis, LCMS, NMR, and bioassay-reader data, capturing identity, purity, dose-response, IC50/EC50, ADMET, and selectivity results.
  • Maintain synthesis constraints and inventory state covering building blocks, advanced precursors, ChemSpeed capacity, stock alerts, reaction types, step budgets, and solvent compatibility.
  • Own data quality, lineage, schema evolution, observability, and service-level targets for the computational-to-experimental feedback loop.

Requirements

  • Bachelor’s or master’s degree in computer science, chemistry, computational biology, or a related field.
  • 5+ years of experience building production data platforms, ideally with scientific or laboratory-generated data.
  • Experience designing and shipping ingestion frameworks, registries, storage abstractions, and orchestration systems from the ground up.
  • Fluency in backend production APIs and services, Python, and SQL, with production-quality coding skills.
  • Production experience with relational and/or NoSQL databases, evolving scientific schemas, query optimization, and structured, semi-structured, and unstructured data.
  • Ability to model chemical and biological data, including structures, reactions, assays, dose-response data, batches, replicates, censored values, and failed runs.
  • Experience with AWS and containerized deployment using Kubernetes.
  • Proficiency with AI-assisted development tools such as Cursor, Claude Code, or similar.
  • Preferred experience with RDKit, OpenEye, CDD Vault, Dotmatics, Benchling Registry, ELN/LIMS, mzML, AnIML, Flyte, Airflow, Dagster, Temporal, Iceberg, Delta Lake, Hudi, DuckDB, Polars, Spark, ChemSpeed, Chemspeed SWING, Opentrons, or HTS readers.
  • Preferred domain experience includes pharma, biotech, academic drug discovery, SAR, ADMET, IC50/EC50, DEL screening, and infrastructure for agentic or LLM-driven workflows.

Benefits

  • Full-time U.S. employees receive medical, dental, and vision coverage.
  • Employer-paid life and disability insurance are provided.
  • Employees receive flexible time off, generous company-wide holidays, and paid parental leave.
  • Educational assistance, commuter benefits including bike-share memberships for office-based employees, and a company-subsidized lunch program are available.
  • International full-time employees receive regionally tailored benefits.

Categories

BackendData Engineering