Data Scientist II / Senior Data Scientist, Life Sciences

Lila Sciences
Cambridge
Workplace: OnsiteFull timeUSD 140,800 - 217,800 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Detail-oriented","Problem-solving","Proactive"]

Bridge wet-lab life sciences workflows with software, automation, and AI by turning experimental data into actionable scientific insight. You’ll discover and validate analytical requirements, build reproducible bioinformatics and data-processing pipelines for raw assay outputs, and develop reusable analysis modules that scale across programs. Partner with scientists and engineers to integrate workflows with centralized data lake and AI platform systems, document methods clearly, and address gaps across LIMS and automation flows.

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Lila Sciences
Lila Sciences
4 days ago

Data Scientist II / Senior Data Scientist, Life Sciences

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Bridge wet-lab life sciences workflows with software, automation, and AI by turning experimental data into actionable scientific insight. You’ll discover and validate analytical requirements, build reproducible bioinformatics and data-processing pipelines for raw assay outputs, and develop reusable analysis modules that scale across programs. Partner with scientists and engineers to integrate workflows with centralized data lake and AI platform systems, document methods clearly, and address gaps across LIMS and automation flows.
Location: Cambridge
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own requirements discovery across lab, automation, software, and AI teams.
  • •Translate experimental and operational questions into well-scoped analyses.
  • •Develop bioinformatics and data-processing pipelines for raw assay outputs and build reusable analysis modules to improve reproducibility across studies.
  • •Integrate analytical workflows with centralized data lake and AI platform systems.
  • •Identify gaps in LIMS flows, data management, and automation workflows; document methods, assumptions, and results for technical and scientific audiences.

Pay and Benefits

Salary: USD 140,800 - 217,800 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife InsuranceDisability InsurancePaid ParentalEducation AssistanceCommuter BenefitsMeal Allowance

Key Requirements

  • •Strong background in biological sciences, life sciences data, or bioinformatics.
  • •Strong Python proficiency for scientific data analysis, including pandas, numpy, and scipy.
  • •Solid grounding in applied statistics and exploratory data analysis.
  • •Experience eliciting, documenting, and validating requirements from scientific and technical stakeholders.
  • •Ability to produce reproducible, well-documented analyses and communicate effectively with technical and bench scientists.
Experience:Life sciencesBioinformatics
Skills:CommunicationDetail-orientedProblem-solvingProactive
Languages:En
Tech Stack:PythonPandasNumpyScipyFlyteTemporalPydanticPyrightUvAWSDockerKubernetesLIMS

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
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