1 час назад
Data Scientist II / Senior Data Scientist (AI, Life Sciences)
140 800 - 217 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist II / Senior Data Scientist, Life Sciences (Python/AI): Building reproducible bioinformatics and data-processing pipelines that turn experimental assay data into actionable scientific insight with an accent on applied statistics, life sciences analysis, and integration with laboratory and AI platforms. Focus on translating wet-lab workflows into validated requirements, developing reusable analysis modules, and identifying gaps in LIMS, data management, and automation workflows.
Location: Cambridge, Massachusetts, United States
Salary: $140,800–$217,800 USD annual base salary, with bonus potential and early-stage equity.
Company
builds AI-powered scientific superintelligence systems and autonomous laboratory instruments for life sciences, chemistry, and materials science.
What you will do
- Own requirements discovery across laboratory, automation, software, and AI teams.
- Translate experimental and operational questions into well-scoped analyses.
- Develop bioinformatics and data-processing pipelines for raw assay outputs.
- 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 laboratory automation workflows, and document methods, assumptions, and results.
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 with scientific and technical stakeholders.
- Experience producing reproducible, well-documented analyses and communicating with technical collaborators and bench scientists.
- Proactive, detail-oriented approach to ambiguous scientific problems.
Nice to have
- Experience with laboratory automation platforms or instrument data systems.
- Familiarity with common bioinformatics tools.
- Experience with Flyte or Temporal workflow orchestration.
- Knowledge of pydantic, pyright, or uv.
- Familiarity with AWS fundamentals and containerized workflows using Docker or Kubernetes.
Culture & Benefits
- Cross-functional, collaborative environment spanning science, automation, software engineering, and AI.
- Full-time U.S. employees receive medical, dental, and vision coverage, plus employer-paid life and disability insurance.
- 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 subsidized lunch program.
- Core values include truth, trust, curiosity, grit, and velocity, with an early-stage startup environment.
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