Director, Computational Biology & AI-Driven Oncology

Meet Life Sciences Ltd.

Boston (MA)

On-site

USD 280,000 - 420,000

Full time

2 days ago
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Job summary

Meet Life Sciences Ltd. seeks a Director of Computational Biology to lead strategic initiatives in oncology translational medicine from Boston or Philadelphia.

You will guide computational biology, AI/ML, biomarker analytics, and emerging diagnostics to inform development strategies and precision medicine. The role partners with clinical development, translational research, diagnostics, and AI/ML teams to translate complex data into actionable insights for next-generation therapies and

Qualifications

  • PhD or equivalent in computational biology, bioinformatics, machine learning, computational pathology, or a related discipline.
  • 7+ years of applied pharma/biotech experience with oncology/diagnostics focus.
  • Advanced knowledge of statistical/analytical methods for high-dimensional data with AI/ML application.
  • Proficiency in GitHub, R Shiny/R Markdown, cloud/HPC environments, and Python.

Responsibilities

  • Lead innovation in computational biology and emerging diagnostic technologies.
  • Develop and apply advanced analyses to complex clinical, real-world, and high-dimensional datasets.
  • Provide scientific leadership for biomarker discovery and diagnostic strategies for patient stratification and therapy development.
  • Collaborate across clinical development, translational research, diagnostics, and AI/ML teams.

Skills

Cross-functional leadership
AI/ML
Biomarker analytics
Computational biology
Single-cell & spatial transcriptomics
ctDNA
Clinical development collaboration
R/Python

Education

PhD in computational biology or related

Tools

GitHub
R Shiny/R Markdown
Cloud HPC
Python

Job description

Meet Life Sciences Ltd. seeks a Director of Computational Biology to lead strategic initiatives in oncology translational medicine from Boston or Philadelphia.

You will guide computational biology, AI/ML, biomarker analytics, and emerging diagnostics to inform development strategies and precision medicine. The role partners with clinical development, translational research, diagnostics, and AI/ML teams to translate complex data into actionable insights for next-generation therapies and

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