Principal ML Scientist for AI-Driven Biotech Ventures

Mirai Talent

Massachusetts

Hybrid

USD 220.000 - 300.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Performance incentives
Comprehensive benefits package

Zusammenfassung

A leading AI-driven biotechnology firm is seeking a Principal Machine Learning Scientist to lead their AI/ML strategy and develop cutting-edge ML systems. This hands-on role involves influencing company strategy and mentoring early hires, with a focus on biotech and scientific advancements. Ideal candidates boast a PhD/MSc in related fields, extensive applied ML experience, and proficiency in modern frameworks like Python, PyTorch, and TensorFlow. Competitive compensation and hybrid work options are offered in Cambridge, MA.

Qualifikationen

  • 5+ years of applied ML experience in biotech, pharma, or high-impact scientific environments.
  • Experience taking models from research to production-grade systems.
  • Proven ability to lead independently on cross-disciplinary projects.

Aufgaben

  • Leading AI/ML strategy across early-stage venture programs.
  • Designing, building, and deploying ML systems.
  • Developing LLM-based agents to accelerate research.

Kenntnisse

Expertise in Python
Experience with PyTorch
Experience with TensorFlow
Experience with JAX
Leadership on cross-disciplinary projects
Comfort in fast-paced environments

Ausbildung

PhD or MSc in Machine Learning, Computational Science, Mathematics, Computer Science

Tools

AWS
MLflow
Docker

Jobbeschreibung

A leading AI-driven biotechnology firm is seeking a Principal Machine Learning Scientist to lead their AI/ML strategy and develop cutting-edge ML systems. This hands-on role involves influencing company strategy and mentoring early hires, with a focus on biotech and scientific advancements. Ideal candidates boast a PhD/MSc in related fields, extensive applied ML experience, and proficiency in modern frameworks like Python, PyTorch, and TensorFlow. Competitive compensation and hybrid work options are offered in Cambridge, MA.
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