Metric Bio
Head of Machine Learning /Senior Director Level
Location Preference: Cambridge, MA or near the RTP/NC
Remote Option: The position could be remote for the right candidate.
A biotechnology platform advancing nature-positive agriculture by leveraging breakthroughs in human health and digital innovation. It develops biological solutions that enhance crop health, helping farmers increase yields while adopting more sustainable, natural practices.
Sector Focus Nature-positive agriculture Bioengineering for crop health Integration of computational biology and ML in protein and peptide design
Core Responsibilities
Define long-term vision for computational/AI-driven biological design.
Lead cross-functional team (AI/ML, bioinformatics, structural biology).
Foster scientific rigor, innovation, and rapid iteration culture.
Develop predictive/generative models for function and developability.
Integrate ML with wet-lab processes for DBTL acceleration.
Work closely with bioprocess, formulation, analytical, and regulatory teams.
Communicate insights and strategy to stakeholders and at scientific forums.
Align scientific direction with business and platform priorities.
Lead multiple computational discovery programs.
Manage program timelines, technical prioritization, and resource planning.
Ideal Candidate Profile
PhD or equivalent in computational biology, ML, bioengineering, or related field.
10+ years in ML application to complex domains; 5+ years in leadership.
Skilled in Python, scalable cloud environments (preferably AWS), and MLOps.
Proven team builder with biotech experience.
Target Backgrounds & Skill Sets
Computational biologists with a strong machine learning foundation.
AI researchers with domain experience in protein engineering or synthetic biology.
Experienced biotech leaders in bioinformatics or molecular modeling.
Technical leaders with proven MLOps and software engineering practices in cloud environments.
PhD-level scientists adept in cross-functional team management and translational science.
This role is suited for individuals at the intersection of life sciences and machine learning, with a mission-driven mindset and the capability to innovate at the frontier of biological design.
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Location Preference: Cambridge, MA or near the RTP/NC
Remote Option: The position could be remote for the right candidate.
A biotechnology platform advancing nature-positive agriculture by leveraging breakthroughs in human health and digital innovation. It develops biological solutions that enhance crop health, helping farmers increase yields while adopting more sustainable, natural practices.
Sector Focus Nature-positive agriculture Bioengineering for crop health Integration of computational biology and ML in protein and peptide design
Core Responsibilities
Define long-term vision for computational/AI-driven biological design.
Lead cross-functional team (AI/ML, bioinformatics, structural biology).
Foster scientific rigor, innovation, and rapid iteration culture.
Develop predictive/generative models for function and developability.
Integrate ML with wet-lab processes for DBTL acceleration.
Work closely with bioprocess, formulation, analytical, and regulatory teams.
Communicate insights and strategy to stakeholders and at scientific forums.
Align scientific direction with business and platform priorities.
Lead multiple computational discovery programs.
Manage program timelines, technical prioritization, and resource planning.
Ideal Candidate Profile
PhD or equivalent in computational biology, ML, bioengineering, or related field.
10+ years in ML application to complex domains; 5+ years in leadership.
Skilled in Python, scalable cloud environments (preferably AWS), and MLOps.
Proven team builder with biotech experience.
Target Backgrounds & Skill Sets
Computational biologists with a strong machine learning foundation.
AI researchers with domain experience in protein engineering or synthetic biology.
Experienced biotech leaders in bioinformatics or molecular modeling.
Technical leaders with proven MLOps and software engineering practices in cloud environments.
PhD-level scientists adept in cross-functional team management and translational science.
This role is suited for individuals at the intersection of life sciences and machine learning, with a mission-driven mindset and the capability to innovate at the frontier of biological design.
#J-18808-Ljbffr