Head of Computational Biology & AI for Neuro-Oncology

Cerenome; Houston (TX); Hybrid; USD 200,000 - 320,000; Full time

Job summary

Cerenome is seeking a Director, Computational Biology & AI to establish and lead internal computational biology and AI capabilities. You will translate complex scientific data into insights for research, clinical development, and strategic decision-making.

This hands-on leadership role demands deep expertise in cancer biology, computational methods, and advanced analytics, with the chance to build an internal team as the company grows.

Qualifications

• PhD in Cancer Biology, Molecular Biology, Genomics, Neuroscience, Computational Biology, or a closely related scientific discipline.
• 8+ years of relevant postdoctoral or industry experience with computational analysis of biological or clinical data.
• Strong scientific understanding of oncology, tumor biology, molecular diagnostics, genomics, or translational research.
• Proficient in Python and R with statistical modeling, ML, and reproducible workflows.
• Experience analyzing complex clinical, genomic, molecular, or longitudinal datasets.

Responsibilities

• Establish and lead computational biology strategy across multiple programs: treatment outcomes, molecular diagnostics, disease modeling, and discovery.
• Design computational analyses of genomic, imaging, dosimetry, and clinical outcomes data using ML and advanced methods.
• Build scalable data capabilities: data infrastructure, standards, workflows, governance.
• Identify and implement practical AI applications to strengthen research and development.
• Ensure scientific rigor: model validation, reproducibility, data quality, and regulatory readiness.
• Provide direction to external data engineering partners and collaborators.
• Collaborate across Clinical Operations, Diagnostics, Regulatory, and Biostatistics to translate questions into analytics.
• Develop computational models to identify trends and support translational research.
• Plan for future capabilities: recruiting, mentoring, and growing the team.
• Present analyses and recommendations to executives and partners.
• Contribute to publications and external collaborations.
• Identify opportunities to improve efficiency and adopt new technologies.

Skills

Python

R

Genomics

Machine Learning

Clinical Data Analysis

Leadership

Education

PhD in Cancer Biology or related field

Tools

Cloud platforms (AWS/GCP)

Git

Jupyter/Notebook workflows

Job description

Cerenome is seeking a Director, Computational Biology & AI to establish and lead internal computational biology and AI capabilities. You will translate complex scientific data into insights for research, clinical development, and strategic decision-making.

This hands-on leadership role demands deep expertise in cancer biology, computational methods, and advanced analytics, with the chance to build an internal team as the company grows.