Executive Director, Head of Bioinformatics

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

• Define and own Janux’s bioinformatics strategy across discovery, translational research, and clinical development.
• Serve as a key scientific advisor to program teams, influencing strategy from discovery through clinical proof‑of‑concept.
• Establish scientific, technical, and data quality standards to support regulatory‑grade analyses where applicable.
• Translate complex computational results into clear scientific narratives for internal governance, executive leadership, and external audiences.
• Represent bioinformatics in senior‑level discussions and contribute to portfolio and platform‑level strategy.
• Lead hands‑on and/or directed analysis of complex, high‑dimensional clinical datasets, including ctDNA, CTC’s, flow, PK, ADA, NAb, tissue-based RNA/IHC, PET, CT (RECIST 1.1), and other comparable data types.
• Develop and oversee development, maintenance, and enhancement of scalable, reproducible bioinformatics dashboards, pipelines and analytical frameworks to support target discovery, mechanism‑of‑action studies, biomarker development, and patient stratification.
• Develop and implement computational strategies for data mining and exploration using statistical and machine learning methodologies.
• Partner closely with IT, Translational Medicine, Research, and Clinical teams to design and execute exploratory and hypothesis‑driven biomarker analyses.
• Support clinical programs by ensuring bioinformatics deliverables meet project timelines and expectations for data integrity, traceability, and documentation.
• Foster strong, collaborative relationships across functions and with external collaborators.
• Other duties as deemed necessary.

EDUCATION, EXPERIENCE, KNOWLEDGE, SKILLS, AND ABILITIES

• Ph.D. (or equivalent experience) in Bioinformatics, Computational Biology, Biostatistics, Genomics, Computer Science, or a related discipline.
• 10+ years of biotech or pharmaceutical industry experience, with progressive leadership responsibility and a strong record of scientific impact.
• Demonstrated experience supporting translational and/or clinical development programs, preferably in oncology, immunology, or related therapeutic areas, e.g. cell & gene therapy.
• Strong programming skills (e.g., Python, R) and experience with reproducible research practices, data visualization, and modern analytical workflows.
• Proven experience evaluating and applying data science, machine learning, and AI methods in biological and clinical contexts.
• Ability to bridge computation and biology, translating complex analyses into actionable insights.