Computational Biologist: AI-Driven Target Discovery

PharmaEssentia U.S.A.; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

PharmaEssentia and its PIRC unit are seeking a Scientist II in Computational Biology to advance target discovery through integrated multi-omics, AI-driven workflows, and predictive modeling of cellular perturbations. You will work with immunology, translational science, and biologics teams to deliver reproducible analyses and decision-ready evidence.

The role emphasizes developing scalable computational frameworks, documentation, and collaboration across departments to translate program

Qualifications

• Ph.D. with 0–3 years of industry experience is noted.
• Deep knowledge in two or more areas: multi-omics target discovery, AI agent development, computational structural biology, or cellular perturbation modeling.
• Experience applying computational biology and ML/AI to drug discovery questions.

Responsibilities

• Integrate and analyze multi-omics datasets to identify disease-relevant targets.
• Develop AI agents to support scientific workflows with human review and traceability.
• Build transparent target-identification frameworks combining genetic evidence and translational relevance.
• Collaborate across Immunology, Translational Science, Biologics and other teams.
• Communicate methods and findings through visualizations and publications.

Skills

Python

R

Java

Multi-omics analyses

Education

Ph.D. in Computational Biology/Bioinformatics/CS

Job description

PharmaEssentia and its PIRC unit are seeking a Scientist II in Computational Biology to advance target discovery through integrated multi-omics, AI-driven workflows, and predictive modeling of cellular perturbations. You will work with immunology, translational science, and biologics teams to deliver reproducible analyses and decision-ready evidence.

The role emphasizes developing scalable computational frameworks, documentation, and collaboration across departments to translate program