Computational Biologist — AI & Target Discovery

PharmaEssentia U.S.A.; Bedford (MA); On-site; USD 120,000 - 160,000; Full time

Job summary

PharmaEssentia Innovation Research Center (PIRC) in the United States seeks a Scientist II, Computational Biology to advance target discovery using multi-omics, agentic AI, and predictive modeling. You will build rigorous computational methods connecting disease evidence to targets, and collaborate across Immunology, Translational Science and Biologics to generate decision-ready results.

The role combines computational biology with AI-driven workflows, emphasizes reproducibility, and requires

Qualifications

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, or related quantitative discipline, and 0-3 years’ industry experience.
• Experience in multi-omics target discovery, AI agent development, computational structural biology, or cellular perturbation modeling.
• Experience applying computational biology and ML/AI to pharma discovery or translational research questions.
• Hands-on multi-omics analysis; single-cell transcriptomics required; integrating multiple modalities preferred.
• Strong programming in Python/Java/C#/R with good software design, testing, version control, documentation, and reproducible analysis.
• Knowledge of modern ML/DL/AI methods for biological data, including evaluation, leakage prevention, uncertainty, and benchmarking.
• Ability to turn scientific questions into testable computational hypotheses and explain methods to multidisciplinary audiences.
• Strong collaboration across oncology, hematology, or immunology contexts.

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 target-identification frameworks combining genetic evidence, tractability, and translational relevance.
• Create perturbation-response models to predict effects across cell types and contexts.
• Apply computational structural biology to assess target biology and docking.
• Create reusable computational frameworks with standards for reproducibility and provenance.
• Collaborate with Immunology, Biologics, Translational Science, and other partners to translate questions into plans.
• Track evolving methods in multimodal models and agentic AI; adopt when advantageous.
• Communicate findings through visuals, docs, and publications.

Skills

Python

Java

C#

R

multi-omics

Education

Ph.D. in Computational Biology, Bioinformatics, Computer Science, or related

Tools

Git

Docker

Cloud computing

Job description

PharmaEssentia Innovation Research Center (PIRC) in the United States seeks a Scientist II, Computational Biology to advance target discovery using multi-omics, agentic AI, and predictive modeling. You will build rigorous computational methods connecting disease evidence to targets, and collaborate across Immunology, Translational Science and Biologics to generate decision-ready results.

The role combines computational biology with AI-driven workflows, emphasizes reproducibility, and requires