Principal Scientist, Bioinformatics

The role

You will develop generative AI models and agentic AI systems to discover novel disease targets. You will also apply geometric deep learning and structural biology principles to design and refine high-affinity binders for CAR-T cell therapies.

What you will do

• Architect and deploy agentic AI systems to mine multi-omic datasets, clinical literature, and biological pathways for novel, tumor-specific drug targets
• Build predictive frameworks using transcriptomics and other datasets to evaluate target draggability and potential off-tumor toxicity
• Develop/adapt generative models to design novel, highly specific binders for target tumor antigens
• Model immune interfaces using advanced geometric deep learning to predict paratope-epitope interactions
• Inspect AI-designed binders to fix physical anomalies, optimize hydrophobic packing and hydrogen bonding networks, and resolve steric clashes or backbone strain
• Tune binder biophysical properties to achieve optimal CAR-T signaling and prevent T-cell exhaustion

Required qualifications

• Ph.D. in Computational Biology, Computer Science, Structural Biology, or Biophysics
• 3+ years of post-PhD experience (or 6+ years for MS/BS) in biotech/pharmaceutical industry or advanced research setting focusing on computational drug discovery, target identification, and antibody/bi
• Expert programming proficiency and deep learning frameworks in Python and primarily PyTorch
• Experience building generative AI model, agentic AI systems utilizing LLM orchestration frameworks to query biomedical databases and literature
• Deep familiarity with structural biology software including AlphaFold, ESMFold, RFdiffusion, ProteinMPNN, BindCraft, and FoldFlow
• Proficiency in physics-based simulation and structural optimization/visualization tools (e.g., GROMACS, AMBER, OpenMM, PyMOL)
• Solid understanding of structural immunology
• Expertise in interface biophysics, including the ability to calculate interface binding energies (ΔΔG), evaluate electrostatic surface potentials
• Familiarity with foundational multi-omics platform datasets and target evaluation databases (e.g., TCGA, Open Targets, Human Protein Atlas, DepMap)

Benefits

• Medical, dental, and vision insurance
• 401(k) retirement plan with a company match that vests fully on day one
• Eight (8) weeks of paid parental leave after three (3) months of employment
• Paid time off including vacation time, personal time, sick time, floating holidays, and eleven (11) company holidays
• Flexible spending and health savings accounts
• Life and AD&D insurance
• Short- and long-term disability coverage
• Legal assistance
• Supplemental plans such as pet, critical illness, accident, and hospital indemnity insurance
• Voluntary commuter benefits
• Family planning and care resources
• Well-being initiatives and peer-to-peer recognition programs

Before you apply

• Applicants must be authorized to work in the United States
• Employment eligibility will be verified through E-Verify

About the company

Legend Biotech is a global biotechnology company dedicated to treating and, one day, curing life-threatening diseases. Headquartered in Bridgewater, New Jersey, the company advances the next generation of cell therapy through a portfolio of innovative technologies.