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FULLY REMOTE

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About Us

GeneEase discovers novel gene therapies for subclinical conditions overlooked by traditional medicine - genetic disorders affecting millions (alcohol intolerance, lactose intolerance, mild autoimmunity) where existing treatments are inadequate or nonexistent.

We use computational biology to identify promising therapeutic targets, design gene therapy approaches (AAV, base editing, other modalities), validate mechanisms in silico, and partner with wet labs for experimental confirmation. We file patents and license IP to gene therapy companies for clinical development.

Role Overview

Lead computational gene therapy development: design therapeutics that can be manufactured, delivered, and clinically translated - not just theoretically promising targets.

You'll evaluate targets, design vectors with practical constraints in mind (manufacturability, delivery, immunogenicity), validate in silico, and coordinate academic partnerships for experimental validation.

80% computational work, 20% wet lab coordination. You design experiments—partners execute them. Critical: You must understand what makes gene therapies succeed or fail in practice, not just in silico.

Key Responsibilities

Therapeutic Design with Translational Focus (40%)

• Evaluate genetic targets (genetic clarity, deliverability, market size)
• Design gene therapy approaches considering practical constraints:
  • Manufacturability: AAV titer requirements, production scalability, purification
  • Deliverability: Tissue accessibility, dose requirements, injection volumes, immunogenicity
  • Regulatory feasibility: IND pathway, safety assessment, clinical endpoint definition
• Select modality (AAV, base editing, other), vector/delivery system, regulatory elements
• Optimize constructs (codon usage, cargo size, tissue specificity)

In Silico Validation (40%)

• Protein modeling: Structure prediction (AlphaFold), molecular dynamics (GROMACS), enzyme kinetics
• Safety assessment: Biodistribution (PBPK), immunogenicity, off-target prediction
• Translational risk assessment: Therapeutic window, dose-response, durability predictions