Biological Engineer

2 weeks ago

United Kingdom GeneEase Full time

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.

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.

Therapeutic Design with Translational Focus (40%)
Evaluate genetic targets (genetic clarity, deliverability, market size)
Design gene therapy approaches considering  practical constraints: Regulatory feasibility: Select modality (AAV, base editing, other), vector/delivery system, regulatory elements
Translational risk assessment: Generate validation reports with confidence scores and  translational risk flags
Lab Partnerships (15%)
Identify labs with relevant capabilities (animal models, assays, AAV production)
Design experimental protocols considering  practical feasibility (realistic timelines, achievable titers, appropriate controls)
Draft manuscripts, patent applications, pharma partner dossiers emphasizing  clinical translatability


Education: PhD in Computational Biology, Bioinformatics, Bioengineering, Systems Biology, or related fields (or MS with 3-5 years experience)
Wet Lab Experience: 1-3 years hands-on experience (cloning, cell culture, transfection, assays). Gene therapy experience strongly preferred (AAV/lentivirus production, transduction, functional validation, titer quantification).
Gene Therapy Technical: Vector design (AAV serotypes, promoter selection, cargo optimization, CRISPR guide RNAs), tools (Benchling, SnapGene)
Gene Therapy Development Mindset:
Protein modeling (AlphaFold, Rosetta), molecular dynamics (GROMACS/AMBER), pathway analysis (STRING, Reactome), PBPK modeling
Programming: Python (BioPython, pandas, PyTorch), R (Bioconductor), SQL, Git, Linux/HPC

Gene therapy industry experience: Worked at gene therapy biotech in vector development, process development, or CMC roles
Academic/CRO partnership management: Regulatory awareness: Shape the foundation of a product that bridges biology and computation.
Flexible, remote-first engagement.

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