Jobs

We are currently looking for a Senior Computational Biologist, you will lead the in-silico discovery, modeling, and optimization of antibodies and novel binding proteins (e.g., nanobodies, affibodies, aptamers) tailored for rapid diagnostic test formats such as lateral flow assays and paper-based nucleic acid amplification systems. You will integrate structural bioinformatics and molecular simulation techniques to design high-affinity, high-specificity binders suited to point-of-care use.

Key Responsibilities:

• Binder Design & Optimization:

- Perform in silico screening and affinity maturation of antibody candidates and alternative scaffolds for diagnostic use.

- Design and optimize CDR regions using structure-guided and AI-based techniques.

- Predict binding affinities and cross-reactivity using docking and molecular dynamics simulations.

• Computational Pipeline Development:

- Develop and manage scalable pipelines for antibody-antigen modeling, docking, and binder optimization.

- Automate sequence-to-structure modeling and ML-based ranking of candida

• Diagnostic Relevance:

- Tailor designs for rapid test constraints such as surface immobilization, lateral flow compatibility, and low-resource settings.

- Collaborate with wet-lab teams to iteratively test and refine computational designs.

• Cross-functional Collaboration:

- Work closely with protein engineering, assay development, and molecular biology teams.

- Contribute to strategic decisions on antigen targets and binder formats

Qualifications:

? PhD or Post Doc in Computational Biology, Structural Bioinformatics, Immunology, or related field with relevant industrial experience

? Proven experience in antibody modeling, protein structure prediction, and binder design.

? Proficiency in tools such as Rosetta, PyRosetta, AlphaFold, Schrödinger, MOE, HADDOCK, or AutoDock.

? Hands-on with bioinformatics libraries, and molecular modeling packages.

? Familiarity with next-gen antibody formats (scFv, VHH, DARPin, aptamer, etc.).

? Strong understanding of the biophysics of protein-protein interactions.

Nice-to-Have:

? Background in omics data analysis, especially for target identification.

? Exposure to diagnostics workflows, particularly lateral flow assays or biosensors

? Experience in cloud-based or HPC environments for large-scale simulations.