Vilya is a computational biotechnology company creating a novel class of medicines to precisely target disease biology. We believe computational approaches are an integral, if not foundational, component of drug discovery and development.

We are harnessing the power of our platform to go after previously impossible targets in an array of indications. Vilya’s ultimate goal is to solve some of the most challenging unmet medical needs that exist today.

Our Vision: Harness a revolution in technology and biology to better human health

Our Mission: Build an independent, leading biotech company founded on intelligent drug design to cure the incurable

We are seeking a computational chemist - scientist to invent and apply state-of-the-art in silico methodologies to computationally discover, develop, and evaluate therapeutic molecules from Vilya’s novel platform of structured macrocycles. This position collaborates closely with all of the teams to lead decision making toward the identification of therapeutic molecules with the highest likelihood of success in the clinic.

RESPONSIBILITIES:

• Collaborate with multi-disciplinary teams in the discovery and development of macrocyclic molecules with potency, selectivity, and in vivo stability using structure-guided approaches.
• Implement individual methods and integrated pipelines that will generate and process large libraries of virtual macrocycles for virtual screening and evaluate smaller sets of the most promising compounds to prioritize downstream efforts.
• Analyze data from experimental and computational assays to improve methodology throughout the Vilya therapeutic discovery platform.
• Innovate Vilya’s computational design platform by building state-of-the-art computational chemistry metrics and protocols.

QUALIFICATIONS:

• Ph.D. in computational chemistry, computational biochemistry, or other closely related fields at the intersection of computing, medicinal chemistry and drug discovery.
• Extensive hands-on-experience applying any combinations of the following approaches to drug discovery: virtual screening, binding free-energy methods, molecular dynamics, QSAR modeling, etc.
• Experience with and knowledge of open source and/or commercial computational chemistry software, such as: Schrodinger, OpenEye, OpenMM, TorchANI, RDKit, Rosetta, etc.
• Extensive hands-on experience with parallel job execution and high performance computing systems.