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.
Requirements
- Skilled in designing and managing scientific data pipelines and architecture.
- Ability to integrate lab automation with data management systems.
- Proficiency in Python and git-based development.
- Hands-on expertise with Google Cloud Platform (GCP) and LIMS/ELN systems (e.g., CDD).
- Knowledge of IND submission requirements, including traceability, audit trails, and data standards.
Responsibilities
- Lead the strategy and execution of informatics and data systems supporting both discovery and pre-clinical research.
- Evaluate, select, and implement technology platforms and vendors that advance scientific productivity and decision making.
- Partner with scientific leadership to design efficient, scalable, and fit-for-purpose data systems.
- Oversee data architecture, pipelines, and interoperability, ensuring seamless capture, storage, and retrieval across lab and computational teams.
- Manage LIMS/ELN platforms (e.g., CDD) and integrate lab automation tools with data management workflows.
- Direct the development of both user-facing applications and back-end infrastructure.
- Establish and maintain rigorous data governance standards for quality, integrity, provenance, and reproducibility.
Other
- Lead the strategy and execution of informatics and data systems supporting both discovery and pre-clinical research.
- Guide smooth transitions between discovery and pre-clinical informatics to meet evolving scientific needs.
- Partner with scientific leadership to design efficient, scalable, and fit-for-purpose data systems.
- Collaborate with scientists to gather requirements and deliver solutions that accelerate research.
- Champion organizational change, and mentor colleagues in informatics systems and best practices.
