Apheris

Director

• Own scientific direction across modalities, data, and workflows.
• Define which drug discovery problems, modalities, and data types Apheris prioritizes with our product offerings.
• Guide how applications and models should evolve to remain maximally useful to pharma teams.
• Balance scientific ambition with practicality and adoption in customer environments.
• Own the “why” and high-level structure of new scientific initiatives and proposals, while partnering closely with internal ML and science teams on detailed methodology and execution.
• Build and lead an established, growing computational drug discovery team.
• Lead a core team already in place, including a senior medicinal chemist and a forward-deployed scientist, both with top-tier academic and industry backgrounds.
• Hire and integrate 1–2 additional team members over the next 6–9 months as customer demand scales.
• Set clear direction and execution standards across all customer-facing programs.
• Oversee scientific quality and program enablement rather than personally owning detailed technical implementation.
• Act as the senior counterpart to pharma R&D leaders.
• Engage comfortably and credibly with leading computational drug discovery scientists at large pharmaceutical companies.
• Lead deep scientific discussions on program strategy, model application, and decision-making trade-offs.
• Provide authoritative guidance grounded in real-world drug discovery experience.
• Serve as the visible scientific face to customers, including at senior leadership level.
• Represent Apheris in the ecosystem.
• Build trust and credibility through talks and direct engagement with the community.
• Strengthen Apheris’ reputation as a serious, neutral partner for computational drug discovery.
• Contribute to strategic narratives around why federated and AI-driven approaches enable better drug programs, supported by internal ML and science teams for technical manuscript writing.
• Oversee and challenge program-level recommendations to ensure strategic alignment and scientific rigor.
• Drive hands-on scientific leadership across customer programs.
• Give concrete, actionable scientific direction to application scientists and customer teams.
• Ensure recommendations reflect how discovery programs are actually run, not theoretical workflows.
• Review and challenge analyses, models, and conclusions to maintain a high scientific bar.
• Partner closely with Product and ML/AI teams.
• Translate customer needs and scientific insight into clear product and model requirements.
• Shape prioritization decisions by grounding them in customer impact and discovery realities.
• Act as a scientific bridge between customers and internal development teams.

Senior Director, Computational Drug Discovery

• Own scientific direction across modalities, data, and workflows.
• Define which drug discovery problems, modalities, and data types Apheris prioritizes with our product offerings.
• Guide how applications and models should evolve to remain maximally useful to pharma teams.
• Own the “why” and high-level structure of new scientific initiatives and proposals, while partnering closely with internal ML and science teams on detailed methodology and execution.
• Build and lead an established, growing computational drug discovery team.
• Lead a core team already in place, including a senior medicinal chemist and a forward-deployed scientist, both with top-tier academic and industry backgrounds.
• Set clear direction and execution standards across all customer-facing programs.
• Oversee scientific quality and program enablement rather than personally owning detailed technical implementation.
• Engage comfortably and credibly with leading computational drug discovery scientists at large pharmaceutical companies.
• Lead deep scientific discussions on program strategy, model application, and decision-making trade-offs.
• Serve as the visible scientific face to customers, including at senior leadership level.
• Build trust and credibility through talks and direct engagement with the community.

Product Designer

• Own the end-to-end UX and UI design across multiple Apheris products, with a strong focus on usability for drug discovery scientists
• Work closely with the Product team and scientific stakeholders to translate product strategy, user needs, and technical constraints into effective design solutions
• Develop wireframes and quick prototypes to test concepts with external users and domain experts, and iterate rapidly based on feedback
• Design and refine production-ready interfaces that balance scientific complexity with clarity and ease of use
• Actively engage with users to understand their workflows and validate design decisions
• Contribute to the design of flagship applications such as ApherisFold, new products in the ADMET space, other external-facing technical tools, and the Apheris website
• Continuously evaluate and improve the user experience through testing, iteration, and close collaboration with product, engineering and science teams

Senior Product Designer

Full-stack Engineer

• Design, build, and maintain backend services and APIs, primarily in Golang, with Python used where it best fits the problem domain.
• Develop, deploy, and operate software across both cloud and on-premise environments, leveraging Docker and Kubernetes as core platform technologies.
• Collaborate closely with cross-functional teams across engineering, quality, and product to deliver cohesive, end-to-end product functionality.
• Take end-to-end ownership of features, from technical design and implementation through deployment, monitoring, and ongoing operation in production.
• Contribute to system design and architectural discussions, helping evolve backend and platform components as the product and customer base scale.
• Write high-quality, maintainable, and well-tested code, and actively participate in code reviews to uphold strong engineering standards.
• Improve reliability, performance, security, and observability of services running in distributed and resource-intensive environments.
• Debug and resolve issues across application code, containerized workloads, and infrastructure layers in both customer and internal environments.
• Continuously look for ways to improve development efficiency and software quality by adopting better tooling, workflows, and emerging technologies - including experimenting with modern developer tools and AI-assisted workflows where they add real value.
• Stay curious and proactive about learning new approaches, technologies, and best practices, and apply them pragmatically in a fast-moving startup environment.

Senior Director, Computational Drug Discovery

Senior Director, Computational Drug Discovery

Senior Product Designer

Senior Software Engineer