Beschreibung

In this role, you will lead a dynamic computational drug discovery team, guiding scientific direction and engaging with top pharmaceutical scientists. Your day-to-day responsibilities will involve translating customer needs into actionable insights while maintaining high scientific standards.

Anforderungen

• •PhD in computational chemistry, cheminformatics, computational drug discovery, or closely related field
• •8+ years of post-PhD industry experience in computational drug discovery or computational chemistry
• •Deep practical expertise in structure-based and ligand-based design, ADMET modeling, and integration of experimental and biophysical data
• •Exceptional understanding of modern ML approaches in drug discovery
• •Strong scientific credibility demonstrated through prior roles at leading pharma or top-tier biotech
• •Demonstrated experience leading and mentoring computational drug discovery teams
• •Comfortable operating hands-on in a fast-moving, venture-backed, remote-first environment
• •Clear motivation to enable customer drug discovery programs
• •Background as an application scientist at a leading computational chemistry or drug discovery software provider
• •Experience leading computational drug discovery teams at a TechBio or advanced biotech
• •Prior exposure to federated, multi-partner data collaborations
• •Experience shaping product direction for scientific software platforms

Aufgaben

• •Own scientific direction across modalities, data, and workflows
• •Define prioritized drug discovery problems, modalities, and data types
• •Guide the evolution of applications and models for pharma teams
• •Balance scientific ambition with practicality in customer environments
• •Build and lead a high-impact computational drug discovery team
• •Lead an established core team of experts in drug discovery
• •Hire and integrate 1–2 additional team members as demand scales
• •Set clear scientific direction and execution standards for programs
• •Engage with computational drug discovery scientists at pharmaceutical companies
• •Lead scientific discussions on program strategy and model applications
• •Provide authoritative guidance based on real-world drug discovery experience
• •Build trust through publications, talks, and community engagement
• •Strengthen Apheris’ reputation in computational drug discovery
• •Provide actionable scientific direction to application scientists and customer teams
• •Ensure recommendations reflect practical discovery program operations
• •Review and challenge analyses, models, and conclusions for scientific integrity
• •Translate customer needs into product and model requirements
• •Shape prioritization decisions based on customer impact and discovery realities
• •Act as a scientific bridge between customers and internal development teams

Tools & Technologien

Benefits