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., Lead a core team already in place, including a senior medicinal chemist and a forward-deployed scientist., Hire and integrate 1–2 additional team members over the next 6–9 months as customer demand scales., Set clear scientific direction and execution standards across all customer-facing programs., 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., Build trust and credibility through publications, talks, and direct engagement with the community., Strengthen Apheris’ reputation as a serious, neutral partner for computational drug discovery., 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., 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.
