Responsibilities

• Engage with prospective clientsto grasp their scientific and technical needs, challenges, and goals. Use these insights to design and deliver customized product demos that highlight solution benefits.
• Translate complex scientific needs—such as requirements in biochemical analysis, molecular modeling, or drug discovery
• Collaborate with researchers and computational scientiststo help them explore how technology can support key areas like protein folding, molecular simulations, and drug discovery.
• Serve as a technical resourcefor commercial and pre-sales teams.
• Lead and oversee proof-of-concept initiativesand pilot projects with potential clients
• Gather and communicate client feedbackto product and development teams

Qualification

• MSc or PhD in Computational Biology, Computer Science or related fields, with 2+ years of industry experience
• Experience incomputational biology tasks, molecular simulations, or analyzingbiochemical data pipelines
• Used predictive biology tools, focused onprotein structure prediction orADME-tox analysis
• Client Engagement: Passionate about directly interacting with clients, understanding their challenges, and providing technical support to enhancesales outcomes
• Programming:Python proficiency is essential, and knowledge of additional languages (e.g.,R, Go, Rust, JavaScript)
• ML Implementation Experience: Practical skills in deploying ML using a range ofopen-source tool
• Cloud Platform Variety: Experience withmulti-cloud or on-premise solutions
• Distributed Systems Knowledge: Skilled in working with or deploying distributed systems