Scientific Product Specialist, ADMET Predictor

Job Responsibilities

• Present ADMET Predictor to potential customers and scientific audiences
• Train users in pharmaceutical and biotech companies and develop training materials
• Answer customer inquiries regarding the application of ADMET Predictor to various drug discovery and development situations
• Contribute to increasing usage of ADMET Predictor via demonstrations to customers, user training opportunities, scientific publications and case studies
• Support the development of ADMET Predictor and its adoption by users in academia and pharmaceutical companies
• Translate user needs and scientific advances into specifications for product improvements
• Work with the development team to define and test product features
• Share applications of ADMET Predictor to real-world examples through publications, online case studies, and webinars
• Communicate our scientific vision, product roadmap, and innovations to the community
• Participate in the scientific life of the team and contribute to internal knowledge sharing
• Perform other duties as assigned

Required Qualifications

• Scientific Background: 2+ years of experience in medicinal chemistry, computational chemistry, cheminformatics, or pharmaceutical sciences
• Knowledge of ADMET properties and their role in drug discovery and development
• Excellent written and oral communication skills in English
• Comfortable presenting scientific material to different audiences
• Collaborative mindset and interest in working with software developers, scientists, and customers
• Interest in scientific software development
• Familiarity with regulatory guidelines for ADMET data in drug submissions (ICH, FDA, EMA)
• Experience using ADMET Predictor or similar in silico ADMET prediction tools
• Proficiency in scientific programming or data analysis (Python, R, or KNIME)
• Experience writing scientific publications, case studies, or tutorials
• Experience in teaching or training delivery
• Good presentation and communication skills in scientific contexts
• Experience in customer-facing scientific roles
• Customer Support Skills: Attention to detail and analytical thinking
• Team collaboration and continuous learning mindset
• Time management and ability to manage multiple tasks
• Service-oriented and patient with users of varying skill levels

Preferred Qualifications

• Scientific Knowledge: Experience using ADMET Predictor and familiarity with its prediction models
• Knowledge of cheminformatics concepts (molecular descriptors, QSAR, machine learning for ADMET)
• Experience with in vitro ADMET assays (Caco-2, hERG, CYP inhibition, metabolic stability)
• Understanding of the drug discovery pipeline from hit-to-lead to candidate selection
• Familiarity with computational chemistry tools (e.g., RDKit, Schrödinger, MOE)
• Knowledge of specific therapeutic areas (oncology, CNS, metabolic diseases)
• Technical Experience: Experience with chemical databases and structure-activity relationship (SAR) analysis
• Familiarity with cloud platforms and data management workflows
• Understanding of model validation and statistical concepts

Technical Experience

• Experience with chemical databases and structure-activity relationship (SAR) analysis
• Familiarity with cloud platforms and data management workflows
• Understanding of model validation and statistical concepts

Education

• Bachelor’s degree in medicinal chemistry, computational chemistry, cheminformatics, pharmaceutical sciences, or a related field
• Masters or PhD in medicinal chemistry, pharmaceutical sciences, cheminformatics, or a related field preferred