Simulations Plus stands as a premier provider in the biopharma sector, offering advanced software and consulting services that enhance drug discovery, development, research, clinical trial operations, regulatory submissions, and commercialization.
Our comprehensive biosimulation solutions integrate artificial intelligence/machine learning, physiologically based pharmacokinetics, physiologically based biopharmaceutics, quantitative systems pharmacology/toxicology, and population PK/PD modeling approaches.
We also deliver simulation-enabled performance and intelligence solutions alongside medical communications support for clinical and commercial drug development. Our cutting-edge technology is licensed and utilized by leading pharmaceutical, biotechnology, and regulatory agencies worldwide.
Leadership truly cares about maintaining a positive culture and employee well-being. We offer fully remote work, flexible schedules, and generous vacation policy along with affordable health coverage, annual bonus, and more! Check out how much our employees love working here: https://www.comparably.com/companies/simulations-plus.
The Scientific Product Specialist for ADMET Predictor will work closely with other members of the product enablement team, the product manager, and the software developers to help shape the future of ADMET Predictor. The role will gather user feedback, specify new features, and test them before release. The role will also contribute to increasing usage of ADMET Predictor via demonstrations to customers, user training opportunities, scientific publications and case studies.
ADMET Predictor is a powerful and industry-leading software for predicting absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties of drug candidates. This role will support the development of ADMET Predictor and its adoption by users in academia and pharmaceutical companies.
Department: Product and Technology
Internal Grade: 11
Direct Reports: No
Status: Exempt
Location: Remote
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
- 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
- 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
- Professional Skills
- Previous customer support or application scientist experience
- Technical writing or scientific publication experience
- Quality assurance and cross-functional collaboration
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
Find out more about how amazing it is to work at Simulations Plus by visiting www.simulations-plus.com/career-center and apply today!
