Scientist II, QSP/QST Consulting Services

Accountabilities

• Scientific Modeling and Simulation: Design, develop, test, and maintain computational submodels representing cellular, molecular, and biochemical processes. Apply QSP and QST methodologies to investigate drug pharmacodynamics, mechanisms of action, and potential toxicological effects.

• Data Integration and Model Validation: Translate laboratory and experimental findings into model parameters, curate clinical datasets, and support model calibration and validation to improve the reliability and scientific relevance of simulation results.

• Consulting Project Delivery: Contribute to the successful execution of client projects by completing assigned technical activities, coordinating with internal and external collaborators, and delivering high-quality scientific outputs within agreed timelines and project budgets.

• Software Development and Technical Implementation: Apply programming and modeling tools, including MATLAB, THALES, Julia, SimBiology, Monolix, and other relevant technologies, to develop scripts, maintain model components, and support technical consulting deliverables.

• Research and Development: Participate in R&D initiatives, maintain production-ready and license-ready model versions, and contribute to the ongoing development of QST models, including research related to drug-induced liver injury.

• Scientific Communication and Publications: Prepare and review technical reports, presentations, figures, and scientific documentation. Contribute to joint manuscripts, journal submissions, and correspondence with editors and peer reviewers while responding constructively to scientific feedback.

• Project Coordination and Planning: Organize project activities, schedule meetings, develop plans for completing assigned tasks, and manage workload in line with contractual commitments and allocated resources.

• Emerging Technology Adoption: Learn and apply agentic AI solutions to support technical work, improve research efficiency, and enhance modeling and simulation workflows.

• Knowledge Sharing and Collaboration: Share expertise in QSP/QST methodologies and modeling tools, support colleagues' development, and contribute to a collaborative scientific environment. Take the lead on consulting projects when technical proficiency, project management experience, and project availability permit.

Requirements

• Education: A master's degree in pharmaceutical sciences, biomedical engineering, or a related scientific discipline is required. A PhD in pharmaceutical sciences, biomedical engineering, or a related field is preferred.

• Relevant Experience: At least two years of experience in QSP/QST modeling, or demonstrated equivalent technical capabilities.

• Scientific Knowledge: Strong foundation in mathematics, dynamic systems, and drug development, with a general understanding of relevant therapeutic areas, clinical endpoints, cellular and molecular biology, and biochemistry.

• Modeling and Programming Skills: Experience with one or more of the following tools and technologies: MATLAB, THALES, Julia, SimBiology, Monolix, GastroPlus™, or C++.

• Pharmacokinetic Modeling: Experience with physiologically based pharmacokinetic (PBPK), pharmacokinetic (PK), population pharmacokinetic (popPK), or pharmacokinetic/pharmacodynamic (PK/PD) modeling is desirable.

• AI and Computational Tools: Basic familiarity with large language models and agentic AI, along with an interest in applying emerging technologies to scientific research and technical workflows.

• Analytical and Problem-Solving Skills: Ability to interpret complex scientific data, develop quantitative models, and apply modeling and simulation techniques to address drug development challenges.

• Communication Skills: Strong written and verbal communication abilities, including the capacity to prepare clear scientific reports, deliver effective presentations, and collaborate with colleagues and clients.

• Organization and Accountability: Strong time management, organizational, and multitasking skills, with the ability to manage competing priorities and deliver accurate work with minimal supervision.

• Teamwork and Professionalism: A proactive, self-motivated approach, a positive attitude, and the ability to work effectively in multidisciplinary teams.

• Additional Requirements: Willingness to travel occasionally for scientific conferences, meetings, and training.

Benefits

• Competitive Salary: Annual salary range of $110,000–$130,000, depending on qualifications and experience.

• Remote Work: Fully remote position offering flexibility to work from home within the United States.

• Flexible Scheduling: Flexible work arrangements designed to support productivity and work-life balance.

• Annual Bonus: Eligibility for an annual bonus, subject to applicable program terms.

• Healthcare Coverage: Access to affordable health insurance options.

• Paid Time Off: Generous vacation policy to support rest and personal well-being.

• Professional Development: Opportunities to expand expertise in computational pharmacology, toxicology modeling, drug development, and scientific consulting.

• Research and Innovation: Exposure to advanced scientific software, AI-enabled solutions, multidisciplinary research initiatives, and collaborative pharmaceutical development projects.

• Scientific Career Growth: Opportunities to contribute to publications, develop technical leadership skills, and progress toward leading consulting engagements.

• Supportive Work Environment: A collaborative culture that values scientific excellence, employee well-being, and continuous learning.