Senior Scientist I, QSP/QST Consulting Services

<h3>Accountabilities</h3><li>Design, develop, test, and maintain computational models representing cellular, molecular, and biochemical processes relevant to drug efficacy and toxicity.</li><li>Model pharmacodynamic responses and mechanisms of action by translating experimental laboratory data into model parameters and curating clinical data for model calibration and validation.</li><li>Execute QSP/QST consulting projects using specialized modeling platforms and programming tools, including MATLAB, THALES, SimBiology, Julia, Monolix, and other relevant technologies.</li><li>Apply pharmacokinetic, pharmacodynamic, physiologically based pharmacokinetic (PBPK), and population modeling approaches to address complex drug development questions.</li><li>Contribute to research and development initiatives, including maintaining validated, license-ready models and advancing toxicology models focused on drug-induced liver injury and other adverse events.</li><li>Use AI-powered and agentic AI solutions to support scientific workflows, improve technical productivity, and enhance consulting project execution.</li><li>Coordinate project activities, define implementation plans, schedule stakeholder meetings, manage allocated resources, and deliver agreed-upon outputs within established timelines and budgets.</li><li>Identify project risks, recommend mitigation strategies, and communicate progress, technical challenges, and deliverables effectively to internal teams and external sponsors.</li><li>Lead the preparation and review of scientific reports, presentations, manuscripts, figures, and supporting documentation, ensuring technical accuracy and clear communication.</li><li>Contribute to scientific publications and collaborative research initiatives, including responding to editorial feedback and peer-review comments.</li><li>Provide technical leadership, supervise scientific work when appropriate, mentor junior scientists, and deliver training on QSP/QST methodologies and modeling platforms.</li><li>Identify opportunities to improve departmental processes, strengthen team capabilities, and support the continued growth and efficiency of consulting services.</li><h2>Requirements</h2><li>A master's degree in pharmaceutical sciences, biomedical engineering, or a related life sciences discipline is required; a PhD in a relevant field is preferred.</li><li>At least five years of QSP/QST modeling experience, or demonstrably equivalent technical expertise, is required.</li><li>Strong foundations in mathematics, dynamic systems, pharmacology, and drug development, with the ability to apply quantitative methods to complex biological and clinical questions.</li><li>General knowledge of relevant therapeutic areas, clinical endpoints, and the underlying cellular, molecular, and biochemical mechanisms.</li><li>Practical experience with one or more scientific modeling and programming environments, such as MATLAB, THALES, Julia, SimBiology, Monolix, GastroPlus™, or C++.</li><li>Experience with PBPK, pharmacokinetic (PK), population pharmacokinetic (popPK), and/or pharmacokinetic-pharmacodynamic (PK/PD) modeling.</li><li>Basic familiarity with large language models and agentic AI, with an interest in applying emerging technologies to scientific and technical workflows.</li><li>Ability to interpret experimental and clinical data, develop mechanistic models, and communicate modeling results and their implications to audiences without specialized modeling expertise.</li><li>Strong project coordination and organizational skills, including the ability to manage multiple priorities, meet deadlines, and deliver high-quality work within agreed resource constraints.</li><li>Excellent written and verbal communication skills, with experience preparing scientific reports, presentations, and research manuscripts.</li><li>A collaborative and professional approach to working with clients and colleagues, supported by a positive attitude, initiative, and the ability to work independently with minimal supervision.</li><li>Demonstrated potential to provide technical leadership, mentor less experienced scientists, and contribute to team development and process improvement.</li><li>Willingness to travel occasionally for conferences, meetings, and training.</li><h2>Benefits</h2><li>
<strong>Competitive annual salary:</strong>$120,000–$140,000, depending on qualifications and experience.</li><li>
<strong>Fully remote work:</strong>Work from a location within the United States.</li><li>
<strong>Flexible scheduling:</strong>Enjoy flexibility in organizing your work schedule.</li><li>
<strong>Generous paid time off:</strong>Access a vacation policy designed to support work-life balance.</li><li>
<strong>Health coverage:</strong>Affordable healthcare benefits to support your well-being.</li><li>
<strong>Annual bonus:</strong>Opportunity to receive additional performance-based compensation.</li><li>
<strong>Professional development:</strong>Opportunities to expand scientific expertise, develop technical leadership skills, and work with innovative modeling and AI technologies.</li><li>
<strong>Research and publication opportunities:</strong>Contribute to scientific manuscripts, collaborative research, and initiatives advancing drug development.</li><li>
<strong>Collaborative scientific environment:</strong>Work with multidisciplinary experts on meaningful pharmaceutical research and consulting projects.</li><li>
<strong>Career growth:</strong>Opportunities to mentor colleagues, lead projects, and contribute to the development of QSP/QST consulting capabilities.</li><li>
<strong>Additional benefits:</strong>A comprehensive total rewards package is available; further details may be provided during the recruitment process.</li>