Cytel
Executive Consultant – Vice President, Quantitative Clinical Pharmacology
Be an Early Applicant
Provides executive scientific and strategic leadership in quantitative clinical pharmacology consulting. Leads Pop-PK, PK-PD, NCA, MIDD, regulatory strategy, trial design, and quantitative decision-making engagements. Develops thought leadership, manages major client relationships, supports business development, mentors quantitative teams, and collaborates with statisticians, software teams, business developers, and data scientists. The role also involves regulatory authority engagement, technical oversight, publications, presentations, and client travel.
We are seeking an Executive Consultant – Vice President of Quantitative Clinical Pharmacology to join our Strategic Consulting team. This role blends scientific leadership, strategic advisory, client relationship development, and technical excellence in population modeling and quantitative clinical pharmacology. The successful candidate will leverage both deep quantitative expertise and strong business acumen to expand Cytel’s thought leadership, drive complex consulting engagements, and guide clients in shaping optimal regulatory and clinical development pathways.
ResponsibilitiesStrategic Consulting & Thought Leadership
- Serve as an externally recognized expert in Quantitative Clinical Pharmacology, Pop-PK/PK-PD modeling, MIDD, and quantitative regulatory strategies.
- Lead the development and dissemination of innovative methodologies, contributing to Cytel’s scientific leadership through publications, conference presentations, and webinars.
- Provide high-level strategic guidance to clients on clinical development plans, regulatory and market access pathways, trial design optimization, and quantitative decision-making.
Client Engagement & Business Development
- Act as the primary point of contact for major Strategic Consulting accounts, ensuring delivery excellence and long-term partnership development.
- Identify and pursue new business opportunities across Cytel’s consulting and analytics offerings, shaping solutions that meet revenue, profitability, and client satisfaction objectives.
- Build and maintain relationships with senior stakeholders, including regulatory agencies (e.g., FDA, EMA), key opinion leaders, and executive-level client personnel.
Scientific & Analytical Leadership
- Oversee and contribute to Pop-PK and PK/PD modeling, non-compartmental analysis (NCA), and broader QPP analytical activities.
- Provide mentorship, technical oversight, and direction to consultants and analysts, building a high-performing quantitative team.
- Support non-QPP engagements when needed, such as statistical design, adaptive/Bayesian methodologies, simulation-based planning, or data science initiatives.
Cross-Functional Collaboration
- Work closely with Cytel’s business developers, statisticians, software teams, and data scientists to deliver integrated, high-value solutions.
- Represent QPP expertise within multidisciplinary engagements, ensuring strategic alignment and scientific rigor.
- Travel as required to engage with clients and internal stakeholders.
Experience
- Minimum 5+ years of hands-on QPP experience; 15+ years overall experience in consulting, clinical development, or health research preferred for VP-level responsibilities.
- Demonstrated leadership in MIDD, Pop-PK/PK-PD modeling, and quantitative strategy within drug development.
- Experience interacting with regulatory authorities and contributing to regulatory submissions is highly desirable.
Required Technical & Professional Skills
- Proven expertise in Pop-PK/PK-PD modeling, NCA, and interpretation of quantitative pharmacology results for CSR and reporting.
- Proficiency in Phoenix WinNonlin/NLME, R, and strong understanding of computational and statistical methods used in clinical development.
- Excellent technical writing, oral communication, and presentation skills; ability to clearly communicate complex quantitative concepts.
- Strong organizational, analytical, and problem-solving abilities; able to operate effectively in a fast-paced, high-growth environment.
#LI-KO1
Similar Jobs
.png)
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Define and govern enterprise-scale data architecture across batch, streaming, warehouse, lakehouse, transactional, and AI use cases. Establish standards for data quality, lineage, access, cataloging, governance, observability, and SLAs. Architect AI-enabled workflows, resolve complex architecture issues, influence roadmaps, and mentor engineers through hands-on technical leadership. The role requires 15+ years of software, data engineering, or architecture experience and expertise in large-scale data platforms and modeling.
Top Skills:
AIBatch ProcessingBigQueryData CatalogsData WarehousesDbtFeature StoresGCPLakehousesOlapOltpStreaming ArchitecturesVector Stores
eCommerce • Retail
Own long-term workforce planning and capacity strategy across Customer Success channels. Develop forecasts, staffing models, scenario analyses, dashboards, and labor investment recommendations. Analyze staffing, productivity, occupancy, shrinkage, service levels, and automation impacts. Partner with Customer Success, AI, Data, Finance, Talent Acquisition, BPO providers, and senior leadership to guide hiring, budgeting, headcount planning, and operational improvements through data-driven insights.
Top Skills:
AspectAssembledCalabrioFin AiGenesys WfmGoogle SheetsIntercomLookerExcelNice IexPostgresPower BIPower QuerySigmaSQLTableauVerint
Gaming
Develop server-side poker game features and gameplay functionality in Go for high-performance, large-scale applications. Build and integrate REST and gRPC APIs, SDKs, tools, and technologies; extend core systems; contribute to architecture, security, scalability, testing, and operations. Collaborate with engineers and cross-functional stakeholders, participate in long-term initiatives, review code, improve processes, and deliver solutions for live mobile game titles.
Top Skills:
AWSBugsnagC#DatadogDockerElkGitGoGrpcHTMLJenkinsKafkaMySQLPostgresProtobufRedisRestSplunkUnity
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
