
Director, Intel Consulting
Posted 5 hours ago

Posted 5 hours ago
This is a fully remote position, open to applicants in United States.
• Act as the subject matter expert for Intel engagements, evaluating analytic outputs from data scientists and contractors.
• Utilize clinical and therapeutic expertise to relate findings to guidelines, labels, line-of-therapy logic, and competitive landscapes.
• Assess analyses for scientific and methodological robustness, including cohorts, endpoints, confounders, data limitations, and conclusions.
• Collaborate with data scientists to shape analyses and convert client business inquiries into scientifically valid specifications.
• Integrate quantitative findings into clear scientific and business narratives.
• Work alongside clients to identify key business questions and propose customized data-driven strategies.
• Provide consultation on launch readiness, market access, patient journeys, treatment pathways, HCP targeting and segmentation, competitive dynamics, unmet needs, evidence gaps, and patient engagement.
• Convert findings into actionable insights for both technical and non-technical stakeholders.
• Create and present client-ready presentations, reports, and visualizations.
• Keep abreast of therapeutic advancements, data sources, methodologies, and regulatory and compliance standards.
• Collaborate with Business Development on new opportunities, proposals, pitches, and scope definitions.
• Serve as a primary client-facing partner and lead or participate in Quarterly Business Reviews.
• Monitor client satisfaction and proactively address concerns to enhance retention.
• Oversee Intel engagements from start to finish, managing timelines, budgets, scope, risks, and quality.
• Coordinate with data scientists, data engineering/IT, and other Amplity business units.
• Ensure the scientific integrity of final deliverables.
• Provide scientific guidance and mentorship to data scientist contractors and analysts.
• Collaborate with Medical Affairs, MedComms, Commercial, Marketing, and external partners on integrated solutions and thought leadership.
• An advanced scientific or clinical degree is required (MS required; PhD, PharmD, MD, or equivalent preferred) in a life science, pharmacology, epidemiology, biostatistics, or related field.
• A master’s degree in a scientific discipline with significant equivalent experience will be considered.
• Over 10 years of experience in the life sciences sector, including scientific, medical, or consulting roles within pharma/biotech, a medical communications or scientific agency, Medical Affairs, HEOR/real-world evidence, or life sciences consulting.
• Proven experience in interpreting clinical, real-world, or commercial data and translating it into strategic recommendations for pharmaceutical or biotechnology clients.
• Profound therapeutic knowledge in oncology, specialty, rare, or other complex therapies is strongly preferred.
• Experience in client-facing roles, including leading engagements and establishing trusted relationships with senior client stakeholders.
• Experience guiding or closely collaborating with data scientists, biostatisticians, or technical contractors.
• Experience in supporting business development is preferred.
• Strong scientific literacy in disease state biology, treatment paradigms, clinical trial design, and the peer-reviewed evidence base.
• Familiarity with real-world data sources, including claims, EMR/EHR, specialty pharmacy, and both structured and unstructured data, along with their strengths and limitations.
• Proficiency in statistical and epidemiological concepts sufficient to critically assess analytic outputs.
• Hands-on experience with SQL, Python, R, or SAS is a plus but not mandatory.
• Comfortable using data visualization tools such as Tableau or Power BI.
• Exceptional skills in scientific storytelling and executive presentation.
• Strong organizational and project management abilities, with the capability to manage multiple engagements and meet tight deadlines.
• Experience with life sciences data and systems such as IQVIA, Komodo, Veeva, or EMR platforms is preferred.
• Knowledge of regulatory and compliance requirements governing data use and scientific communication in life sciences.
• Experience with publications, congresses, or advisory boards is preferred.
• Competitive base salary (amount not specified).
• Comprehensive benefits package.
• Generous paid time off (PTO).
• Paid holidays.
• 401(k) plan.
• Health insurance coverage.
• Vision insurance coverage.
• Dental insurance coverage.
• Long-term disability insurance.
• Short-term disability insurance.
• Life insurance coverage.
• Opportunities for professional development.
• Mentoring programs.
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