Director, Intel Consulting - Remote Eastern

Key Responsibilities

Scientific Interpretation of Data Science Outputs

• Serve as the subject matter expert (SME) for Intel engagements, reviewing analytic outputs from data scientists and contractors to determine what the data does and does not show.
• Apply clinical and therapeutic knowledge to contextualize findings, such as whether observed treatment patterns align with guidelines, label, line-of-therapy logic, or the competitive landscape.
• Pressure-test analyses for scientific and methodological soundness, including cohort definitions, endpoints, confounders, data limitations, and the appropriateness of conclusions drawn.
• Partner with data scientists upstream to frame analyses correctly, translating client business questions into scientifically sound analytic questions and specifications.
• Synthesize complex quantitative findings into a coherent scientific and business narrative.

Consulting on Client Key Business Questions

• Collaborate with clients to define the key business questions behind each engagement and recommend tailored, data-driven approaches.
• Consult on the application of insights to real-world use cases, including launch readiness, market access, patient journey and treatment pathway mapping, HCP targeting and segmentation, competitive dynamics, unmet need and evidence gap identification, and patient engagement.
• Translate findings into clear, actionable recommendations for both technical and non-technical stakeholders, from Medical Affairs and HEOR to Brand, Commercial, and executive audiences.
• Develop and deliver client-ready presentations, reports, and visualizations that tell a scientifically rigorous and commercially relevant story.
• Stay current on therapeutic area developments, emerging data sources and methodologies, and regulatory and compliance requirements affecting the use of real-world data in life sciences.

Client Partnership & Growth

• Partner with BD to secure new business opportunities and expand existing relationships, providing scientific credibility in pitches, proposals, and scoping discussions.
• Serve as a primary client-facing partner on assigned accounts, ensuring alignment with client goals and expectations.
• Lead or contribute to client Quarterly Business Reviews (QBRs), using engagement results to identify follow-on questions and opportunities for continued partnership.
• Monitor client satisfaction and proactively address issues to drive long-term retention.

Engagement Leadership & Delivery

• Lead Intel engagements from initiation to completion, ensuring timelines, budgets, scope, and quality standards are met.
• Coordinate across data scientists, data engineering/IT, and other Amplity business units to align on project goals and deliverables.
• Monitor timelines, manage risks, and communicate progress clearly to clients and internal stakeholders.
• Own the scientific quality of final deliverables before they reach the client.

Team Leadership & Collaboration

• Provide scientific direction and mentorship to data scientist contractors and analysts, helping them understand the clinical context behind the questions they are answering.
• Collaborate with Medical Affairs, MedComms, and Commercial colleagues across Amplity to bring connected, One Amplity solutions to clients.
• Partner with Marketing to shape Intel thought leadership, case studies, and client outreach that showcase AnswerY's scientific value.

Qualifications

Education & Experience

• Advanced scientific or clinical degree required (MS required, PhD, PharmD, MD, or equivalent preferred) in a life science, pharmacology, epidemiology, biostatistics, or related discipline.
• 10+ years of experience in the life sciences industry, 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.
• Demonstrated experience interpreting clinical, real-world, or commercial data and translating it into strategic recommendations for pharmaceutical or biotechnology clients.
• Deep therapeutic expertise in oncology, specialty, rare, or other complex therapies strongly preferred.
• Proven client-facing experience, including leading engagements and building trusted relationships with senior client stakeholders.
• Experience guiding or working closely with data scientists, biostatisticians, or technical contractors.
• Experience supporting business development (proposals, pitches, scoping) preferred.

Skills

• Strong scientific literacy across disease state biology, treatment paradigms, clinical trial design, and the peer-reviewed evidence base.
• Working knowledge of real-world data sources (e.g., claims, EMR/EHR, specialty pharmacy, structured and unstructured data) and their strengths and limitations.
• Fluency in statistical and epidemiological concepts sufficient to critically evaluate analytic outputs.
• Hands-on proficiency in SQL, Python, R, or SAS is a plus but not required.
• Comfort working with data visualization platforms (e.g., Tableau, Power BI) to review and communicate findings.
• Exceptional scientific storytelling and executive presentation skills, with the ability to make complex data clear, credible, and actionable.
• Strong organizational and project management skills, with the ability to balance multiple engagements and deliver under tight deadlines.

Preferred Qualifications

• Experience with life sciences data and systems (e.g., IQVIA, Komodo, Veeva, EMR platforms).
• Familiarity with regulatory and compliance requirements governing the use of data and scientific communication in life sciences.
• Publication, congress, or advisory board experience.