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# Data Science - Pharma Consulting

- **Company:** TheMathCompany Inc.
- **Location:** North Wales, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Visualization
- **Published:** September 15, 2026
- **Apply:** https://www.careerjet.com/job/us8965958ebcad15446d4b6d83b9c52312/eaa

## About the Role

* Bachelor's degree in a relevant field. Years of Experience

Minimum of 7+ years in relevant experience in pharma consulting, analytics, or data science, with significant exposure to Oncology.

 * Experience supporting pharmaceutical clients in commercial, medical, or market access analytics initiatives is highly preferred.

Please take a moment to review the job description before applying. We encourage applications only from candidates whose experience closely aligns with the role requirements., * Strong understanding of the oncology therapeutic area, including patient pathways, disease progression, treatment regimens, and evolving standards of care.

 * Familiarity with concepts such as Line of Therapy (LOT), biomarker testing, treatment sequencing, patient adherence, and clinical outcomes
 * Knowledge of oncology commercial use cases including brand performance, patient analytics, forecasting, opportunity assessments, and competitive landscape evaluation.
 * Understanding of payer dynamics, reimbursement considerations, and market access strategies in oncology is preferred.

Pharma Data Expertise
Experience working with pharmaceutical datasets, including:

 * Claims and EMR data (IQVIA, Symphony, Komodo, Truveta, Flat iron)
 * Rx data (IQVIA NPA, NBRx,TRx)Sales and promotional data
 * Epidemiology and patient-level data
 * Market access and payer datasets (MMIT, Fingertip Formulary, DRG Access & Reimbursement)

Consulting & Analytical Skills

 * Strong consulting mindset with the ability to structure ambiguous business problems into actionable analytical approaches.
 * Excellent communication, storytelling, and executive presentation skills.
 * Ability to synthesize complex analyses into meaningful business recommendations.
 * Experience working in client-facing consulting engagements and managing stakeholder relationships.
 * Familiarity with analytical and visualization tools is preferred, though deep hands-on technical expertise is not required.

## Description

We are seeking a Data Science Consultant with expertise in Oncology to help pharmaceutical clients address complex business challenges through data-driven insights and advanced analytics. This role requires a strong blend of oncology domain knowledge, consulting capabilities, stakeholder management, and analytical problem-solving skills.
The ideal candidate will act as a bridge between business stakeholders and analytics teams, translating strategic questions into structured analytical approaches, guiding solution development, and synthesizing insights into actionable recommendations. The role is highly client-facing and requires the ability to navigate ambiguity, frame business problems, and influence decision-making through compelling storytelling.
Roles & Responsibilities

 * Partner with commercial, medical, market access, and brand stakeholders to understand oncology-related business challenges and translate them into analytical workstreams.
 * Develop and guide analytics initiatives focused on patient journey, treatment pathways, line of therapy (LOT), brand performance, opportunity assessment, competitive intelligence, and market dynamics.
 * Leverage real-world data and secondary data assets to generate actionable insights that support business decision-making.
 * Interpret analytical outputs and contextualize findings within the oncology treatment landscape.
 * Collaborate with data science, engineering, and analytics teams to ensure successful execution and delivery of high-quality solutions.
 * Present findings, recommendations, and strategic narratives to senior client stakeholders.
 * Drive problem-solving discussions, requirement gathering sessions, and solutioning workshops in a consulting environment.
 * Contribute to thought leadership, capability development, and best practices within the oncology analytics space.
 * Mentor junior team members and support cross-functional collaboration to deliver impactful outcomes.