Data Science Consulting - Pharma

MathCo; North Wales (Montgomery County); On-site; USD 120,000 - 180,000; Full time

Job summary

MathCo seeks a Data Science Consultant with oncology expertise to help pharmaceutical clients address complex business challenges through data-driven insights and advanced analytics. This client-facing role requires translating strategic questions into structured analytical approaches and delivering actionable recommendations.

The ideal candidate collaborates with commercial, medical, and market access teams, guiding analytics initiatives on patient journeys, treatment pathways, LOT, brand

Qualifications

• Bachelor’s degree in a relevant field.
• Minimum of 7+ years in pharma consulting, analytics, or data science with Oncology exposure.
• Experience supporting pharmaceutical clients in commercial, medical, or market access analytics is preferred.

Responsibilities

• Bridge business questions with structured analytical approaches.
• Lead analytics initiatives on patient journeys, treatment pathways, LOT, brand performance, and market dynamics.
• Leverage real-world and secondary data to generate actionable insights for decision-making.
• Interpret outputs and contextualize findings within oncology landscape.
• Collaborate with data science, engineering, and analytics teams to deliver high-quality solutions.
• Present findings and strategic narratives to senior client stakeholders.
• Lead requirement gathering sessions and solutioning workshops in a consulting setting.
• Mentor junior team members and support cross-functional collaboration.

Skills

Oncology domain knowledge

Communication skills

Presentation skills

Analytical thinking

Client-facing experience

Storytelling

Education

Bachelor's degree

Tools

IQVIA

Truveta

EMR Data

Job description

• 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.

About Us

TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted by leading Fortune 500 and Global 2000 enterprises for data-driven decision-making. Founded in 2016, MathCo builds custom AI and advanced analytics solutions to solve enterprise challenges through its hybrid model. NucliOS, MathCo’s proprietary platform, enables connected intelligence at a lower total cost of ownership (TCO).

At MathCo, we foster an open, transparent, and collaborative culture, making it a great place to work. We provide exciting growth opportunities and value capabilities and attitude over experience, enabling our Mathemagicians to 'Leave a Mark'.

Job 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.

• 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.

Skills Required

• 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.