Data Scientist (Pharma)

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.

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 highly experienced Data Science - Pharma Consultant with strong pharmaceutical commercial analytics expertise to partner with leading life sciences clients in solving complex business challenges through data-driven insights and strategic consulting.

The ideal candidate will bring a blend of strategy consulting experience, pharmaceutical domain expertise, stakeholder management capabilities, and analytics acumen. This individual will serve as a trusted advisor to senior commercial and marketing stakeholders, translating business challenges into analytical frameworks, driving insight generation, and influencing strategic decision-making.

This is a highly visible client-facing role that requires strong executive communication, problem-solving, and storytelling skills.

Your responsibilities will include:

• Partner with senior commercial, marketing, and brand stakeholders to understand strategic business objectives and translate them into analytics-driven solutions.
• Lead client engagements focused on pharmaceutical commercial analytics and business performance improvement.
• Structure ambiguous business problems and define analytical approaches to address key strategic questions.
• Drive discussions with senior client stakeholders and facilitate solutioning workshops, business reviews, and strategic planning sessions.
• Collaborate with data science, analytics, and engineering teams to ensure high-quality solution delivery.
• Develop compelling insights and business narratives that drive actionable recommendations.
• Present findings and strategic recommendations to executive leadership and cross-functional teams.
• Guide teams in identifying opportunities for advanced analytics, predictive modeling, segmentation, and commercial optimization.
• Mentor junior consultants and analytics team members while fostering a collaborative problem-solving culture.
• Contribute to capability building, thought leadership, and best practices within the life sciences analytics practice.

Skills Required

Pharmaceutical Commercial Analytics

Strong understanding of pharmaceutical commercial business processes and market dynamics.

Deep expertise in:

• Brand Analytics
• Patient Analytics
• Commercial Analytics
• Market Performance Analytics
• Customer Segmentation and Targeting
• Omnichannel and Promotional Effectiveness Analytics
• Patient Journey Analytics
• Launch and Lifecycle Analytics

Ability to connect analytical insights with business impact and strategic recommendations.

Experience partnering with marketing, brand, and commercial excellence teams.

Consulting Experience

Strong consulting toolkit including:

• Problem structuring
• Executive stakeholder management
• Strategic storytelling
• Client engagement leadership
• Proven ability to manage relationships with multiple senior stakeholders and influence decision-making.

Technical & Analytics Expertise

• Strong understanding of advanced analytics methodologies and their application in pharmaceutical business problems.

Experience working with pharmaceutical commercial datasets, including:

• Prescription and sales data
• Claims and EMR data
• Patient-level data
• Market access and payer data
• Customer engagement data

Ability to interpret complex analytical outputs and translate them into executive-level recommendations.

• Familiarity with analytics and visualization tools such as SQL, Python, R, Tableau, Power BI, or equivalent is preferred.
• Hands-on coding expertise is not mandatory; however, candidates should possess strong analytics interpretation and solution-design capabilities.

Role

• Data Science - Pharma Management Consultant

Education / Qualification

• Bachelor's degree in Life Sciences, Engineering, Statistics, Economics, Business, Mathematics, Analytics, or related discipline.
• Master's degree, MBA, PhD, or equivalent advanced qualification preferred.
• 10 to 14 years of experience in pharmaceutical consulting, commercial analytics, data science consulting, or related life sciences advisory roles.
• Demonstrated experience leading client-facing engagements and managing executive stakeholder relationships.

Location

• Anywhere in Bay Area