Description :

PharmaACE is a rapidly growing global healthcare consulting firm headquartered in Princeton, New Jersey, with operations across the US, Canada, Europe, and India. We partner with leading global BioPharma and Life Sciences organizations to deliver data-driven business insights, strategic analytics, and digital solutions.

Our expertise spans Forecasting, Commercial Analytics, Competitive Intelligence, Sales Analytics, and Analytics Centre of Excellence (CoE) development, covering therapeutic areas such as Oncology, Immunoscience, CNS, CV-Met, and Rare Diseases.

Role Overview :

As an Associate Consultant / Consultant Advanced Analytics, you will manage and deliver analytical projects that drive commercial and strategic decision-making for global pharmaceutical clients.

This is a client-facing, management-oriented role combining business consulting, analytical leadership, and technical problem-solving.

You will lead analytics delivery, collaborate with global cross-functional teams, ensure project excellence, and contribute to thought leadership within PharmaACEs analytics practice.

Key Responsibilities :

Project & Stakeholder Management :

- Lead and manage end-to-end analytics projects for global pharma clients, ensuring timely delivery and quality outcomes.

- Act as the key offshore point of contact for clients and onshore stakeholders, ensuring proactive communication and solution alignment.

- Translate complex business requirements into analytical frameworks and actionable insights.

- Manage project scope, timelines, and deliverables while maintaining compliance with data privacy and regulatory standards.

Analytics Leadership & Execution :

- Analyze and interpret large, complex pharmaceutical and life sciences datasets (e.g., claims, EMR, prescription, sales, and promotional data).

- Design and implement data models and statistical approaches to support forecasting, commercial analytics, and market insights.

- Develop and validate analytical models using AI/ML algorithms and advanced data science techniques.

- Oversee data processing, cleansing, and validation to ensure analytical accuracy.

- Conduct root-cause analysis of data trends and translate findings into strategic recommendations.

Technical Enablement & Innovation :

- Guide teams on data engineering workflows, automation, and model deployment using SQL, Python, R, or ETL tools.

- Drive process automation and analytical efficiency through scripting, tool adoption, and reusable framework development.

- Stay current on emerging analytics methodologies, machine learning techniques, and life sciences data assets.

Client Engagement & Thought Leadership :

- Partner with business leaders to identify new analytical opportunities and shape engagement strategies.

- Deliver compelling presentations, dashboards, and reports to communicate insights effectively.

- Contribute to building PharmaACEs knowledge base, reusable assets, and analytics best practices.

Qualifications & Experience :

Education : Bachelors or Masters degree in Engineering, Statistics, Data Science, or a related quantitative field.

Experience : 25 years in healthcare, pharma analytics, or life sciences consulting with demonstrated project management exposure.

- Strong experience in handling pharma commercial data assets (Rx, volume/value, patient-level longitudinal datasets, etc.).

- Working knowledge of AI/ML algorithms, forecasting, and data visualization tools.

- Proficiency in SQL, Python, Excel, and PowerPoint; experience with ETL and data automation tools is a plus.

- Excellent communication, stakeholder management, and presentation skills.

- Ability to lead small teams and mentor junior analysts.