Forecasting Consultant (Oncology/Epidemiology)

Berkeley Heights, NJ

Full Time

Axtria Inc

Mid Level

Introduction

Axtria is a leading global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.

Since our founding in 2010, innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsIQ™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable clients to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations. We work with over 100 Life Sciences companies, many with multiple engagements globally across 75+ countries. We continue to win industry recognition for growth and are featured in some of the most aspirational lists – INC 5000, Deloitte FAST 500TM, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards.

Axtria is looking for exceptional talent to join our rapidly growing global team. People are our biggest perk! Axtria is recognized for its organizational culture in both US and India, including certification by the Great Place to Work® Institute. Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry. Axtria Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment. A customized career progression plan ensures every Axtrian is setup for success and able to do meaningful work in a fun environment. We want our legacy to be the leaders we produce for the industry. Will you be next?

Position Description: We are seeking an experienced Forecasting Consultant to join our Decision Science practice, specializing in Oncology and Epidemiology-based patient forecasting to support strategic decision-making for Biopharma clients.

Required Skills/Experience

2-3 years of experience in Oncology / Epidemiology-based forecasting and commercial analytics to address complex business challenges in the biopharma industry.
Hands-on experience developing inline and pipeline forecasts, BD&L evaluations, and launch planning models, integrating real-world data and scenario analyses to inform commercial strategy.
Proven expertise in patient-level forecasting methodologies, including patient journey modeling, disease progression, and market event impact simulations (e.g., new launches).
Independently build patient models based on prevalence or incidence, utilizing data from public sources, literature reviews, primary market research, and secondary datasets.
Conducted in-depth secondary research analysis and managed forecasting models and associated operations.
Proficient in Excel and VBA, with programming experience in at least one language to handle and synthesize large datasets effectively.
Familiarity with key industry datasets, including IQVIA (Xponent, NPA, NSP, 867) and claims data, is essential.
Lead the development of client deliverables, including presentations, insights, and strategic recommendations.

Logistics and Location:

We are hiring for Berkeley Heights, NJ / Thousand Oaks, CA.
U.S. Citizens and those authorized to work in the U.S. are encouraged to apply.
Flexibility to travel and/or relocate within the US as per project requirements.

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Do you have at least 2 years of hands-on experience in Oncology and/or Epidemiology-based patient forecasting within the biopharma industry?*

Have you worked on developing both inline (marketed) and pipeline (pre-launch) forecasts, including BD&L (Business Development & Licensing) evaluations or launch planning models?*

Have you built patient journey models capturing disease progression, treatment flow, or impact of market events (like new drug launches)?*

Are you familiar with IQVIA datasets (e.g., Xponent, NPA, NSP, 867) or other real-world/claims data sources used in forecasting?*

Have you conducted secondary research analysis and independently built or maintained forecasting models (without constant supervision)?*

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Forecasting Consultant (Oncology/Epidemiology)

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