Associate- Decision Science

Position Summary 

This role will be responsible for developing commercial forecasts for pipeline and launching products as well as completing opportunity assessments for life cycle management. This role brings specific therapeutic area in-depth expertise, analytical instinct, strategic thinking, and project management skills to communicate the value assessment of new assets and flag appropriate risks and opportunities

Job Responsibilities 

- Build realistic, transparent, and assumption-driven demand forecasts. Challenge assumptions and apply forecasting methodologies to support the brand strategy
- Prepare robust forecast assumptions leveraging expertise and analogs from the in-line Forecasting team and research from the Insights and Analytics team
- Ensure objectivity of brand/therapeutic area forecasts by establishing objectives aligned around forecast accuracy
- Developing brand volume forecasts, both short-term and long-term, to feed into strategic and operational planning processes
- Ensure that value assessment addresses the impact of key market dynamics and internal events, is logically designed and well-documented
- Support launch preparations and guide the teams to set up clear post-launch performance tracking by creating and monitoring the short-term revenue forecasts, comparable to actuals in the future, and recommending adjustments when applicable
- Consistent delivery of analytics that drive informed decision-making, including the definition and development of models to be used in answering business and operational questions
- Adopting and executing new and innovative analytics offerings for untapped opportunities; Enabling automation of routine measurements
- Perform ad-hoc queries for leadership across all functions; be an internal expert and resource
- Maintaining accountability for high quality, timely service delivery of forecasting analytic service requests, including requests for solutions requiring sophisticated statistical and machine learning approaches

Education 

Bachelor of Engineering in Statistics

Work Experience 

- 4-6 years of experience in Experience working with Life Sciences companies in pharmaceutical forecasting (in branded business)/ data analytics; experience supporting both pipeline and marketed product(s) preferred; experience in Specialty or Rare Disease, preferred
- Expertise with a variety of modeling techniques including statistical, patient-flow, simulations, agent-based, and other systems dynamics-based techniques
- Manage & develop patient/epidemiology-based forecasting models for pharma clients
- Project Manager who can lead enablement of global life sciences companies to manage forecasting and/or data & analytics function through Axtria solutions and innovative methodologies
- EPI-based Forecasting for Inline, Pipeline, and BD&L Products/ Brands. Trend-Based Forecasting Experience
- Experience supporting multiple markets globally, Region, and countries. A deeper understanding of disease and Therapy Areas and their application to forecast
- Expertise in handling datasets - IQVIA, Evaluate, IPD, Kantar, DRG etc. Proven experience working with pharmaceutical datasets (Rx, APLD, etc)
- Effective forecast storyboarding, capturing key insights backed by relevant data and Quantitative Analytics, Business Analysis and Analog Analysis

Behavioural Competencies 

Teamwork & Leadership

Motivation to Learn and Grow

Ownership

Cultural Fit

Project Management

Communication

Technical Competencies 

Python

R

SQL

EXCEL

MMx

Forecasting

Machine Learning

Pharma Commercial Know How

HEOR EPI and Economic Analysis

HEOR Simulation Analysis

Patient Data Analytics Know How

Dataiku

KNIME

Others