Job Description

Manager, Data Science

At our company, we are leveraging analytics and technology as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision-making that will allow us to tackle some of the worlds greatest health threats. Within our commercial Insights, Analytics, and Data organization, we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management.

Responsibilities

Responsible for one/multiple therapy areas demonstrating strong pharmaceutical knowledge and end-to-end project management capability
Conceptualize and deliver forecasts and analytical solutions, using both strategic and statistical techniques within area of responsibility
Determine the optimal forecasting method considering forecast context, data availability, desired accuracy, and timeline
Leverage machine learning algorithms, automation, and data visualization to improve forecasting processes and outputs
Drive continuous enhancements to evolve forecasting capabilities in terms of value-add, risk/opportunity/uncertainty identifying and elevating key levers, insights, and findings to inform decision-making
Drive innovation and automation to bring robustness and efficiency gains across forecasting processes; incorporate best-in-class statistical methods to improve accuracy
Contribute to evolving team offerings through innovation, standardization, and automation of models and processes
Collaborate across stakeholders Supply Chain, Human Health, our manufacturing division, Finance, Research, Country/Regional/Global Demand Planners, and senior leadership to build robust assumptions, drive centralization of forecasts, and ensure forecast accuracy improves over time
Communicate effectively and independently drive storyboarding and presentation of analytical findings and visualizations to technical, non-technical, and executive audiences
Manage delivery of forecasts and forecasting capabilities/tools in a timely manner with allocated resources
Ensure documentation is created and maintained in line with internal standards
Empower a growth mindset and inspire a culture of continual learning that strives for greater quality, efficiency, and innovation, ultimately improving team productivity and work product

Required

Engineering / Management / Pharma post-graduates with 3+ years of experience in relevant roles; with 1-2 years of experience in pharmaceutical strategic forecasting or analytics
Solid understanding of the pharmaceutical industry, including drug development, manufacturing, supply chain, marketing functions, regulatory requirements, and clinical trial data
Excellent business acumen, with the ability to understand commercial strategies at both global and region/country levels and translate these into detailed business requirements that power analytics
Strong analytical and problem-solving skills with an aptitude for strategic thinking; ability to synthesize complex information into clear and actionable insights to solve ambiguous business problems
Strategic thinker who can be consultative, collaborative, and engage as equals
Ability to manage ambiguous environments and adapt to changing business needs
Proven ability to collaborate effectively across large, diverse, and cross-functional stakeholder groups
Excellent communication skills, capable of presenting analytical findings to technical, non-technical, and executive audiences using effective storytelling grounded in insights
Working knowledge of Monte Carlo simulations and range forecasting
Proficiency in developing machine learning and descriptive algorithms using Python, R, SAS, or equivalent; ability to formulate business questions based on stakeholder insight requirements

Preferred

Demonstrated value in driving innovation and automation leveraging advanced statistical and analytics techniques; expertise in AI/ML, NLP modeling, and model evaluation is an added advantage

Required Skills:

Business Development, Business Intelligence (BI), Business Management, Clinical Trials, Commercial Strategies, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Decision Making, Drug Development, Foster Innovation, Machine Learning (ML), Pharmaceutical Development, Regulatory Requirements, Software Development, Stakeholder Relationship Management, Strategic Forecasting, Strategic Thinking, Waterfall Model

Preferred Skills:

Flexible Work Arrangements: Hybrid

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Specialist, Data Science

Job Description

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