Cientista de Dados Pleno enhancing CRM performance through data analysis and predictive modeling. Collaborative role directly impacting client success with actionable insights.
About the role
- Associate Director responsible for developing insights based on analytics to inform commercial strategies at a pharmaceutical company. Collaborating with teams to translate data into actionable business strategies.
Responsibilities
- Translate business needs and priorities to build analytical plans that answer business questions by providing actionable insights.
- Effectively communicating advanced analytics to stakeholders to inform business decisions.
- Communicate & collaborate effectively with cross functional teams with competencies in market research, forecasting, commercial analytics, data science, customer engagement, data strategy, population health, competitive insights, marketing operations, medical & clinical backgrounds.
- Analyze data across disparate databases/sources (including claims/EMR Data and other sources) to develop insights that inform commercial business strategies.
- Stay current with industry trends and advancements in analytical methodologies to bring new ideas forward (including application of GenAI) that will enhance analytic capabilities of the organization.
- Contribute to innovative experiments , specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria to make meaningful improvements to the business processes and strategies.
- Derive actionable business insights from various data sources, develop clear data story, and communicate effectively to business stakeholders.
- Lead and mentor a team of data scientists and business analysts (on-shore and off-shore), providing guidance on best practices in data analytics, modeling and data visualization, through the scope of a project.
- The individual in this role will be an independent contributor or lead a small team, supporting commercial insight and analytics needs for US marketing teams.
Requirements
- 5+ years of relevant experience delivering complex analytical projects in the pharmaceutical, biotech, consulting, or healthcare industry.
- Knowledge in mining patient medical claims/EMR data with a strategic mindset and proven record of being able to produce actionable business insights that drive positive commercial results.
- Self-motivated, proactive mindset, and ability to work independently.
- Story-telling and executive presence with senior leaders.
- Effective interpersonal skills, communication skills, and stakeholder management, including experience collaborating in a matrixed organization and ability to align stakeholders on data-driven decisions.
- Strong business acumen and consultative skills, with proven ability to comprehend business processes and commercial strategies in detail and translate these into detailed business standards/questions that power analytics.
- Effective organizational and project management skills to work effectively across the organization and manage a team of business analysts and data scientists efficiently and effectively.
- Innovative thinking with affinity toward experimentation and appropriate risk-taking, including curiosity about how agentic AI and automation can enhance commercial analytics and insight generation.
- Awareness of the opportunities, limitations, and responsible use of AI (including agentic AI) in a regulated environment (e.g., data privacy, validation of AI-generated outputs).
- Prior hands-on experience working with healthcare data especially EMR/EHR, Claims Data (i.e. IQVIA APLD) and various data offerings.
- Ability to develop efficient programming code and software assets that provide advanced analytical functionality.
- Proven data science experience leveraging advanced statistical methods, Machine Learning/ Artificial Intelligence, Natural Language Processing (NLP) modeling and model evaluation is a plus.
- Knowledge of both machine learning and descriptive algorithms/modeling using such languages as Python, R studio, SAS, SQL etc.
- Understands the business context, challenge, limitation, constraints and goals to effectively match the capability of the statistical and mathematical and M/L approaches to the business, scientific and operational challenge.
Benefits
- medical, dental, vision healthcare and other insurance benefits (for employee and family)
- retirement benefits, including 401(k)
- paid holidays
- vacation
- compassionate and sick days
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