Inizio Engage · 4 months ago
Hub Decision Science Manager
Yardley, Pennsylvania
Full-time
Onsite
Mid, Senior Level
$105K/yr - $125K/yr
5+ years expinizioengage is focused on driving analytics initiatives within the pharmaceutical sector. The Hub Decision Science Manager will lead analytics projects, collaborate with internal stakeholders, and support team development while ensuring timely project delivery and client satisfaction.
CommercialHealth CareHospital
Responsibilities
Demonstrated expertise in one pillar and a clear understanding and cross trained within a second pillar (Customer, Performance, Promotion, Relationship) with experience in how these pillars apply to Pharmaceutical Hub analytics
Support 1-5 project work streams, creating a healthy environment for team collaboration and personal growth and client satisfaction
Supports client-facing leads in the execution of project deliverables
Takes ownership of project timelines, from initial design through execution, ensuring timely project delivery, and collaborating effectively across functions to achieve successful project outcomes
Utilize creative, critical thinking and business conceptualization abilities to design and execute analytic projects
Self-manage and/or lead decision support analysts in the design and execution of projects
Anticipates needs and influences direction of client projects
Able to set and manage ongoing client expectations on the process/goals effectively deliver projects
Able to design workshops and facilitate segments of a workshop
Anticipates unmet needs and proactively raises them to extend current project or initiate a new ones
Execute targeting activities autonomously at the direction of senior members of Propensity4 including deciling/cohorting in line with Propensity4 approved methodologies
Act as a key point of contact for internal stakeholders in our Pharmaceutical Hub analytics practice
Strong focus on supporting the health and wellbeing of the team
Possesses a strong base of knowledge in Hub capabilities and Propensity4 methodologies and actively works to build a broader knowledge base within Propensity4
Development and implementation of retention strategies to minimize attrition
Building a supportive and caring team culture, recognizing success, and driving Engagement
Responsible for supporting team member professional development
Timely and consistent performance management
Collaborates with peers to foster an inclusive, high performance culture
Knowledge of different types of predictive models, including linear regressions, logistic regressions, experience in segmentations is a plus
Has a working knowledge of Pharmaceutical Hubs
Solid base of understanding of payer coverage, benefit verification, prior authorizations, and co-pay programs
Insight into field reimbursement and patient support program analytics
Have experience with data integration and development of derived secondary and predictive metrics that are related to business questions
Demonstrated experience in producing clean dashboards and reports for operations, brand, or field teams
Proficient with advanced analytics tools and techniques such as SAS, SQL. Experience with R and/or Python preferred
Proficient in business intelligence tools such as Tableau, Qlik, PowerBi, etc
Qualification
Required
Demonstrated expertise in one pillar and a clear understanding and cross trained within a second pillar (Customer, Performance, Promotion, Relationship) with experience in how these pillars apply to Pharmaceutical Hub analytics
Support 1-5 project work streams, creating a healthy environment for team collaboration and personal growth and client satisfaction
Supports client-facing leads in the execution of project deliverables
Takes ownership of project timelines, from initial design through execution, ensuring timely project delivery, and collaborating effectively across functions to achieve successful project outcomes
Utilize creative, critical thinking and business conceptualization abilities to design and execute analytic projects
Self-manage and/or lead decision support analysts in the design and execution of projects
Anticipates needs and influences direction of client projects
Able to set and manage ongoing client expectations on the process/goals effectively deliver projects
Able to design workshops and facilitate segments of a workshop
Anticipates unmet needs and proactively raises them to extend current project or initiate a new ones
Execute targeting activities autonomously at the direction of senior members of Propensity4 including deciling/cohorting in line with Propensity4 approved methodologies
Act as a key point of contact for internal stakeholders in our Pharmaceutical Hub analytics practice
Strong focus on supporting the health and wellbeing of the team
Possesses a strong base of knowledge in Hub capabilities and Propensity4 methodologies and actively works to build a broader knowledge base within Propensity4
Development and implementation of retention strategies to minimize attrition
Building a supportive and caring team culture, recognizing success, and driving Engagement
Responsible for supporting team member professional development
Timely and consistent performance management
Collaborates with peers to foster an inclusive, high performance culture
Knowledge of different types of predictive models, including linear regressions, logistic regressions, experience in segmentations is a plus
Has a working knowledge of Pharmaceutical Hubs
Solid base of understanding of payer coverage, benefit verification, prior authorizations, and co-pay programs
Insight into field reimbursement and patient support program analytics
Have experience with data integration and development of derived secondary and predictive metrics that are related to business questions
Demonstrated experience in producing clean dashboards and reports for operations, brand, or field teams
Proficient with advanced analytics tools and techniques such as SAS, SQL
Proficient in business intelligence tools such as Tableau, Qlik, PowerBi, etc
5-8 years of experience in Pharmaceutical Analytics capabilities including payer analytics, pharma marketing analytics, commercial operations, or analytics consulting
2-5 years of direct experience with pharma hub programs, especially in roles tied to Patient access analytics, operational performance of patient support programs, or adherence and persistence modeling
Must exhibit strong communication skills with resounding abilities in connecting data and analytic techniques to related business questions
Required to have experience with data integration and development of derived secondary and predictive metrics that are related to business questions
Strong in SAS, R, Python, and Excel
Must be able to work with large datasets in different formats
Must be able to analyze data and turn it into actionable business insights and strategies
Must be a proactive and critical thinker who can take initiatives and reveal trends and patterns in data
Ability to present findings to a non-technical audience
Strong attention to detail and documentation
Excellent oral and written communication skills
Self-starter who can work in a fast-paced, entrepreneurial environment and ability to adapt to change
Preferred
Master's Degree in Statistics, Mathematics, Economics, Engineering, or other quantitative discipline is preferred
Experience with R and/or Python preferred
Experience with VBA is a plus
Expertise with different types of predictive models, including linear regressions, logistic regressions, experience in segmentations is preferred
Benefits
Flexible benefits
Personal support
Tailored learning and development opportunities
Company
Inizio Engage
Inizio Engage is a healthcare agency that provides decision optimization, experience design, patient solutions, and medical affairs.
5001-10000 employees
Funding
Current Stage
Late StageLeadership Team
Adam Nguyen, MBA
Senior Partner, People & Culture
JESSICA BENNETT, MBA, SHRM-CP
People and Culture Partner
Recent News
2025-08-19
Company data provided by crunchbase