BIA- Data Science Associate Director - Respiratory

MSD • North Wales, PA

1d • Hybrid

About The Position

We are seeking growth and improvement minded Data Science & Business Analytics Associate Directors that can help drive our Strategic Operating Priorities. The Data Science & Business Analytics Associate Director role will partner with the Digital Human Health (DHH) area to use and apply data to produce actionable insights that drive greater customer and market comprehension to inform launch brand strategies, help meet in-line brand growth objectives, and achieve improved customer engagement. They will be an integral part in helping to facilitate the creation of actionable commercial use-cases that create ‘data-driven’ decisions, that leverage knowledge across the organization and be more relevant to the customer. The preferred candidate will have an entrepreneurial spirit, comprehension of healthcare & technology, a demonstrated record of producing actionable insights from analytics. The candidate will need to comprehend the nuances of different product lines and versed in the Life Science commercial space. They will have demonstrated consistently strong leadership skills, an ability to work objectively and deal well with ambiguity and strong partnership skills. They will empower a growth mindset and inspire a culture of continual learning. This role will require interfacing and collaborating with many teams requiring strong communication skills. Colleagues who will thrive in this role are motivated by developing a deep appreciation of pharma secondary data sources and possess an ability to define and translate objectives and business questions into analytical problems that require advanced and scalable solutions that produce actionable insights.

Requirements

• BS (or equivalent) in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, or Public Health is required.
• 5+ years of relevant experience delivering complex analytical projects in the pharmaceutical/biotech/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.
• Knowledge in developing both machine learning and descriptive algorithms/modeling using such languages as Python, R studio, SAS, SQl etc.
• Self-motived, proactive mindset, and ability to work independently
• Effective interpersonal and communication skills
• Strong business acumen, with proven ability to comprehend business processes and commercial strategies in detail and translate these into detailed business standards/questions that power analytics.
• Effective stakeholder management and communication skills, along with the ability to convey appropriately and confidently with colleagues from different backgrounds and seniority levels
• Effective organizational and project management skills to work effectively across organization and manage capability of team of data scientists efficiently and effectively
• Proven data science leveraging advanced statistical methods, Machine Learning/Artificial Intelligence, Natural Language Processing (NLP) modeling and model evaluation is a plus.

Nice To Haves

• MBA, MS or PhD degree is preferred.
• Preferred: Prior hands-on experience working with healthcare data especially in EMR/EHR, Claims Data, SP/HUB and various IQVIA/KOMODO data offerings

Responsibilities

• 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.
• 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 decision.
• Analyze data using advanced analytical/statistical techniques across disparate databases/sources (including claims/EMR Data and other sources) to develop insights drive to inform the commercial business strategies
• Collaborate across HHDDA teams (i.e. data visualization, data solutions, other data scientists, other BIA teams, etc.) to deliver best-in-class solutions to drive data driven insights often acting in consulting capacity.
• Stay current with industry trends and advancements in analytical methodologies to bring new ideas forward 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

Benefits

• medical, dental, vision healthcare and other insurance benefits (for employee and family)
• retirement benefits, including 401(k)
• paid holidays, vacation, and compassionate and sick days

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level