Director, TA Data Science

Key Skills

Java Programming, Leadership, Management, Python Programming, SQL, Agile methodologies, AWS, Machine learning techniques, Data science techniques, Data Modeling, R Programming, Algorithms, AWS Sagemaker, Lambda, Immunology, Cardiometabolic

Job Description

The Director, Data Science role will work within the Human Health Insights, Analytics and Data 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, an appreciation of healthcare & technology, a demonstrated record of directing delivery teams to derive actionable insights from analytics. The candidate will need to comprehend the nuances of different product lines and be well versed in Life Science commercial space. Their job will be to influence marketing strategy and identify data driven opportunities in some key growth areas. 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 directing a large team and interfacing and collaborating with many teams throughout multiple markets demanding 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.

Primary Skills:

• Thoroughly comprehend the assigned internal client’s/stakeholder's business needs/priorities and architect analyses that promote business objectives by delivering actionable insights.
• Intake resourcing requests from internal teams and facilitate appropriate project and resource planning and take ownership of delivery and best practices.
• Be accountable for ensuring delivery of analyses with high quality standards, timeliness compliance, and excellent user experience (routinely keep client base updated on progress).
• Communicate intensively with other platform/competencies to project new trends/ methodologies being implemented/considered within the company ecosystem and bring new ideas forward that will enhance analytical capabilities of the organization.
• Contribute to innovative experiments, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria.
• Where applicable, collaborate and partner throughout the organization to identify, share and lead the sourcing of externally available data sources based on the business needs, and execution of specific business objectives.

Education:

• A minimum of BS (or equivalent) in Data Science, Computer Science, Management Information Systems, IT, or an equivalent scientific/commercial discipline.

Masters/PhD preferred.

Knowledge and Skills:

• Minimum of 7 plus years of relevant knowledge using data science to deliver measurable impact in commercial pharma landscape.
• At least 3 years of actionable knowledge leading large teams (10+ people) with a clearly defined leadership and management philosophy.
• Provide actionable insights through analytics to commercial franchises brands at various stages of product life cycle (development, launch, maturity, end of life cycle).
• Previous working knowledge of using data science to answer commercial business questions in most of the following therapeutic areas: Oncology, Vaccines, HIV, Acute Care. Anesthesia, Neurology, Immunology, Cardiovascular, Metabolic.
• Proficiency formulating business questions based upon client insight requirements.
• Knowledge in developing both machine learning and descriptive algorithms/modeling using such languages as Python, R etc.
• AWS knowledge preferred with familiarity with SageMaker and other AWS services (step functions, glue jobs, lambda functions, etc.)
• Comfortable formulating actionable insights and recommendations from commercial analytics into presentations (using PowerPoint, Tableau, etc.) and presenting results to various levels of franchise management.
• Proven data science knowledge leveraging advanced statistical methods, Machine Learning/Artificial Intelligence, Natural Language Processing (NLP) modeling and model evaluation is a plus.
• Demonstrated ability to partner with diverse groups of work colleagues and positively manage ambiguity.
• Self-motivation, proactivity, and ability to work objectively with minimum direction.
• Proven knowledge of business processes and industry/market trends within the pharmaceutical/healthcare space.
• Excellent business acumen, with proven ability to comprehend business processes and commercial strategies in detail – both at global and region/country levels – and translate these into detailed business requirements/questions that power analytics.
• Excellent stakeholder management and communication skills, along with the ability to interact appropriately and confidently with colleagues from different backgrounds and seniority levels.
• Excellent organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively.
• Proven track record of successful completion of multi stakeholder projects necessitating coordination cross-functionally between several departments.