1056-Senior Manager Data Scientist

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Our client is a leading research-based biopharmaceutical company. They apply science and their global resources to deliver innovative therapies that extend and significantly improve lives. Every day, colleagues work across developed and emerging markets to advance wellness, prevention,  treatments and cures that challenge the most feared diseases of our time.

ROLE SUMMARY
Pfizer Digital’s Artificial Intelligence, Data, and Analytics organization (AIDA) leverages data science and advanced analytics to change patient’s lives. The Data Science Solutions and Initiatives (DSSI) team under AIDA partners with business stakeholders to drive analytic capabilities, accelerating business insights to enable decision making. The Scientific and Clinical Data Science team under DSSI accomplishes this through a focus on the use of data from inside and outside the organization, analyzed by a team of data
scientists, in response to business partners to perform analyses that advance our portfolio.

In the Scientific and Clinical Data Science team, the Senior manager data scientist is a very important role to advance predictive data analyses strategies, and innovative methods generating valuable insights using numerous internal and external data sources. The Senior Manager data scientist will provide leadership in maximizing the value of Pfizer’s investments in big data and analytics capabilities. She/he will work in a fast-paced multidisciplinary environment as the competitive landscape and data strategies keep changing rapidly.

ROLE RESPONSIBILITIES
The Senior Manager data scientist will:

• Locate and analyze different types of relevant data from inside and outside of Pfizer to answer discovery, research and development questions.
• Provide leadership to and execute projects that help discover drug molecules and reposition Pfizer’s drug products in collaboration with business partners that have diverse scientific, informatics and business management skills and experiences.
• Create prototypes, predictive models and demonstrations to help articulate the value of insights for advancing science and discovery
• Develop Proof-of-Concept (POC) utilities for use in answering scientific questions with innovation, value generation and competitive edge as key differentiators; provide thought leadership and architectural know-how to scale up these utilities for mainstream use by broader scientific and business community.
• Lead Business initiatives and support Pfizer Digital’s Bold Moves
• Produce actionable data presentations and visualizations that are intuitive, effective and insightful for decision makers at senior levels throughout the organization
• Define and execute technology POCs using cutting edge and state of the art technologies

BASIC QUALIFICATIONS

• A minimum of a bachelors’ degree with 7+ years of experience or a PhD 2+ years’ experience in chemistry or related area
•  Data analysis experience with heterogeneous data types and familiarity of big data, analytics and/or data mining environments in molecular sciences
• 5+ years of programming experience with one or more analytics tool (Python, SAS, R or SQL)
• 3+ years with a data visualization tool (e.gs., R, DASH, Spotfire, Tableau)
• Machine Learning and predictive modeling skills: Ability to build and manage models to predict future outcomes using data that is often incomplete and/or imperfect and contained in disparate sources.
• Statistical analysis: Ability to understand and improve possible limitations in models.
• Hypothesis testing: In collaboration with scientific and business partners, able to develop hypotheses and test them with careful experiments.
• Demonstrated capabilities in analyzing heterogeneous datasets; Ability to identify trends, identify outliers and find patterns
• Demonstrated experience in accessing and analyzing research, clinical and/or safety data
• Superior analytical skills required; Strong verbal and written communication skills
• The ideal candidate would be able to work independently with the ability to prioritize activities