Senior Manager, Data Science

Found in: Appcast Linkedin GBL C2 - 3 weeks ago

Wilmington, United States Genpact Full time
  • Role : Senior Manager, Data Science


The Commercial Data Sciences & AI is a key leader in the Commercial Data Science & AI team whose mission is to take a patient-centric, data-driven approach to personalize and transform healthcare delivery to the millions of patients along with a multi-disciplinary team of physicians who care for them. This responsibility involves working closely with cross-functional Science, Medical, and Business leaders to identify, prioritize, and develop Data Science, AI, and Advanced Analytics Platforms & Products across Bio-pharma and Specialty therapy businesses. The scope of this role is Global serving all the markets for life-changing medicines are approved to help Patients live longer.

The team is responsible for value creation through innovation at a global scale. In addition to impeccable technical skills, the ability to communicate and influence a diverse stakeholder set is crucial. Not infrequently, the problems we solve are first identified by its senior members – introducing and gaining traction for these concepts requires tact and subtlety.

We are looking for with experience in Pharma Commercial analytics in the areas of Data Science, AI etc., for a top 5 Pharma Major client of Genpact.


Key Responsibilities:

• Develop a deep understanding of the business and its core markets.

• Leverage AI/ML, mathematical programming, and statistical modeling to develop solutions that create a competitive advantage for our commercial organization.

• Be responsible for the full solution architecture cycle: identification & definition of business questions/opportunities, data acquisition & preparation, model implementation & optimization, and method of deployment to the consuming system or team.

• Collaborate with ML Ops to prepare and document solutions for the transition to maturity/industrialization team.

• Collaborate with matrix teams (sales, marketing, IT, external vendors, etc.) to ensure effective and efficient deployment of capabilities.

• Actively seek out, develop, and share best practices.

• Stay abreast of the evolving technical landscape, and remain current on the major data science development.

• Incentivize and pursue continuous improvement of existing capabilities and skills.

• Manage onshore and offshore external consultants.

Competencies and Minimum Requirements

• Bachelor’s degree years of progressive professional work experience in mathematics, computer science, engineering, statistics, economics, market research or a related quantitative discipline.

• Hands-on experience in the application of data science methods on large and disparate datasets, such as Rx, Claims, EMR, and other patient-level data sets.

• Hands-on experience in working with analytics and programming softwares (e.g., SAS, R, Julia, or Python) and familiarity with database systems (e.g., SQL, NoSQL, graph).

• Professional experience in Pharmaceutical and Life Science industry.

• Track record of developing Data Science and AI products that have generated business value, and impact across multiple Industries.

• In-depth knowledge and experience with advanced statistical methods as well as latest development in the data science and AI fields.

• Understanding of algorithm design, development, optimization, scaling, and applications.

• Excellent written and verbal communication, business analysis, and consultancy skills.

Desirable Requirements

• A quantitative master’s or Ph.D. degree from an accredited college or university in one of the following fields: Engineering, Economics, Statistics, Applied Mathematics, Physics, Computer Science, Data Science, or Operations Research.

• Comfortable working in high-performance computing or cloud environment.

• Proven track record of publishing relevant predictive modeling results and tools in peer-reviewed journals, conferences, and other scientific proceedings.

• Experience in understanding biomedical data sets and real-world data sets relevant to life sciences and healthcare.

• Experience in novel methods development and application, complex global organization, and people management.

• Strong entrepreneurial drive to identify/pursue opportunities and take ownership of outcomes.

• Mature leadership and interpersonal skills. Track record of working collaboratively with a significant number of leaders and building ambitious solutions in a matrix environment.

• Strong organizational skills and time management.

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