Senior Manager, Apac Data Science

**SENIOR MANAGER, APAC DATA SCIENCE**

Johnson & Johnson Family of Companies, caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for more than 130 years. We embrace research and science - bringing innovative ideas, products and services to advance the health and well-being of people. Employees of the Johnson & Johnson Family of Companies work with partners in health care to touch the lives of over a billion people every day, throughout the world.

With $93+ billion in 2021 sales, Johnson & Johnson is the world's most comprehensive and broadly-based manufacturer of health care products, as well as a provider of related services for the consumer, pharmaceutical, and medical devices and diagnostics markets. The more than 250 Johnson & Johnson operating companies employ approximately 130,000 people in 60 countries throughout the world. We are thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. We are proud to be an equal opportunity employer.

Janssen Pharmaceuticals discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases and vaccines, pulmonary hypertension and cardiovascular and metabolic diseases. At the Janssen Pharmaceutical Companies of Johnson & Johnson, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found.

**THE OPPORTUNITY**
The Asia Pacific Business Technology Team within Janssen Pharmaceuticals is looking for an extraordinary data scientist who is passionate about crafting, developing, and fielding data science solutions that drive impact for patients and for Janssen. There are many ways to explore and analyze data, and this powers the excitement and passion of data scientists at Janssen as many business units are eager to use the data to build business value.

As the senior member of the Asia Pacific Region’s data science function and report to regional data science director, you will leverage your experience and communication skills to work across business teams to build and develop innovative data science models and algorithms. Your ability to communicate insights and influence decisions at various levels in the organization will be paramount to your success in this role. Focus areas include (but not limited) to patient/payer analytics, commercial strategy, and patient support program analytics. Specifically, you will:

- Conceive, develop, and implement analytics solutions to high-priority scientific problems
- Participate in cross-functional collaborations with external companies and internal scientific and data science & analytics teams across the region.
- Shape internal/external collaborations and define the scope of data science questions.
- Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.
- Manage AI solutions as products and create product roadmap to continuous evolve the data science offerings.

You will be someone who stays on the cutting edge of artificial intelligence, data science and advanced analytics research through novel project execution and development of algorithms that improve organizational performance and commercial effectiveness. The role requires both a broad knowledge of existing AI-type algorithms and the creativity to invent and customize when necessary. You will lead and work with matrixed teams across business and technology, and will be part of a dynamic, accomplished organization that will support multiple therapeutic areas.

**Qualifications**
**REQUIRED QUALIFICATIONS**:

- Ph.D. with 6+ years of relevant experience, or M.S. with 8+ years of relevant experience, in Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Physics, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics, Computational Biology or a related discipline.
- Experience leading highly matrixed teams and a proven track record of delivering high impact analytical projects.
- Strong working knowledge of machine learning platforms/environments.
- Strong working knowledge of AI-type algorithms, including machine learning techniques such as regression, decision trees, probability networks, association rules, clustering, neural networks, and/or Bayesian models.
- Familiarity with large datasets, handling of healthcare relevant datasets and understanding of data analysis workflows.
- Proficient with one or more programming language such as Python, R, SAS or Java.
- Strong working knowledge of common big data platforms / software development toolkits such as Kubernetes, AWS/Azure, Airflow, Jenkins, JIRA, Confluence, Git, Databrick. Familiar with the software development life cycle. Experience with deep