Associate Director, Advanced Insights

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function

Data Analytics & Computational Sciences

Job Sub Function

Data Science

Job Category

People Leader

All Job Posting Locations:

Beerse, Antwerp, Belgium

Job Description

Associate Director, Advanced Insights

Business Growth Innovation and Advocacy

Position Summary

This role is responsible for translating analytics and generating actionable insights from data with a high level of autonomy. The incumbent will lead and manage analytics and data science projects within the Innovative Health and Global Development organization. Utilizing strong technical expertise in the data science and analytics space, the individual will generate insights and provide data-driven solutions to meet business needs while collaborating with key stakeholders.

In addition to executing on strategy, this role will contribute to the definition and development of new initiatives, processes, standards, and operational plans that support organizational and business outcomes. This position requires a proactive approach to project execution, while managing project deliverables, timelines and ensuring alignment with functional objectives.

This role will be accountable for mid to large-scale projects and actively participates in cross-functional initiatives. Managing a number of projects, including those of moderate to high complexity, the individual will have significant influence over business unit outcomes. Through strategic project execution and insights generation, the role will directly impact the overall productivity and generate operational efficiencies of the organization, driving growth and innovation.

Principal Responsibilities

The Associate Director, Advanced Insights will

• Lead and execute clinical and operation advanced analytics that facilitates gaining deep insight to clinical and operation data for relevant business partners in Global Development (GD) and clinical therapeutic areas.
• Develop and lead in the development of novel quantitative and data science solutions to generate deep insights from disparate data sources.
• Provide subject matter expertise to teams in identification and application of the right data science methodology for a business problem.
• Formulate the right business problem in collaboration with key stakeholders across the organization and create necessary analysis plans.
• Develop machine learning methodologies both supervised and unsupervised as appropriate to the business problem.
• Develop scalable and robust code in R or Python in support of data science projects.
• Ensure the life cycle management of the models is maintained through code repositories and version control tools.
• Perform data engineering, data preprocessing and data wrangling activities utilizing different approaches such as SQL, NOSQL, graph models.
• Good understanding of Natural Language Processing methodologies.
• Establishing an internal and external benchmarking network facilitating the distillation of best data integration and analytics practice from leading organization externally while also identifying best practice from internal teams within J&J.
• Mentor and coach junior level staff.
  
  

Education And Experience Requirements

Individual should have a minimum of 7 years with relevant master’s degree in data science, statistics, Informatics, operations research, computer science, engineering or information systems or a related discipline OR

A minimum of 3 years with a Ph.D. degree in data science, statistics, Informatics, operations research, computer science, engineering or information systems is required.

Other relevant experiences and skills may be considered by the hiring manager when considering the candidate’s eligibility.

• Proven ability to translate and influence business requirements against existing analytics and data integration capabilities whilst identifying capabilities challenges and necessary solutions to ensure realistic goal setting for future analytics modelling.
• A proven record in shaping and delivering key programs that optimized performance and delivered project support in matrix environments is required.
• Experience in advanced analytics processes including gaining insight from structured and unstructured data, predictive modelling and optimization and associated systems/database infrastructure
• Strong working knowledge of traditional statistical methodologies.
• Strong working knowledge of machine learning methodologies, both supervised and unsupervised learning methods.
• High proficiency in one of the programming languages either Python or R.
• Familiarity of best practices in machine learning model development, validation and deployment.
• Solid understanding of life cycle management of the code and code repositories.
• Extensive experience with data wrangling, data preprocessing and data engineering techniques on large datasets.
• Technical expertise, preferably in pharmaceutical clinical or a regulated industry operation, with extensive experience gained through working with diverse and complex data integration, warehousing and ingestion.
• Excellent communication, interpersonal, and written skills