Mid level Data Scientist Advanced Analytics

Key Skills

Azure, Docker, Janusgraph, Java Programming, Python Programming, SQL, Swagger, VBA

Job Description

Johnson & Johnson Hospital Medical Device (HMD) is currently recruiting for a Senior Data Scientist, Advanced Analytics.

The HMD Quality and Compliance Advanced Analytics Team has three main objectives:

• Designing and automating data pipelines to ensure consistency and reliability in data used for application and report development.
• Improving accessibility and understanding of data analytics across all hospital medical device businesses.
• Performing exploratory data analyses on new and existing data sources and evaluating models for potential long-term applications.

Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 125 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.

Johnson & Johnson Medical Device Companies produce a broad range of innovative products and solutions used primarily by health care professionals. As the most comprehensive devices business in the world, Johnson & Johnson Medical Devices is best suited to serve evolving customer needs, train more surgeons to improve standards of care, and treat more patients globally as access expands.

The Hospital Medical Device organization is looking to recruit a Senior Data Scientist to be a part of the Quality and Compliance Advanced Analytics team with responsibility for data science application development. This position reports to Manager, Advanced Analytics and will be a part of the HMD Advanced Analytics Data Science Team, collaborating with a team of data scientists, engineers, statisticians, clinicians, etc. across the J&J Medical Device sector.

Key Responsibilities:

• Working with team members internal and external to the advanced analytics team to implement customer-centric solutions for data analytics and process improvements
• Leading projects with varying timelines (e.g. hours to weeks) and complexities
• Designing processes and developing scripts (using R, Python, VBA, etc.) to perform and automate data analysis of large and complex datasets (e.g. data wrangling, text mining, statistical modeling, etc.)
• Creating visualizations and presentations to provide insights into different types of data for technical and lay audiences
• Ensuring data analysis and results are accurate logically sound
• Diagnosing and troubleshooting scripts and algorithms for potential issues
• Identifying opportunities for optimization and recommending process improvements by anticipating customer needs
• Proposing implementation strategy for projects and data pipelines of moderate to high complexity
• Adopting new technology and best practices in the data science field to maintain progressive advantage in the industry
• Executing routine processes and responding to ad hoc requests in a highly regulated, fast-paced quality system environment
• Managing cross-functional, multi-level stakeholders and project requirements through effective communication
• Provide guidance and supervision for peers and team members as necessary
• Delivering results that support the company’s goals and objectives by accepting and performing other duties as assigned

Qualifications

A Bachelor of Science degree in a technical field (e.g. Data Science, Statistics, Business Analytics, Life Sciences, Quality Engineering, Health Informatics etc.) is required. A minimum of 4 years of relevant work experience is required.

Required Knowledge and Skills

• Expertise in R programming language for automation, data wrangling/analytics, text mining, machine learning, Shiny application, etc. Expertise in other programming languages (e.g. Python) may be considered in lieu of this requirement; nevertheless, proficiency in R programming is required in this role.
• Experience in R package development, management, and deployment is required.
• Experience in software testing/validation is required.
• Proficiency with source code management tools and ticket management systems such as git, bitbucket, and Jira is required.
• Proven ability to analyze, clean and summarize large datasets using a scripting language is required.
• Proven ability to learn quickly and formulate creative solutions is required.
• Excellent written and verbal communication skills is required. Attention to detail is critical to the success of this role.
• Professional application of Microsoft Office software (e.g. Outlook, Word, PowerPoint, Excel, OneNote) is required.
• Good leadership skills are required.
• Proven understanding of statistical and data analytics concepts is required.
• Ability to prepare data analysis results for presentations and discussions (e.g. graphs, charts, slides, RMarkdown etc.) is required.
• Capacity to manage multiple responsibilities and priorities is required.
• Ability to work effectively in a collaborative environment is required.
• Ability to work proactively, independently, and efficiently under limited supervision is required.
• Experience in project and stakeholder management is preferred.
• Quality System and Medical Device experience preferred.
• Knowledge in setup and management of servers and containerized applications is desired (Azure VM, Docker, Traefik/Docker Swarm, etc).
• Experience in database setup and management is desired.

Experience in machine learning model validation and deployment is desired.