Data Processing Solutions Expert

The Data Processing Solutions Expert provides expertise in clinical data processing technologies to guarantee support required by the Global Development (GD) organization. As a member of the Data Processing Solution team, they will develop knowledge and experience in clinical data management and programming technologies and take ownership for projects to either build new or improve existing solutions for the clinical study teams. This position can be located in Raritan, NJ, Wayne, PA, Titusville, NJ or Beerse, Belgium.

The Data Processing Solutions Expert impacts processes, project timelines, priorities and functionality of conducting clinical trials and clinical trial software. They will interact with data managers, clinical and statistical programmers, clinical teams, biostatisticians, medical writers, technical experts, and external vendors. This position has no direct reports, however it may provide direction to external vendors and contractors.

This role will require building strong internal and external partnerships.

The following are examples of the solutions, which may be part of the supported portfolio:

- Data Management Environment (DME) platform;
- Statistical Programming Environment (SCE) platform;
- SAAS based solutions tailored to the life sciences industry;
- Customized web platforms to automate clinical data management activities like clinical standards library management, clinical study specification setup and clinical data validation;

**Qualifications**

**Key Responsibilities**:

- Develop tools and programs for use by global user community
- Develop scalable and robust code in R or Python
- Provide technical support, mentorship, and or coaching in a domain of their expertise
- Act as an expert in a specific domain
- Deliver on medium and complex projects
- Lead the creation of user requirement specifications
- Provide technical lead to the deployment of new solutions
- Share expertise to support the clinical data delivery and analysis teams and Clinical Research Organizations (CROs) by coordinating trainings, Question and Answers sessions, and organizing direct support when needed
- Organize and lead User Acceptance Testing in collaboration with the targeted user community
- Develop guidance, training materials and documentation required for integrating the new tools into the business processes
- Identify, participate or lead in process, system, and tool improvement initiatives
- Assume responsibilities to develop a continuous improvement and innovation culture with respect to the current and future data processing solutions
- Ensure compliance and support for audit and inspections as appropriate
- Ensure compliance with regulatory, security and other audit requirements at all times
- Manage the compliance plans and ensure adherence for services under responsibility.
- Ensure the life cycle management of programs is maintained through code repositories and version control tools.

**Qualifications**:
**Education**:

- A minimum of a Bachelor’s degree in Engineering, Science, Computer Science or related field is required. A Master’s degree is preferred.

**Experience and Skills**:
**Required**:

- 3-5 years of meaningful experience in clinical development, data science field, or analyzing clinical study data is required.
- High proficiency in either of the following programming languages: SAS, Python or R. Python and R are strongly preferred.

**Preferred**:

- A proven track record in delivering transformational system implementations yielding a positive return on investment for organizations.
- Experience with Data Management or/and Statistical Computing platforms.
- Extensive experience with data wrangling, data processing and data engineering techniques on large datasets.

**Other**:

- Must have a Global Business attitude, strong project leadership capabilities, be solutions oriented, provide process improvements with operational excellence.
- Must possess ability to think analytically, be quality results oriented and customer focused.
- Solid understanding of code life cycle management and code repositories.
- Familiarity with machine learning model development, validation and deployment is a plus.
- 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.
- Must have excellent communication, interpersonal, and written skills
- Position will require 10% travel

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

**Primary Location**
United States-New Jersey-Raritan-920 US Highway 202

**Other Locations**
United States-New Jersey-Titusvil