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:

Clinical Data Management

Job Category:

Professional

All Job Posting Locations:

Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine is recruiting for an Analyst II External Data Acquisition Expert to join our External Data Acquisition team within the Integrated Data Analysis and Reporting (IDAR) Data Management & Central Monitoring organization. The position can be located in Springhouse, PA; Titusville, NJ or Raritan, NJ.

Are you ready to join a growing team driving the implementation of data acquisition strategy and the future e-clinical trial landscape at Johnson & Johnson?!

As a key member of the External Data Acquisition team, the Analyst II External Data Acquisition Expert uses in-depth knowledge on the collection, ingestion, transformation, and storage of external data to support a diverse clinical development portfolio.

You will be empowered to drive data acquisition activities for a portfolio of trials and data streams within assigned scope and serve as a subject matter expert on a variety of domains (e.g., non-CRF, Devices & Apps, Electronic Health Records (EHR), Direct Data Capture).

The successful candidate will work in an agile, fast-paced, highly motivated, team centric and evolving data environment. You will apply creative problem-solving skills and knowledge to support R&D innovation, staying abreast of relevant industry trends and innovative technologies related to external data.

You will be responsible for:

• Collaborate cross-functionally and with external data providers to understand the purpose of data collected, align data availability and consumption requirements, and drive optimal data acquisition solutions.

• Analyze data and content from external data streams and propose efficient pathways to acquire and integrate relevant data.

• Lead the development and setup of traditional and novel data streams and related documents within assigned scope.

• Participate in continuous improvement initiatives contributing to innovation and the maturation of an industry leading data acquisition capability.

• Actively contribute to the shaping of the organization, improving re-usability, efficiency, and consistency of tools and processes across studies and therapeutic areas.

Qualifications, skills, and experience

Required:

• Bachelor's degree (e.g., BS, BA) or equivalent professional experience is required, preferably in Clinical Data Management, Health, or Computer Sciences. Advanced degrees preferred (e.g., Master, PhD).

• Minimum 2 years of experience in Pharmaceutical, CRO or Biotech industry or related field or industry.

• Experience working in a multi-functional environment and ability to adapt to different ways of working.

• Proven track record of effective communication skills, including strong verbal and written communication, influencing, and partnering skills.

• Demonstrated experience working with external data providers, clinical data, and data structures within a clinical study/research setting.

• Good understanding of the overall drug development process and GCP/ICH guidelines.

Preferred:

• Demonstrated understanding of relevant data collection, transfer, and submission indus