Analyst, External Data Acquisition Expert
Johnson & JohnsonAbout the role
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 SciencesJob Sub Function:
Clinical Data ManagementJob Category:
ProfessionalAll Job Posting Locations:
Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of AmericaJob Description:
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/.
Johnson & Johnson Innovative Medicine is recruiting for an Analyst 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.
Position Summary
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 External Data Acquisition Expert contributes to the collection, ingestion, transformation, and storage of external data to support a diverse clinical development portfolio.
You will be empowered to enable data acquisition activities for trials and data streams within assigned scope and develop into 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.
Contribute to 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.
Novice project and risk management skills.
Ability to collaborate in an environment of cross-functional stakeholders, plan and coordinate tasks effectively.
Ability to communicate effectively in English (written and verbal).
Preferred:
Knowledge of clinical drug development within the pharmaceutical industry or related industry.
Understanding of data management practices (including tools and processes), regulatory guidelines (e.g., ICH-GCP), and standards (e.g., CDASH, SDTM).
Knowledge on developing and maintaining External Data Streams (e.g., Labs, ECG, Biomarkers, PK/PD, PGx, IVRS) and associated components (e.g., Data Transfer Agreements & Specifications, transfer file verification, da
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