Trial Support Scientist — PK/PD Data & Lab Ops (Remote)

Johnson & Johnson Innovation

Spring House (PA)

Hybrid

USD 85,000 - 125,000

Full time

13 days ago
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Job summary

Johnson & Johnson in Spring House, PA is seeking a Scientist, Trial Support to join the Bioanalytical Discovery and Development Sciences (BDDS) team. The role focuses on pharmacokinetic/pharmacodynamic research to support development programs and drug candidate evaluation.

Remote work options may be considered on a case-by-case basis. The successful candidate will contribute to clinical and nonclinical study deliveries, data reporting, and sample management with BDDS and CROs.

Qualifications

  • Bachelor's degree with 3 years of relevant experience or Master's with 2 years or PhD with 1 year required.
  • Sample management experience required.
  • Basic understanding/review of lab-based technical documents.
  • Experience working in database systems (e.g., Watson LIMS, LabVantage LIMS) required.
  • Good communication across organization required.
  • Good organization, attention to detail, and time management required.
  • Experience in GLP/GCP required.

Responsibilities

  • Act as a developing individual contributor in PK/PD research projects to support development programs.
  • Contribute to studies supporting discovery, clinical candidate selection, development and approval of medicines.
  • Complete activities related to global BDDS clinical and nonclinical study deliveries and support timelines.

Skills

Good communication skills
Organization
Time management
GLP/GCP experience

Education

Bachelor's degree
Master's degree
PhD

Tools

Watson LIMS
LabVantage LIMS

Job description

Johnson & Johnson in Spring House, PA is seeking a Scientist, Trial Support to join the Bioanalytical Discovery and Development Sciences (BDDS) team. The role focuses on pharmacokinetic/pharmacodynamic research to support development programs and drug candidate evaluation.

Remote work options may be considered on a case-by-case basis. The successful candidate will contribute to clinical and nonclinical study deliveries, data reporting, and sample management with BDDS and CROs.

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