Scientist, Clinical Research, Research Scientist

Role Overview

Duration
: 12 Months

Max Pay
: $45.00 per hour on W2

Interview process
:
Two Rounds (1st round - Hiring Manager; 2nd round panel)

Working Model
:
On-site 5 days/week

Department
:
Translational Pharmacokinetics and Pharmacodynamics

• We are seeking a highly motivated research associate to join the Translational Pharmacokinetics and Pharmacodynamics (tPKPD) Department.
• This role is part of a multidisciplinary group that supports and applies preclinical PKPD tools to determine the PK and metabolic fate of candidate therapeutics.
• The successful candidate will bridge the gap between PKPD study support and data informatics, contributing to nonclinical study execution, database management, and the development of analytical workflows.
• This role is unique in its dual focus: performing traditional nonclinical PKPD study execution while actively driving the department's transition toward automated data workflows and advanced informatics.
• The successful candidate will help "sunset" manual processes in favor of programmatic solutions

• Study Management
  :
  Contribute to outsourcing PK study design, monitoring, and execution.
• Laboratory Support
  :
  Perform lab-related activities including dose material preparation and possible sample/tissue preparation (note – this is a very minor component of the role)
• Data Analysis & Informatics
  :
  Conduct PK data analysis and maintain/update departmental databases.
• Coding & Reporting
  :
  Utilize coding techniques to streamline data entry, perform statistical analysis, and generate study reports.
• Communication
  :
  Actively participate in department interactions and deliver department presentations regarding study findings.

• Education
  : A BS or MS degree in Biological and/or data science or similar.
• Experience
  : 1–2 years of hands-on preclinical R&D experience preferred, preferably within a biotech or pharmaceutical setting.
• Technical Knowledge
  :
  Basic understanding of animal physiology and cell culture. Familiarity with bioanalytical techniques such as ELISA, FACS, and LCMS.
• Data & Coding
  :
  Strong proficiency in data analysis and the ability to apply coding techniques to manage large datasets is preferred.
• Experience with database entry and management.
• Soft Skills
  :
  Must be self-motivated, detail-oriented, and an independent thinker.
• Excellent oral and written communication skills and demonstrated effectiveness in a team setting are required.