Bench Scientist

August 21, 2025
$41 / hour
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Job Description

Job Summary:

  • A position is available for a bioanalytical bench scientist to join a bioanalytical mass spectrometry laboratory in client’s Pharmacokinetics Dynamics and Metabolism department.
  • This lab-based role will focus on supporting Antibody Drug Conjugate (Client) related bioanalytical activities.
  • This includes LC-MS based assay development for ADCs, study sample analysis, data reporting, LC-MS instrument operation and maintenance.
  • The successful candidate is detail-oriented and, following training, can operate independently.
  • This position requires demonstrated experience in successfully executing complex bioanalytical procedures.
  • Previous experience in small molecule LCMS assay is desired.
  • Previous experience in handling Client molecules, immunoanalytical workflows and quantitative LC-MS assay techniques is a plus.
  • We are looking for a scientist passionate about learning and quickly applying new skills to project needs.

Duties and Responsibilities:

  • Preparation of samples for mass spectrometry analysis.
  • Design of experiments in collaboration with colleagues.
  • Conduct analytical experiments and method development as needed.
  • Identify and exploit new scientific concepts.
  • Interpretation and documentation of experimental results.
  • Communication of experimental results to team members.
  • Maintain high quality record in electronic lab notebook.

Qualifications:

  • BS/MS degree in chemistry, biological sciences, biochemistry or related fields (NON-PhD).
  • Bachelor’s Degree with a minimum of 3+ years of experience OR;
  • Master’s Degree with a minimum of 1+ years of experience.
  • Experience with LC-MS biological sample preparation involving a multi-step process to isolate, purify, and concentrate the analytes of interest for the LCMS analysis.
  • Experience with the operation of LC-MS instrument and familiar with related operation software (Analyst, Xcalibur or Skyline).
  • Works well both independently and as part of a team.
  • Collaborative skills and effective partnering skills in a matrix environment.
  • Strong data organization, analysis, and communication skills.

Interviews:

  • Onsite.