Jobs · Analyst · Massachusetts

Scientist l - LBA (Ligand Binding Assay) Ops

BioSpace · Worcester, MA · 3 days ago
AnalystFull-time

About the role

We are seeking an independent, knowledgeable, and highly motivated Ligand Binding Assay Scientist (Scientist I) to join the Quantitative Translational and ADME Sciences (QTAS) department at Abbvie Bioresearch Center in Worcester, MA.

Responsibilities

  • Analyze samples by ligand binding assays (PK, PD, TK, ADA) using Meso Scale Discovery platform and colorimetric ELISA or other assay platforms.
  • Plan and execute sample analysis based on bioanalytical protocols and in vivo study designs on a variety of biological matrices (tissue lysates, serum, others) from a variety of species (monkey, mouse, rat).
  • Analyze pre-clinical in vivo samples based on a dynamically changing operational schedule.
  • Imperttut, present, and discuss assay results; use results to guide analysis and adjust strategy.
  • Communicate experimental plans and results effectively, both verbally and in writing during regular lab meetings and with broader teams.
  • Actively support day-to-day laboratory operations.
  • Write and update experimental protocols and procedures.
  • Independently and efficiently initiate, design, interpret, and troubleshoot operational assays.

Qualifications

  • Bachelor's degree in biology, biochemistry, pharmacology, or related field with at least 5 years of pharmaceutical experience or Master's in mentioned fields with 2+ years of relevant experience.
  • Experience with ligand binding workflow and assay development and troubleshooting is required.
  • Strong attention to detail, with demonstrated impact as an independent and self-motivated contributor.
  • Ability to operate and maintain laboratory equipment and reagents/material inventories independently.
  • Experience with lab automation is desirable.
  • Proven independence and problem-solving ability.
  • Excellent written and verbal communication skills and ability to draft technical reports.
  • Proficiency with computers and data analysis/documentation software including Excel, LIMS, and ELN.
  • Ability to summarize, communicate, and interpret bioanalytical results.
  • Ability and willingness to work effectively in a highly collaborative and multidisciplinary environment.

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