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Bench Scientist

|  Posted On: Sep 4, 2026

location:Cambridge, MA 02140

Duration:24 Months, Contract

mode of work:On-site

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Job Summary

Job Title:  
Bench Scientist
Posted Date:  
Sep 4, 2026
Duration:  
24 Months, Contract
Shift(s):  
  • 08:00 - 16:00
Salary ($): 
37.00 - 37.90 per Hourly (compensation based on experience and qualifications)
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Talk to our Recruiter

Name:
 
Mittul Yadav

Email:
 
mittul@rangam.com

Phone:
 
984-422-4083

Description

Employment Type: Contractor (Up to 2-Year Assignment)

  • The successful candidate will play a key role in generating and analyzing binding kinetics data that directly informs critical drug discovery decisions.
  • This role is ideal for a scientist who enjoys hands-on laboratory work, thrives in a fast-paced research environment, and possesses strong analytical and communication skills.

Position Summary

  • As a member of a specialized analytical sciences team, you will support multiple drug discovery programs by performing ligand-receptor and antibody binding characterization studies using industry-leading platforms such as Biacore, Octet, and Carterra.
  • You will work closely with project teams across client to design experiments, execute assays, analyze data, and communicate findings that advance therapeutic development efforts.
  • The position provides mentorship, training, and exposure to a diverse range of molecules, modalities, and technologies while offering the opportunity to contribute meaningfully to projects from early discovery through later-stage development.

Key Responsibilities

Perform binding characterization and kinetic analyses using:

  • Biacore (SPR)
  • Octet (BLI)
  • Carterra platforms
  • Design, execute, and troubleshoot binding assays and analytical experiments.
  • Analyze experimental data and generate high-quality reports and presentations.
  • Interpret results and effectively communicate scientific findings to cross-functional project teams.
  • Support multiple therapeutic programs simultaneously while managing changing priorities.
  • Collaborate with scientists across research, discovery, and development organizations.
  • Maintain accurate laboratory records and documentation.
  • Participate in scientific discussions, project meetings, and data review sessions.
  • Assist with automation-enabled laboratory workflows and high-throughput analytical processes.
  • Learn and apply new technologies and methodologies as project needs evolve.

Required Qualifications

Bachelor's degree in:

  • Biology
  • Biochemistry
  • Biophysics
  • Molecular Biology
  • Biotechnology
  • Life Sciences
  • Or a related scientific discipline

AND

  • Minimum 2-3 years of relevant laboratory experience

OR

  • Master's degree with laboratory experience through industry, academic research, internships, or co-op programs.

Required Experience

  • Hands-on laboratory experience in biological, biochemical, or biophysical research environments.
  • Experience conducting and documenting laboratory experiments.
  • Strong understanding of assay execution, data generation, and scientific reporting.
  • Ability to work independently after training while maintaining high-quality scientific standards.
  • Strong organizational skills and attention to detail.
  • Excellent written and verbal communication skills.

Preferred Qualifications

Experience with:

  • Biacore (Surface Plasmon Resonance)
  • Octet (Bio-Layer Interferometry)
  • Carterra platforms
  • Binding kinetics analysis
  • Ligand-receptor interaction studies
  • Antibody characterization
  • Protein characterization assays
  • Experience using laboratory automation systems or automated workflows.
  • Exposure to drug discovery or biopharmaceutical research environments.
  • Experience presenting scientific data to project teams and stakeholders.

 

AI-Assisted Application Screening

As part of our recruitment process, we may use automated tools or AI-enabled technologies to assist with resume screening and candidate matching. These tools help our recruitment team review applications more efficiently, but they do not make hiring decisions. All final decisions are made by human reviewers.