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How much do contract biomedical scientist jobs pay per year?

As of Jun 9, 2026, the average yearly pay for contract biomedical scientist in the United States is $106,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $157,000.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Contract Biomedical Scientist?

As a Contract Biomedical Scientist, your daily tasks often include preparing and analyzing biological samples, conducting diagnostic tests, and ensuring quality control standards are met within lab protocols. You may also be responsible for troubleshooting equipment, managing data entry into laboratory information systems, and collaborating closely with medical staff to interpret results. The role often means working in fast-paced hospital or research settings, so efficiency and attention to detail are key. This position offers exposure to a variety of scientific techniques and team structures, making it ideal for those looking to broaden their experience and skill set.

What is a Contract Biomedical Scientist job?

A Contract Biomedical Scientist is a professional who works on a temporary or fixed-term basis in laboratories, usually within hospitals, research institutions, or private companies. They perform laboratory tests, analyze biological samples, and assist in diagnosing diseases. These roles often require flexibility and specialization, as they may involve covering staff shortages or contributing to specific research projects. Contract positions can vary in length, from a few weeks to several months, depending on the employer’s needs. This role is ideal for individuals seeking diverse work experiences and career flexibility.

What are the key skills and qualifications needed to thrive in the Contract Biomedical Scientist position, and why are they important?

To excel as a Contract Biomedical Scientist, a relevant science degree (such as biomedical science or biology), laboratory experience, and HCPC registration (in the UK) are typically required. Familiarity with laboratory information management systems (LIMS), advanced analytical equipment, and established diagnostic techniques is essential. Strong problem-solving skills, adaptability, and the ability to collaborate efficiently within multidisciplinary teams are highly valued soft skills. These competencies ensure that contract professionals can quickly integrate into new work environments, maintain high standards, and deliver accurate, timely results.

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Contract Biomedical Scientist jobs near you
Infographic showing various Contract Biomedical Scientist job openings in the United States as of May 2026, with employment types broken down into 4% As Needed, 7% Full Time, and 89% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $106,190 per year, or $51.1 per hour.
Computational Image Analysis Scientist - 2D/3D Biomedical Imaging

Computational Image Analysis Scientist - 2D/3D Biomedical Imaging

Astrix Inc

Ridgefield, CT • On-site

$39 - $42/hr

Contractor

Posted 21 days ago

Job description

Our client is a global, research-driven pharmaceutical manufacturer focusing on treatment options for diseases and conditions for which there is no satisfactory treatment option to date. The company is looking for a Computational Image Analysis Scientist - 2D/3D Biomedical Imaging to join the team. This is an amazing opportunity to work on cutting edge treatments and make a difference!
Job Title: Computational Image Analysis Scientist - 2D/3D Biomedical Imaging
Pay rate: $39/hr.- $42/hr.
Location: Ridgefield, CT
Job type: 2-year contract
Position Summary
We are seeking a Computational Image Analysis Scientist to develop, optimize, and apply advanced image analysis workflows for 2D and 3D biomedical imaging data. The role focuses on quantitative analysis of histology, immunohistochemistry (IHC), immunofluorescence (IF), and multiplex imaging datasets to support biomarker discovery, translational research, and preclinical/clinical studies.
The ideal candidate combines strong programming and machine learning expertise with hands-on experience in digital pathology and a collaborative mindset for working with multidisciplinary scientific teams.
Key Responsibilities
  • Develop, implement, and optimize image analysis pipelines for 2D and 3D biomedical imaging datasets
  • Perform quantitative analysis of histology, IHC, IF, and multiplex imaging (mIF) data
  • Apply classical image processing and machine learning methods for:
    • Image segmentation
    • Feature extraction
    • Cell detection and classification
  • Analyze and quantify spatial biology and cellular phenotypes from tissue imaging data
  • Integrate and work across digital pathology platforms including:
    • HALO AI
    • Visiopharm
    • QuPath
    • CellProfiler
  • Collaborate closely with pathologists, biologists, and data scientists to define analytical endpoints and experimental design
  • Validate image-derived biomarkers and ensure scientific and analytical rigor
  • Document workflows to ensure reproducibility and regulatory-grade traceability
  • Support interpretation, visualization, and presentation of imaging-derived data for scientific reports and publications
  • Enable cross-lab collaboration through transfer of image analysis workflows and algorithms

Required Qualifications
  • Bachelor's degree with 3+ years of experience, or Master's degree in a relevant scientific discipline (or equivalent experience)
  • Strong proficiency in Python and/or R for scientific computing and data analysis
  • Demonstrated experience in machine learning applied to image data
  • Hands-on experience with digital pathology or biomedical image analysis
  • Experience working with H&E, IHC, and multiplex immunofluorescence (mIF) datasets
  • Proven ability to perform cell segmentation, classification, and marker quantification
  • Experience using at least one digital pathology or image analysis platform (e.g., HALO, Visiopharm, QuPath, CellProfiler)
  • Strong problem-solving skills and ability to work independently in a research-driven environment

Preferred Qualifications
  • Experience in tumor immunology, histopathology, or spatial biology
  • Prior experience in biotech, pharmaceutical, or industry research environments
  • Familiarity with advanced spatial or multiplex imaging technologies

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