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Commission Biomedical Machine Learning Jobs (NOW HIRING)

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Machine Learning Engineer

Austin, TX · On-site

$132.10K - $244.60K/yr

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Machine Learning Engineer

San Jose, CA · On-site

$151.80K - $265.35K/yr

As a Sr. Machine Learning Engineer, you will combine hands-on engineering with architectural ... commission plans. Non-sales roles starting salaries are expressed as base salary and short-term ...

Machine Learning Engineer - MLR

Cupertino, CA · On-site

$181.10K - $318.40K/yr

Play a part in building the next revolution of machine learning technology. We're looking for ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

The machine learning models will drive rapid design iterations by assessing potential risks and ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

The machine learning models will drive rapid design iterations by assessing potential risks and ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Machine Learning Engineer (Search)

Cupertino, CA · On-site

$147.40K - $220.90K/yr

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

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Commission Biomedical Machine Learning information

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How much do commission biomedical machine learning jobs pay per hour?

As of May 29, 2026, the average hourly pay for commission biomedical machine learning in the United States is $28.53, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $32.21 per hour, depending on experience, location, and employer.
What cities are hiring for Commission Biomedical Machine Learning jobs? Cities with the most Commission Biomedical Machine Learning job openings:
What are the most commonly searched types of Biomedical Machine Learning jobs? The most popular types of Biomedical Machine Learning jobs are:
What states have the most Commission Biomedical Machine Learning jobs? States with the most job openings for Commission Biomedical Machine Learning jobs include:
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 10 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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