Image Data Scientist

Motion Recruitment

South San Francisco (CA)

On-site

USD 75,768 - 85,411

Full time

14 days+

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

A staffing and recruiting agency is seeking a Mid-Senior level Image Data Scientist in San Francisco, CA, for a 12-month contract role. The candidate will develop and implement image-processing methods, collaborate with pathologists, and use both traditional and AI-driven approaches to enhance digital pathology workflows. A strong programming background in Python and a passion for biomedical applications are required. The role offers a competitive hourly pay range of $55.00/hr to $62.00/hr.

Qualifications

Strong programming skills in Python, including packages for image segmentation and statistical analysis.
Familiarity with deep learning frameworks such as PyTorch, TensorFlow, and Keras.
Background in biomedical microscopy and/or image analysis.

Responsibilities

Develop and implement image-processing pipelines using conventional, machine learning, and deep learning approaches.
Collaborate with pathologists to tailor image analysis workflows to biological questions.
Perform statistical analyses and create clear data visualizations.

Job description

This range is provided by Motion Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$55.00/hr - $62.00/hr

Direct message the job poster from Motion Recruitment

Strategic Talent Scout | Driving Talent Acquisition & Workforce Growth

Hiring: Image Data Scientist

Location: San Francisco, CA (Local-W2 candidates only)

Duration: 12-Month Contract with possible extension

We are seeking a talented Image Data Scientist to join our Digital Pathology team. This team is dedicated to transforming the analysis of digital histopathology slides by integrating advanced computational techniques into pathology workflows. You will play a key role in developing and applying image-processing methods and pipelines, leveraging both traditional approaches and state-of-the-art AI/ML techniques.

This role requires close collaboration with pathologists, computational scientists, and data scientists to design and execute image analysis workflows that address critical biological questions. The ideal candidate is passionate about biomedical applications, thrives in interdisciplinary collaboration, and is eager to push the boundaries of digital pathology.

Key Responsibilities

Develop and implement image-processing pipelines using conventional, machine learning, and deep learning approaches.
Apply commercially available image analysis software to support pathology workflows.
Perform statistical analyses and create clear data visualizations.
Collaborate with pathologists to tailor image analysis workflows to biological questions.
Partner with computational and data scientists across departments to develop new AI-powered image analysis algorithms.
Strong background in computer science with interest in biomedical sciences.
Proficient programming in Python, including packages for image segmentation and statistical analysis.
Ability to work in an iterative design process and incorporate frequent feedback.
Strong communication and collaboration skills across disciplines.
Enthusiasm for supporting and working closely with team members.
Experience developing algorithms for whole slide image analysis in digital pathology.
Familiarity with commercial digital pathology software (e.g., HALO).
Background in biomedical microscopy and/or image analysis.
Skills in R, MATLAB, and statistical methods.
Proficiency with deep learning frameworks such as PyTorch, TensorFlow, and Keras.
Experience with Amazon EC2 or other cloud computing environments.