Computational Pathology Scientist

Computational Pathology Scientist
Position Summary
The Computational Pathology Scientist will play a critical role in advancing digital pathology and biomarker discovery initiatives through the development, optimization, validation, and execution of computational pathology workflows and image analysis algorithms. This position combines expertise in histopathology, image analytics, machine learning, and data science to generate quantitative insights from complex tissue datasets and support translational research programs.
The successful candidate will work closely with pathologists, translational scientists, bioinformaticians, data engineers, and laboratory personnel to develop robust computational solutions that improve biomarker identification, tissue characterization, and data-driven decision-making. The role requires hands-on experience with whole-slide image analysis, machine learning applications in pathology, and commercial image analysis platforms such as Halo AI, Visiopharm, QuPath, and CellProfiler.
This individual will be responsible for ensuring analytical rigor, reproducibility, and scientific quality while contributing to the development of innovative computational pathology capabilities within a pharmaceutical or biotechnology research environment. Key Responsibilities
Computational Pathology & Image Analysis

• Develop, optimize, validate, and execute computational pathology algorithms for quantitative analysis of histological and whole-slide imaging data.
• Design image analysis workflows to support tissue characterization, biomarker quantification, cellular phenotyping, and spatial analysis.
• Develop automated image processing pipelines that improve throughput, reproducibility, and data quality.
• Analyze large-scale pathology image datasets using commercial and open-source digital pathology platforms.
• Support the development of image analysis methods for immunohistochemistry (IHC), immunofluorescence (IF), multiplex imaging, and other tissue-based assays.
• Generate high-quality quantitative data to support biomarker discovery and translational research initiatives.

Machine Learning & Data Science

• Apply machine learning and artificial intelligence techniques to histopathological image analysis challenges.
• Develop and optimize classification, segmentation, object detection, and predictive modeling algorithms.
• Perform feature extraction, model training, validation, and performance assessment.
• Evaluate algorithm performance using statistical methodologies and benchmark datasets.
• Collaborate with data scientists and bioinformaticians to integrate computational pathology outputs with other biological datasets.

Biomarker Discovery & Translational Research

• Support biomarker discovery programs by generating quantitative measurements from tissue samples.
• Collaborate with pathologists and translational scientists to identify biologically meaningful image-derived features.
• Contribute to assay development and biomarker validation activities.
• Interpret analytical results and provide scientific recommendations to project teams.
• Support preclinical and clinical research efforts through advanced image analysis methodologies.

Data Quality & Validation

• Establish and execute validation strategies for computational pathology algorithms.
• Perform quality control assessments to ensure analytical accuracy and reproducibility.
• Investigate and troubleshoot data quality issues, image artifacts, and workflow failures.
• Document validation procedures, results, and performance metrics.
• Maintain compliance with scientific and organizational quality standards.

Metadata & Workflow Integration

• Support metadata reconciliation and integration activities associated with digital pathology workflows.
• Assist with development and testing of automated metadata ingestion workflows.
• Ensure image analysis outputs are accurately linked to sample metadata and study information.
• Collaborate with data engineering teams to improve data accessibility and workflow efficiency.
• Contribute to integration of computational pathology workflows into enterprise image management systems.

Scientific Documentation & Communication

• Prepare technical reports, validation summaries, protocols, and scientific presentations.
• Maintain detailed records of analytical methods, workflows, and results.
• Present findings to project teams, stakeholders, and scientific leadership.
• Participate in cross-functional meetings and project governance activities.
• Contribute to publications, presentations, and scientific communications when applicable.

Education Requirements
Required

• Master's degree in:
  • Computational Biology
  • Bioinformatics
  • Biomedical Engineering
  • Computer Science
  • Data Science
  • Pathology
  • Biostatistics
  • Related scientific discipline

Preferred

• PhD in:
  • Computational Biology
  • Biomedical Engineering
  • Bioinformatics
  • Computer Science
  • Pathology
  • Data Science
  • Related field

Experience Requirements
Required

• 3–8 years of post-graduate industry experience.
• Minimum 3 years of experience in computational pathology, digital pathology, image analysis, or related field.
• Experience supporting pharmaceutical, biotechnology, CRO, academic medical center, or translational research environments.

Preferred

• Experience supporting biomarker discovery or translational medicine programs.
• Experience working in regulated research environments.
• Experience collaborating with pathologists and laboratory scientists.

Required Technical Expertise
Computational Pathology

• Whole-slide image analysis
• Digital pathology workflows
• Histopathology image processing
• Tissue segmentation and classification
• Cell detection and phenotyping
• Quantitative pathology methodologies

Machine Learning & Analytics

• Machine learning model development
• Classification and segmentation algorithms
• Computer vision techniques
• Feature engineering
• Statistical analysis and validation
• Predictive modeling

Image Analysis Platforms

• Halo AI (preferred)
• Visiopharm
• QuPath
• CellProfiler
• ImageJ/Fiji (preferred)

Programming & Data Analysis

• Python
• R
• SQL
• Jupyter Notebooks
• Machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)

Data Management

• Metadata reconciliation
• Data quality review
• Workflow automation
• ETL concepts
• Scientific data management

Preferred Qualifications

• Experience with multiplex imaging technologies.
• Experience with immunohistochemistry (IHC), immunofluorescence (IF), and spatial biology assays.
• Familiarity with image management systems and digital pathology repositories.
• Experience with cloud computing environments and high-performance computing platforms.
• Knowledge of translational medicine, oncology, immunology, inflammation, or vaccine research.
• Publication record demonstrating expertise in computational pathology or image analysis.

Estimated Min Rate: $52.50
Estimated Max Rate: $75.00


What’s In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

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