Sr Research Associate, Computational Pathology

Job Description

Job Title: Senior Research Associate – Computational Pathology Scientist

Grade: 25

Location: Santa Monica, CA

Reports To: Sr Director, Nonclinical Safety

Key Responsibilities

· Develop and maintain pathology image analysis workflows using commercial and open-source platforms (e.g., Visiopharm, HALO, QuPath, CellProfiler).

· Collaborate with pathologists and scientists to define image analysis needs and translate biological questions into computational solutions.

· Perform quantitative analysis of histological and immunohistochemical images to support preclinical studies.

· Curate, annotate, and manage large-scale digital pathology datasets.

· Integrate image analysis results with other data modalities (e.g., omics, clinical metadata) to support translational research.

· Analyze spatial transcriptomic and proteomic data to uncover tissue-level molecular patterns and cellular interactions.

· Ensure reproducibility and documentation of workflows, including version control and validation.

· Provide training and support to team members on image analysis tools and best practices.

· Stay current with emerging technologies and methodologies in computational pathology and digital image analysis.

Basic Qualifications

• Bachelor’s degree in Biomedical Engineering, Computer Science, Bioinformatics, or a related field with 2+ years of experience.
• Master’s degree in Biomedical Engineering, Computer Science, Bioinformatics, or a related field with 0+ years of experience.·

Preferred Qualifications

· 2+ years of experience in computational pathology or a related field.

· Proficiency with image analysis software and scripting languages (e.g., Python, R).

· Proficiency with AWS Cloud computing services including Lambda, EC2, S3, Cloudwatch

· Familiarity with histopathology and tissue-based assays.

· Strong analytical and problem-solving skills.

· Excellent communication and collaboration abilities.

· Knowledge of machine learning or deep learning approaches for image analysis.

· Extensive experience with Benching, including Benching API and Benching Apps.

· Substantial knowledge of pathology, cell biology, and molecular biology.

· Familiarity with Laboratory Information Management Systems (LIMS) and database design.

Experience working in a pharmaceutical or biotech research environment.