Computational Pathology Scientist

Overview

We are currently seeking a highly skilled Computational Pathology Scientist to join a well-known client’s team in South San Francisco, CA. This role focuses on advancing preclinical pathology assessments through innovative digital pathology and computational image analysis.

Responsibilities

• Develop and implement image analysis pipelines for digital histopathology using both classical and advanced (ML/DL) techniques.
• Perform quantitative analysis of whole-slide images (WSI) and digital pathology datasets.
• Apply computer vision, machine learning, and deep learning methods for tasks such as segmentation, classification, and feature extraction.
• Collaborate closely with pathologists and biologists to design and execute image analysis workflows aligned to scientific questions.
• Contribute to the development and deployment of AI-driven image analysis algorithms.
• Utilize commercial platforms such as HALO, Visiopharm, or QuPath when appropriate.
• Perform statistical analysis and data visualization to support the interpretation of results.
• Maintain well-documented, reproducible workflows and adhere to best practices (e.g., version control, pipeline documentation).
• Participate in cross-functional collaborations and knowledge sharing across teams.

Experience

• 5+ years of relevant experience in computational biology, data science, bioinformatics, or related field.
• Demonstrated expertise in Python programming and scientific computing libraries (NumPy, Pandas, Scikit-learn, OpenCV).
• Strong experience in computer vision and image analysis, including both classical and machine learning approaches.
• Hands-on experience with whole-slide image (WSI) processing using tools such as OpenSlide or similar.
• Experience with version control systems (Git) and collaborative development environments.

Preferred

• Expertise in deep learning frameworks (PyTorch, TensorFlow, Keras; Detectron2 a plus).
• Experience in digital pathology platforms (HALO, Visiopharm, QuPath).
• Experience with high-performance computing (HPC) environments and job schedulers (e.g., SLURM).
• Familiarity with workflow orchestration tools (e.g., Airflow, Dagster).
• Experience with cloud computing platforms (e.g., AWS).
• Experience building lightweight GUI tools for research workflows.
• Background in tumor pathology, histopathology, or immunology.

Education

• Master’s or PhD in Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, or a related discipline required.

Strengths

• Strong programming expertise with a focus on Python-based scientific computing.
• Deep understanding of image analysis and computational pathology workflows.
• Excellent problem-solving skills with the ability to translate biological questions into computational solutions.
• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Collaborative mindset and ability to work effectively across multidisciplinary teams.
• Attention to detail with a strong focus on reproducibility and data integrity.
• Proactive, innovative approach with a passion for advancing digital pathology and AI applications.

Benefits

Full-time employees are also eligible for benefits options such as health coverage, life insurance, disability insurance, and 401k benefits.