Computational Pathology Scientist

Details for the position are as follows: • 6 month contract to start with the possibility of extension or conversion depending on performance and business needs • Rate: $50-62 an hour • Location: South San Francisco, CA - 100% onsite • Interview process: 1. Virtual 2. Onsite Job Description: • We are seeking an Image Data Scientist to join the Digital Pathology team in a contract capacity. This individual will contribute to the development and implementation of advanced image analysis pipelines and computational workflows supporting digital pathology initiatives. • The role combines computer vision, machine learning, deep learning, and image-processing expertise to improve pathology data analysis and support biologically meaningful interpretation of complex image datasets. The ideal candidate will have strong Python programming skills, hands-on experience with image analysis and machine learning workflows, and a collaborative mindset suited for interdisciplinary scientific environments. • The ideal candidate is a collaborative and technically strong computational scientist who is passionate about applying AI and computer vision approaches to biomedical research and digital pathology. This person thrives in cross-functional environments, communicates effectively with both technical and non-technical stakeholders, and enjoys solving complex biological problems through computational innovation. • Develop and apply image-processing pipelines using both traditional computer vision approaches and advanced machine learning/deep learning techniques. • Analyze and process large-scale digital histopathology and whole-slide imaging (WSI) datasets to support pathology evaluations and biological discovery efforts. • Collaborate closely with pathologists to design customized image analysis workflows aligned with scientific and translational research objectives. • Contribute to the development and implementation of AI-powered image analysis algorithms for pathology applications, including image classification, segmentation, and related computer vision tasks. • Perform statistical analyses, data interpretation, and data visualizations to support scientific decision-making. • Partner with computational scientists, data scientists, and cross-functional research teams to continuously improve digital pathology workflows and analytical approaches. • Support reproducible and scalable computational workflows using modern software development and version control practices. Required Skills: • MS or PhD in Data Science, Computer Science, Bioinformatics, Computational Biology, Biomedical Engineering, or a related quantitative discipline. • Minimum of 5 years of relevant experience in image analysis, computer vision, machine learning, or computational pathology. • Strong Python programming skills and experience working within the scientific computing ecosystem, including libraries such as NumPy, Pandas, Scikit-learn, and OpenCV. • Hands-on experience with classical and modern computer vision/image analysis methods, including machine learning-based image classification and semantic segmentation approaches. • Experience processing and analyzing whole-slide images (WSI) or other large-scale imaging datasets using tools such as OpenSlide or similar libraries. • Experience with version control systems such as Git and collaborative development platforms including GitHub or GitLab. • Excellent communication and interpersonal skills with the ability to collaborate effectively across multidisciplinary scientific teams. Preferred Qualifications: • Deep learning expertise using frameworks such as PyTorch, TensorFlow, or Keras. • Experience developing advanced deep learning models for digital pathology applications, including instance segmentation and object detection workflows. • Familiarity with object detection frameworks such as Detectron2. • Experience working within High-Performance Computing (HPC) environments, including use of SLURM or similar job schedulers. • Experience with commercial digital pathology software platforms such as HALO, Visiopharm, or QuPath. • Knowledge of workflow orchestration and pipeline management tools such as Dagster or Airflow. • Experience developing lightweight research GUIs using Python frameworks such as Tkinter or PyQt. • Familiarity with cloud computing environments, particularly AWS EC2, for model training and deployment. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at Privacy Policy