The Computational Pathology Scientist will join the Translational Safety Pathology team and perform pre-clinical pathology assessments of risk. Within this group, the Digital Pathology team focuses on revolutionizing the analysis of digital histopathology slides by leveraging computational methods to enhance pathological evaluations traditionally performed solely by humans. The objective is to integrate cutting-edge digital and computational techniques into pathology workflows and develop computational tools to support pathologist-driven identification and interpretation of findings.
This is a 6-month contract based in South San Francisco, California.
Responsibilities
- This role involves contributing to the development and application of image-processing methods and pipelines using both conventional techniques and advanced techniques, such as machine learning and deep learning.
- The successful candidate should be proficient with commercially available image analysis software and able to perform basic statistical analyses and data visualizations.
- Ideally, the candidate will also contribute to the development and implementation of new AI-powered image analysis algorithms and should have programming expertise, particularly in Python.
- The role requires close collaboration with pathologists to design and execute image analysis workflows tailored to biological questions, as well as working with computational and data scientists across various departments.
- Strong interpersonal and communication skills, as well as a passion for interdisciplinary collaboration, are essential.
Qualifications
- Masters or PhD-level scientist and Minimum 5 years of experience
- Strong Programming Foundation: Demonstrated proficiency in Python and its scientific computing ecosystem, including libraries like NumPy, Pandas, Scikit-learn and OpenCV.
- Version Control: Proficiency with version control systems, particularly Git, and experience with collaborative platforms like GitHub or GitLab.
- Computer Vision & Image Analysis: Solid experience in both classical and modern image analysis techniques. This includes traditional image processing and applying machine learning for tasks like image classification and semantic segmentation.
- Whole-Slide Image Handling: Hands-on experience processing and analyzing gigapixel whole-slide images, using libraries such as OpenSlide or similar tools.
- Advanced Deep Learning: Deep expertise in developing and implementing advanced deep learning models for digital pathology, including for tasks like instance segmentation.
- High proficiency with at least one major framework such as PyTorch (experience with object detection libraries like Detectron2 is a plus), TensorFlow, or Keras.
- High-Performance Computing (HPC): Experience using HPC environments and familiarity with job schedulers, specifically SLURM, for training models on large datasets.
- Commercial Pathology Software: Practical experience with commercial digital pathology platforms (e.g., HALO, Visiopharm, or QuPath).
- Workflow Orchestration: Experience building and managing data pipelines with workflow orchestration tools such as Dagster or Airflow.
- Application Development: Experience building simple graphical user interfaces (GUIs) for research tools using Python frameworks like Tkinter or PyQt.
- Cloud Computing: Familiarity with cloud computing services for model training and deployment, particularly Amazon Web Services (AWS EC2)
Pay
Why Choose R&D Partners?
As an employee, you have access to a comprehensive benefits package including:
- Medical insurance – PPO, HMO & HSA
- Dental & Vision insurance
- 401k plan
- Employee Assistance Program
- Long-term disability
- Weekly payroll
- Expense reimbursement
- Online timecard approval
R&D Partners is a global functional service provider and strategic staffing resource specializing in scientific, clinical research & engineering. We provide job opportunities within major pharmaceutical, biopharmaceutical, biotechnology, and medical device companies.
R&D Partners is an equal-opportunity employer.
