USAA

BEPC is actively looking for Computational Pathology Scientist in South San Francisco, CA area!

W2 Contract – 1 year with possible extensions!
Benefits include medical, dental, vision, and life insurance
Pay Rate: $52.94 - $62.94 /hour - Determined based on experience

Work Model: Onsite role

Note: This is a W2 only role — C2C, C2H will not be considered

BEPC is seeking a highly motivated Computational Pathology Scientist to join our client’s site in South San Francisco, CA. This role will support the Digital Pathology team, which 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 position involves contributing to the development and application of image-processing methods and pipelines using both conventional 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.

Summary of Duties and Responsibilities:

• Contribute to the development and application of image-processing methods and pipelines using conventional and advanced techniques.
• Perform basic statistical analyses and data visualizations.
• Collaborate closely with pathologists to design and execute image analysis workflows tailored to biological questions.
• Work with computational and data scientists across departments to integrate digital pathology tools into workflows.

Qualifications:

• MS or PhD-level scientist
• Minimum 2 years of experience:
• Strong Programming Foundation: 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, including machine learning for image classification and semantic segmentation.
• Whole-Slide Image (WSI) Handling: Hands-on experience processing and analyzing gigapixel whole-slide images using libraries such as OpenSlide or similar tools.
• Deep Learning: Experience developing and implementing advanced deep learning models for digital pathology using frameworks such as PyTorch, TensorFlow, or Keras.
• High-Performance Computing (HPC): Experience using HPC environments and familiarity with job schedulers, specifically SLURM, for training models on large datasets.
• Collaborative Mindset: Strong aptitude for iterative design and a proactive approach to receiving and incorporating feedback from cross-disciplinary teams.
• Communication Skills: Excellent interpersonal and communication skills, with the ability to explain complex computational concepts to pathologists and biologists.

Preferred Qualifications:

• Advanced Deep Learning: Expertise in developing and implementing advanced deep learning models for digital pathology (e.g., instance segmentation). High proficiency with frameworks such as PyTorch (experience with Detectron2 is a plus), TensorFlow, or Keras.
• High-Performance Computing (HPC): Experience using HPC environments and familiarity with job schedulers like SLURM for large dataset training.
• Commercial Pathology Software: Experience with digital pathology platforms such as HALO, Visiopharm, or QuPath.
• Workflow Orchestration: Experience building and managing data pipelines using tools such as Dagster or Airflow.
• Application Development: Experience building simple GUIs for research tools using Python frameworks like Tkinter or PyQt.
• Cloud Computing: Familiarity with cloud services for model training and deployment, particularly AWS EC2.

About BEPC

BEPC Inc., founded in 2007, is a 100% employee-owned company providing top-tier consulting and staffing solutions across industries like technology, engineering, manufacturing, and project management. At BEPC, we are driven by innovation and a commitment to excellence. We take pride in fostering a collaborative and innovative environment where our team members thrive. With competitive benefits, including medical, dental, vision, and life insurance, BEPC is dedicated to supporting our employees' personal and professional growth.

Apply Now!

Qualified candidates are encouraged to apply by submitting an up-to-date resume that highlights how your experience aligns with the role. Please include specific examples that demonstrate your qualifications. We look forward to connecting with you!

USOPS

Job Type: Contract

Pay: $50.94 - $62.94 per hour

Benefits:

• Dental insurance
• Health insurance
• Life insurance
• Vision insurance

Education:

• Master's (Required)

Location:

• South San Francisco, CA 94080 (Preferred)

Ability to Commute:

• South San Francisco, CA 94080 (Required)

Ability to Relocate:

• South San Francisco, CA 94080: Relocate before starting work (Required)

Work Location: In person