Intern - Early Clinical Development - Clinical Imaging

South San Francisco, California
United States

Job ID: 00455203

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The Position



Within this intern role, you will be supporting the Clinical Imaging Group (CIG) within Genentech Research and Early Development (gRED) Early Clinical Development (ECD). CIG provides imaging expertise and oversight to early development clinical trial programs that support the overall development strategies of the gRED portfolio.
 
Machine/deep learning (DL) and radiomics image-derived metrics are tools that, if adequately validated, may be used for patient selection, stratification and early response assessment in future oncology clinical trials. The objectives of this project are to apply DL and radiomics to improve 3D lesion segmentation, identify 'features' at baseline or changes over time that are predictive of clinical outcomes such as progression-free survival and overall survival, and to explore DL or other approaches to whole-body lesion detection, in order to automatically locate known/labeled metastases throughout the body. CT and FDG-PET image datasets from trials in non small cell lung cancer patients and MRI datasets from neoadjuvant trials in early breast cancer patients may be used for training, testing, and validation of DL models, and may be augmented with other available image datasets external to gRED.

You may be required to do the following tasks:
  • Create and curate databases of CT, FDG-PET, and/or MRI measurements along with clinical and imaging parameters
  • Develop software (e.g., using R) for the extraction of information from clinical databases, or for the manipulation of imaging files (e.g., DICOM format)
  • Work with convolutional neural network toolboxes, utilize pre-trained models, and create new training models
  • Perform exploratory data analysis
  • Develop software to perform statistical modeling approaches for response assessment
  • Draft technical documents detailing processing steps
  • Collaborate and gain experience interacting with internal experts in clinical development and imaging
  • Develop a poster or presentation of your results and present at internal imaging groups and broader gRED forums

Who You Are


To be successful in this role, you will be or you will have:
  • BS degree (MS or PhD degree preferred)
  • Excellent computer skills; experience using R, Matlab, Python, FSL or similar programming languages
  • Familiarity with machine learning and deep learning networks (e.g. TensorFlow) and/or radiomics approaches 
  • Basic familiarity with statistical analysis methods
  • Excellent communication skills
  • The ability to collaborate effectively with internal and external (academic) experts 
  • The ability to work independently and proactively in a sustainable fashion with minimal guidance

The statements made in the job description are intended to describe the general nature and level of work being performed by people assigned to this job.  These statements are not intended to be an exhaustive list of all responsibilities, duties and skills required of people assigned to this job.
 
Along with your CV/resume, please provide a cover letter with the reasons why you would like to be an intern in gRED CIG. 

Who We Are

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

The next step is yours. To apply today, click on the "Apply online" button.

Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page.


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