Summer Intern - Image Analysis
Tucson, AZ US
Posted Today
Job/Internship Description
Summer Intern - Image Analysis

United States, Arizona, Tucson

The Summer @ Roche Intern Program has been developed to provide students with a fun yet rewarding summer through hands-on experience and numerous opportunities to network with other interns as well as employees in the organization. Additionally, we help our students meet their career development and educational goals while potentially building a future with the Roche organization. Leveraging the education you received already, we hope to give you an opportunity to grow and develop with us! Additionally, the selected intern will be asked to participate in various intern activities, which may include workshops with leaders in the organization, our mentor program, and our Poster Symposium among other activities. We are seeking a talented individual to work on image processing, image analysis and algorithm development for multiplex immunofluorescence stained images from human tumor tissue specimens. You will be involved in multiplexing assay validation, image scanning and image analysis using fluorescence microscopy scanners. In addition, you will work with our Digital Pathology (DP) team on DP algorithm design and implementation, testing on a large dataset with ground truth, and explore machine learning/deep learning based methods.
  • You're someone who wants to influence your own development. You're looking for a company where you have the opportunity to pursue your interests across functions and geographies. Where a job title is not considered the final definition of who you are, but the starting point.
    • BS, MS or PhD student in the area of Biomedical Engineering, Medical Image Analysis, Machine Learning or Computer Vision.
    • A passion for developing technologies to improve the lives of hundreds of thousands of people.
    • A passion for applying state-of-art machine learning methods to solve challenging practical medical problems.
    • Self-motivated, self-disciplined and ability to work independently.
    • Ability to perform fast prototyping and testing iterations and thinking outside the box to solve practical problems.
    • Solid knowledge and/or experience in one or more of the following areas is highly desired: 1) DP image analysis, 2) machine learning / deep learning, 3) Proficiency with C++ and Python/Matlab to produce quick prototype and high quality code. 4) Familiarity with standard DP image libraries and/or machine/deep learning packages.
    What the intern will learn:
    • Multiplexing assay development and validation on CDx immuo-oncology field.
    • Image scanning and image analysis on fluorescence microscopy scanners.
    • Digital pathology algorithm design, implementation, and testing.
    • Explore machine learning/deep learning based methods.
    Program Requirements
    • Currently enrolled in an accredited college/university during program calendar year 2017.
    • Completed at least 2 years of college/university to be eligible for the program.
    • Must have a =3.0 GPA
    • Minimum availability of 12 weeks
    • Previous experience in the job duties listed, either through course work or industry/academia
    • Participation in student organizations and/or other leadership experience
  • Ventana Medical Systems, Inc. (Ventana), a member of the Roche Group, innovates and manufactures instruments and reagents that automate tissue processing and slide staining for cancer diagnostics. Our integrated staining, workflow management and digitalpathology solutions optimize laboratory efficiency to reduce errors and support diagnosis for pathology professionals. Together with Roche, Ventana is driving personalized healthcare through accelerated drug discovery and companion diagnostics.

    Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual's race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.

    If you have a disability and need an accommodation in connection with the on-line application process, please email us at .

    The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

    • Location United States, Arizona, Tucson
    • Function Development
    • Subfunction Technology and Systems Engin
    • Schedule Full-time
    • Job level Entry Level
    • Job type Internship / Student
    • Division Diagnostics
    • Posted since 2017/11/09
    • Posted until 2017/12/10
    • Job-ID 00454488


Position Summary
Start Date
As soon as possible
Employment Type
Full Time
Period of Employment
Type of Compensation
College Credits Earned
Tuition Assistance
Required Student Status
Preferred Majors
 This company is a Federal Contractor
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