Data Science - Computer Vision Intern

Johnson & Johnson

4.2

(92)

San Diego, CA

Why you should apply for a job to Johnson & Johnson:

  • Ranked as one of the Best Companies for Women in 2020
  • 4.2/5 in overall job satisfaction
  • 4.2/5 in supportive management
  • 71% say women are treated fairly and equally to men
  • 88% would recommend this company to other women
  • 85% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Global parental leave for all new parents (maternal, paternal, adoptive or surrogacy-assisted).
  • Global exercise reimbursement.
  • Two weeks off (one of them fully paid) for volunteer work.
  • #2406167012W

    Position summary

    aring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 130 years. We embrace research and science -- bringing innovative ideas, products and services to advance the health and well-being of people. Employees of the Johnson & Johnson Family of Companies work with partners in health care to touch the lives of over a billion people every day, throughout the world.

    Calling all big thinkers and world-changers who want to drive their careers forward across more than 250 leading businesses in consumer, pharmaceutical and medical technology. If you have the talent and desire to touch the world, Johnson & Johnson has the career opportunities to help make it happen.

    Position Components

    In this role, you will work with colleagues in the JNJ Innovative Medicine R&D Data Science & Digital Health organization and partner with key businesses across JNJ Innovative Medicine (formerly Janssen) to apply advanced data science and analytics to answer key research questions. As an intern, you will get the opportunity to work on cutting-edge problems at the intersection of machine learning and healthcare. You will be a member of a dynamic team comprising data scientists and subject matter experts to create and iterate on data science solutions. Projects include, but are not limited to, use of real-world data for modeling and prediction of disease severity and progression, discovery of disease subtypes, risk stratification, and precision medicine using traditional biostatistical methodologies and advanced methodologies from machine learning and/or deep learning. Interns could be located out of our US locations in San Diego, San Francisco, Titusville, Raritan, Spring House, Boston as well as remote.

    Qualifications

    Minimum qualifications:

    • Currently pursuing bachelor's, master's, or PhD degree in Statistics, Biostatistics, Data Science, Computer Science, Electrical Engineering, Computational Biology, Biomedical Informatics, or related quantitative discipline.

    • Proficient in Git, Python

    • Hands on experience in PyTorch

    • Strong working knowledge of Deep Learning/ Machine Learning with hands on knowledge of latest in the field: Transformers/Vision Transformers, Vision Foundational Models, Self Supervised Learning(CLIP, DINOv2), Adapters

    • Experience in analyzing datasets using standard packages: seaborn, matplotlib, sklearn

    • Experience working with AWS(EC2, S3)

    • Ability to conduct thorough literature review and synthesize information from scientific papers

    • Familiarity with predictive modeling and analysis of large datasets.

    • Strong technical communication and presentation skills.

    Preferred qualifications:

    Experience in one or more of the following -

    • Experience working with Medical Imaging data - Histopathology Images, CTs, MRIs, X-Rays

    • Experience in training foundational models for very large datasets from multiple modalities

    • Experience in developing custom self supervised methods for training foundational models for specific modalities

    • Experience in deploying PyTorch models using Docker for end user interaction

    The anticipated base pay for this position is Sophomore $24.00/hr, Junior $25/hr, Senior $27/hr, Master's degree $32/hr.

    This job posting is anticipated to close on 03/12/2024. The Company may however extend this time-period, in which case the posting will remain available on https://https://www.careers.jnj.com to accept additional applications.

    Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

    Why you should apply for a job to Johnson & Johnson:

  • Ranked as one of the Best Companies for Women in 2020
  • 4.2/5 in overall job satisfaction
  • 4.2/5 in supportive management
  • 71% say women are treated fairly and equally to men
  • 88% would recommend this company to other women
  • 85% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Global parental leave for all new parents (maternal, paternal, adoptive or surrogacy-assisted).
  • Global exercise reimbursement.
  • Two weeks off (one of them fully paid) for volunteer work.