At Johnson & Johnson,?we believe health is everything. Our strength in healthcare innovation empowers us to build a?world where complex diseases are prevented, treated, and cured,?where treatments are smarter and less invasive, and?solutions are personal.?Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.?Learn more at
Job Function:
Career Programs
Job Sub Function:
Non-LDP Intern/Co-Op
Job Category:
Career Program
All Job Posting Locations:
US026 PA Spring House - 1400 McKean Rd
Job Description:
About Innovative Medicine
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at
Position Components
In this role, you will
Engage in hands-on exploration to acquire a comprehensive understanding of biomarker data across oncology, immunology, and neuroscience domains.
Design and construct AI-ready datasets that serve as a foundational resource for advanced analytics and research.
Develop data engineering pipelines to transform, clean, and enrich biomarker data assets in preparation for clinical trials and machine learning applications.
Build backend cloud engineering infrastructure that serves to enable scalable data engineering and machine learning use cases
Stay informed on cutting edge applications and use cases of data and tools, and platform solutions supporting the data science field and present back to the team through trainings and presentation.
Qualifications
Required:
Be currently pursuing a degree in computer science, bioinformatics, engineering, or related degrees
Possess a strong understanding of Statistics, Data Science, Computer Science, Software Engineering, Biomedical Informatics or related field as demonstrated by current or prior coursework
Proficient in SQL with the ability to manipulate and query large datasets effectively, ensuring data readiness for AI applications.
Strong programming skills in Python for data manipulation, analysis, and automation tasks.
Possess strong written and verbal communication and presentation skills (technical and/or business)
Strong interest in the exploration of innovative research using Clinical Biomarker Data, and gaining data domain knowledge
Preferred:
Coursework or background in computer science, information systems, biomedical engineering, and other life sciences
Have prior experience thru other internships/jobs with hands-on data engineering and data science
Prior independent or classroom research experience on a data-focused project
Experience with relevant disease biology in cancer, immunology, and neuroscience disease
Others:
Must be permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
Johnson & Johnson is an 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, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center ([email protected]) or contact AskGS to be directed to your accommodation resource.
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