Summer Intern Statistics Dec Sci

Johnson & Johnson Innovative Medicine•Ambler, PA

2d•Hybrid

About The Position

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. Caring 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. Johnson & Johnson is the world's most comprehensive and broadly-based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices markets. Johnson & Johnson employs over 125,000 people with products touching the lives of over a billion people every day, throughout the world. If you have the talent and desire to touch the world, Johnson & Johnson has the career opportunities to help make it happen. Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer. J&J Innovative Medicine Research & Development, L.L.C, a member of Johnson & Johnson's Family of Companies, is recruiting for Statistics & Decision Sciences Summer Interns for our Raritan, NJ, Titusville, NJ, Spring House, PA, and La Jolla, California locations. Virtual internships are potentially available. For Statistics & Decision Sciences (SDS), summer internships are available for undergraduate and graduate students working towards a degree in Statistics, Biostatistics, or a related Quantitative discipline. There are up to 10 positions available. Students will have the opportunity to work with practicing statisticians and computing science specialists and to learn about practical, applied statistical needs and solutions specific to clinical or nonclinical pharmaceutical industry settings. Our teams benefit from the student's academic training and in turn contribute to the further professional development of the student as well as have a first-hand opportunity to evaluate the student's potential for future employment. In this role, students will be involved in activities such as:

Requirements

Candidates must be enrolled in an accredited college/university pursuing (not necessarily taking classes) and pursuing the following degrees: Biostatistics, Statistics, or a related Quantitative discipline.
Candidates must be available to work 10-12 weeks from May - August and have the ability to work full-time during that time.
Candidates must be legally authorized to work in the United States, as Permanent Residents or United States Citizens, and not require sponsorship for employment visa status (e.g. H1-B status) now or in the future.
Candidates must be detail-oriented, highly organized and able to manage multiple tasks.
Candidates must have the ability to work individually (independently) as well as on a team.
A minimum G.P.A. of 3.0 is strongly preferred.
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.

Nice To Haves

Demonstrated leadership is preferred.
Proficiency in R is preferred.
Participation in campus/community service activities is desired.

Responsibilities

Supporting Research and Development in areas that range from Drug Discovery through Phase 2 and 3 clinical studies and concurrently, Pharmaceutical Manufacturing
Data preparation, graphical exploration of data, statistical model building and analyses, report writing, and writing of computer programs or software applications associated with the statistical analyses.
Designing experiments, conducting simulations to evaluate optimal designs, and participation in methodological development.