2023 Experiential Internship - Data & Statistical Sciences (California)
Company: AbbVie
Location: Pocatello
Posted on: January 21, 2023
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Job Description:
ABOUT ABBVIE
AbbVie's mission is to discover and deliver innovative medicines
that solve serious health issues today and address the medical
challenges of tomorrow. We strive to have a remarkable impact on
people's lives across several key therapeutic areas: immunology,
oncology, neuroscience, eye care, virology, women's health, and
gastroenterology, in addition to products and services across its
Allergan Aesthetics portfolio.
For more information about AbbVie, please visit us at
-www.abbvie.com.
Follow -@abbvie -on -Twitter, -Facebook, -Instagram, -YouTube, -and
-LinkedIn.
DATA AND STATISTICAL SCIENCES INTERNSHIP OVERVIEW
Envision spending your summer working with energetic colleagues and
inspirational leaders, all while gaining world-class experience in
one of the most dynamic organizations in the pharmaceutical
industry. This is a reality for AbbVie's Experiential Interns.
Data and Statistical Sciences (DSS), is revolutionizing the drug
development landscape through strategic leadership and operational
excellence. The DSS team pioneers the generation and leverages
scientific evidence to provide new treatments that make remarkable
impact for patients. Statistical sciences provides statistics
support for all phases of clinical development as well as global
medical affairs.
The DSS is group is seeking two interns. The two unique projects
are detailed below:
Data Modeling
The Intern will work on adaptive designs that may improve the
efficiency of drug development and accelerate the approval of new
treatments, especially in oncology trials. The adaptive seamless
design combining Phases II and III into a single trial has shown a
growing interest. Meanwhile, the challenges include but are not
limited to dose selection or control arm selection using short-term
endpoint or long-term unmatured endpoint, combining of
samples/events in Phases II and III stages, trial duration or
sample size assessment, and power evaluation. The Intern will help
build the theoretical foundation of modeling relationships among
clinical endpoints via copula and close the gap between theory and
application of parameter estimation from the possibly unmatured
Phase II data via bootstrap.
Dose Selection
FDA Project Optimus emphasizes dose selection in oncology drug
development and encourages trials that evaluate at least two doses
in a randomized manner. To have two or more doses of the
experimental drug and build dose selection into part of the pivotal
trials and having interim looks to drop dose(s) gradually becomes a
popular approach. There are a few versions of multi-arm multi-stage
model can be use in this type of design. However, among these MAMS
models, to choose a more efficient one and in the meantime, decide
the number and timing of the stages (interim looks) for dose
selection is essential. The intern will work on comparing
stage-wise MAMS and cumulative MAMS approaches, evaluate the impact
of the number and timing of the interim looks, and assess how to
use a short-term endpoint to choose doses and use a long-term
endpoint as the primary endpoint in this MAMS setting. The work
will have a broad impact across oncology molecule teams. It can
potentially help projects increase the power, save sample size,
reduce the duration of clinical trials, and decrease cost.
KEY RESPONSIBILITIES COULD INCLUDE:
Perform literature review
Conduct research on one or more statistical topics
Implement methodologies using R programming
Present project results and learnings
Prepare general guidance on the innovative design
MINIMUM QUALIFICATIONS
Currently enrolled in university, pursuing a PhD in Statistics,
Biostatistics, or related fields
Must be enrolled in university during the internship period
Completed at least one full year of graduate study prior to the
start of the internship
Demonstrated record of accomplishment
PREFERRED QUALIFICATIONS
Expected graduation date between August 2023 and December 2025
Exposure to clinical trial research
Knowledge and experience related to multiplicity control, group
sequential analysis, adaptive design or other advanced designs
Strong programming background using R
Excellent communication skills
BENEFITS AND AMENITIES
Competitive pay
Travel, transportation and lodging support for eligible
students
Break rooms stocked with complimentary coffee, tea, beverages,
snacks, and cold breakfast items
Onsite caf-- and fitness center
Exposure to the pharmaceutical industry and different clinical
therapeutic areas
EQUAL EMPLOYMENT OPPORTUNITY
At AbbVie, we value bringing together individuals from diverse
backgrounds to develop new and innovative solutions for patients.
As an equal opportunity employer we do not discriminate on the
basis of race, color, religion, national origin, age, sex
(including pregnancy), physical or mental disability, medical
condition, genetic information gender identity or expression,
sexual orientation, marital status, protected veteran status, or
any other legally protected characteristic.
Keywords: AbbVie, Pocatello , 2023 Experiential Internship - Data & Statistical Sciences (California), Other , Pocatello, Idaho
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