Data Associate Senior - Division of Informatics
- Employer
- University of Pennsylvania
- Location
- Pennsylvania, United States
- Salary
- Salary Not specified
- Date posted
- Mar 11, 2024
View more
- Position Type
- Faculty Positions, Health & Medicine, Other Health & Medicine
- Employment Level
- Administrative
- Employment Type
- Full Time
Data Associate Senior - Division of Informatics
University Overview
The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023.
Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.
The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.
Posted Job Title
Data Associate Senior - Division of Informatics
Job Profile Title
Research Coordinator Senior
Job Description Summary
This role manages the day-to-day operations for several computational research protocols, with the additional capacity of contributing to original research in data science and artificial intelligence. They will oversee existing project activities, supporting the implementation of new projects in the domain of computational environmental health science, and meeting timelines involved in biological/chemical dataset collection and knowledge representation. They will also manage data using different tools, systems, and machine learning software packages and submit protocol modifications and continuing reviews to the IRB as needed, perform literature review, and write reports and sections of grant proposals and manuscripts for publication. This role will not include any direct patient interaction or enrolling patients in studies, but it may include the retrospective analysis of previously collected patient data. There will also be an opportunity to participate in the design, conduct, and analysis of novel data science methodologies, including but not limited to graph machine learning and large language models (LLMs) for highly heterogeneous environmental and biomedical data.
Job Description
Job Responsibilities
- Analyze data using sophisticated econometric techniques and statistical software
- Develop and support new tools and data science protocols for computational environmental health research, including those that improve the collection, representation, discovery, and dissemination of biomedical knowledge
- Ensure that projects are executed successfully and completed within time frames to meet research objectives
- Lead the development of new data science research protocols that clearly describe research objectives and procedures necessary to test hypotheses
- Participates in process improvement initiatives within the Romano Lab
- Partner with the lab PI and collaborating faculty to facilitate the implementation of their research projects: Plan and execute research study procedures; develop and maintain project related documents including source documents, and maintain open-source code repositories
- Other duties and responsibilities as assigned
The Actual End Date of this position is 7/31/2025 and is contingent upon grant funding
Qualifications
Bachelor of Science and 3 to 5 years of experience or equivalent combination of education and experience is required.
Required:
- Experience programming in Python.
- Experience or training in statistics or machine learning, and working in Unix and high performing environments preferred.
- Must have superior organizational skills
- Must be able to handle multiple tasks simultaneously
Preferred:
- Experience with deep learning, especially graph machine learning
- Experience using a Python-based artificial neural network framework, such as Pytorch, Tensorflow, or similar.
- Ideal candidate will have experience in an academic research setting and function well independently as well as collaboratively.
Job Location - City, State
Philadelphia, Pennsylvania
Department / School
Perelman School of Medicine
Pay Range
$43,919.00 - $60,000.00 Annual Rate
Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, as well as internal and market factors and grade profile.
Affirmative Action Statement
Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.
Special Requirements
Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.
University Benefits
- Health, Life, and Flexible Spending Accounts: Penn
offers comprehensive medical, prescription, behavioral health,
dental, vision, and life insurance benefits to protect you and your
family's health and welfare. You can also use flexible spending
accounts to pay for eligible health care and dependent care
expenses with pre-tax dollars.
- Tuition: Take advantage of Penn's exceptional tuition
benefits. You, your spouse, and your dependent children can get
tuition assistance here at Penn. Your dependent children are also
eligible for tuition assistance at other institutions.
- Retirement: Penn offers generous retirement plans to
help you save for your future. Penn's Basic, Matching, and
Supplemental retirement plans allow you to save for retirement on a
pre-tax or Roth basis. Choose from a wide variety of investment
options through TIAA and Vanguard.
- Time Away from Work: Penn provides you with a
substantial amount of time away from work during the course of the
year. This allows you to relax, take vacations, attend to personal
affairs, recover from illness or injury, spend time with
family—whatever your personal needs may be.
- Long-Term Care Insurance: In partnership with Genworth
Financial, Penn offers faculty and staff (and your eligible family
members) long-term care insurance to help you cover some of the
costs of long-term care services received at home, in the community
or in a nursing facility. If you apply when you're newly hired, you
won't have to provide proof of good health or be subject to
underwriting requirements. Eligible family members must always
provide proof of good health and are subject to
underwriting.
- Wellness and Work-life Resources: Penn is committed to
supporting our faculty and staff as they balance the competing
demands of work and personal life. That's why we offer a wide
variety of programs and resources to help you care for your health,
your family, and your work-life balance.
- Professional and Personal Development: Penn provides an
array of resources to help you advance yourself personally and
professionally.
- University Resources: As a member of the Penn community,
you have access to a wide range of University resources as well as
cultural and recreational activities. Take advantage of the
University's libraries and athletic facilities, or visit our
arboretum and art galleries. There's always something going on at
Penn, whether it's a new exhibit at the Penn Museum, the latest
music or theater presentation at the Annenberg Center, or the Penn
Relays at Franklin Field to name just a few examples. As a member
of the Penn community, you're right in the middle of the
excitement—and you and your family can enjoy many of these
activities for free.
- Discounts and Special Services: From arts and
entertainment to transportation and mortgages, you'll find great
deals for University faculty and staff. Not only do Penn arts and
cultural centers and museums offer free and discounted admission
and memberships to faculty and staff. You can also enjoy
substantial savings on other goods and services such as new cars
from Ford and General Motors, cellular phone service plans, movie
tickets, and admission to theme parks.
- Flexible Work Hours: Flexible work options offer
creative approaches for completing work while promoting balance
between work and personal commitments. These approaches involve use
of non-traditional work hours, locations, and/or job
structures.
- Penn Home Ownership Services: Penn offers a forgivable
loan for eligible employees interested in buying a home or
currently residing in West Philadelphia, which can be used for
closing costs or home improvements.
- Adoption Assistance: Penn will reimburse eligible
employees on qualified expenses in connection with the legal
adoption of an eligible child, such as travel or court fees, for up
to two adoptions in your household.
To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay
To apply, visit https://wd1.myworkdaysite.com/en-US/recruiting/upenn/careers-at-penn/job/Blockley-Hall/Data-Associate-Senior---Division-of-Informatics_JR00087309
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