Clinical Research Associate I

SHIFT:

Seeking Breakthrough Makers

Children's Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation.

At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care-and your career.

CHOP's Commitment to Diversity, Equity, and Inclusion

CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children.

We strongly encourage all candidates of diverse backgrounds and lived experiences to apply.

A Brief Overview
This role performs clinical research activities with a focus on technical and analytical work in support of the data analysis and data management needs of the team.

Gathering, analyzing, and making recommendations or decisions based on data is key as it relates to manuscript writing and reporting to different federal agencies.

May have minimal patient-facing coordination responsibilities.

About the Laboratory

Aboian Lab/ImagineQuant is seeking a highly qualified and motivated individual at the
postdoctoral or bachelor level. The position will involve implementation and optimization
of novel algorithms for analyzing brain tumor MRI imaging data and dynamic quantitative
PET data. The aim of the research project is to optimize implementation of segmentation
and classification algorithms for brain tumor patients into clinical practice with our
industry collaborator Visage Imaging, our open science collaborative project BraTS, and to
establish neuroimage processing group for animal research at CHOP. The ideal candidate
will have mathematical and statistical expertise, along with natural curiosity and a creative
mind. While performing image post-processing, evaluating algorithm efficiencies, and
optimizing available AI algorithms, this person will be a team member to a dynamic group
of researchers and physicians that explore opportunities in open science, clinical practice
workflow evaluation, and industry collaboration. As part of our team, the data scientist will
accelerate incorporation of advanced PET/MRI imaging into clinical workflows within a
leading pediatric hospital.
Objectives of this role
* Collaborate with clinical AI algorithm product design between clinicians,
researchers, and industry
* Enable smart clinical workflows in radiology by analytics for clinical data analysis
* Research and devise innovative statistical models for data analysis
* Communicate findings to team, collaborators within BraTS (Brain Tumor
Segmentation Challenge), and at national and international conferences

What you will do

• Plan and direct activities, methods, and treatments.
• Collaborate internally to review, improve and promote processes and procedures.
• Manage related data collection, analysis, management and databases / system use.
• Ensure activity compliance and quality control with protocol and regulatory requirements.
• Coordinate compliance, documentation and submissions for regulatory agencies.
• Direct and maintain related documentation, records, and events.
• Assist with activities including assessments, enrollment and collection.
• Assist with researching to develop methodologies, instrumentation and procedures.
• Participate in department presentations and publications.
• Supporting Investigators in grant preparation (draft methods, contribute to strategy component)
• Presentations, Publications, and related development
• Assists in reporting (progress) and methods for applications
• Additional duties may include:
• Patient coordination

Education Qualifications

• Bachelor's Degree Required
• Master's Degree in a related field Preferred

Experience Qualifications

• At least one (1) year quantitative analysis, data management or regulatory research experience Required
• At least three (3) years quantitative analysis, data management or regulatory research experience Preferred
• At least three (3) years of relevant and complex clinical research experience Preferred

Skills and Abilities

• Advanced knowledge of medical terminology
• Intermediate knowledge of clinical research methods
• Intermediate knowledge of international regulations regarding research, Good Clinical Practices (ICH / GCP)
• Intermediate knowledge of HIPPA regulations and policies and procedures governing human subjects research
• Basic knowledge of Institutional Review Board (IRB) processes and policies
• Basic knowledge of research design, data analysis and writing
• Intermediate proficiency with electronic medical record software (EPIC)
• Intermediate proficiency with office software (Microsoft Office) including word processing, spreadsheet, and presentation software (Word, Excel, PowerPoint)
• Basic proficiency with academic / reference management applications (EndNote, Mendeley)
• Basic proficiency with electronic data management systems (REDcap)
• Familiarity with survey software (Qualtrics), online crowdsourcing marketplaces (MTurk) and statistical software (SPSS/SAS) R/Python
• Excellent verbal and written communications skills
• Excellent critical thinking / problem-solving skills

To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more.

Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed.

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