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Quantitative Research Assistant Jobs in Delaware

$170 - $210/hr

... Research) division, or a similar internal Corporate Strategy group * An outstanding ability to analyze problems and apply quantitative analytical approaches * Excellent communication (oral and ...

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Quantitative Research Assistant information

What is a quantitative research assistant?

Quantitative research assistants are professionals who support research projects by collecting, analyzing, and interpreting numerical data. They often use statistical software to manage datasets, perform statistical analysis, and help prepare reports or presentations based on their findings. These assistants typically work in academic, scientific, or business settings and collaborate closely with lead researchers or data scientists. Their work helps ensure that research conclusions are based on rigorous and accurate quantitative analysis.

What are the key skills and qualifications needed to thrive as a quantitative research assistant?

To thrive as a Quantitative Research Assistant, you need strong analytical skills, proficiency in statistical methods, and a relevant degree in fields like mathematics, statistics, or economics. Familiarity with statistical software such as R, Stata, SPSS, or Python, as well as experience with data management systems, is typically required. Attention to detail, problem-solving abilities, and effective communication are key soft skills that set candidates apart. These skills are essential for ensuring the accuracy, reliability, and clarity of research findings, which directly impact the quality and credibility of quantitative research projects.

What are some common challenges quantitative research assistants face when managing large datasets, and how can these be addressed?

Quantitative Research Assistants often work with large, complex datasets that can present challenges such as data cleaning, ensuring accuracy, and maintaining data integrity. Handling missing values, outliers, or inconsistent formats requires attention to detail and strong technical skills in statistical software like R, Python, or SPSS. Collaborating closely with research teams can help clarify data requirements and resolve ambiguities early on. Regularly documenting procedures and validating data at each stage helps minimize errors and ensures reliable analysis results.

What is the difference between Quantitative Research Assistant vs Data Analyst?

AspectQuantitative Research AssistantData Analyst
Required CredentialsBachelor's degree in statistics, economics, or related fieldBachelor's or master's in data science, statistics, or related field
Work EnvironmentResearch institutions, universities, market research firmsCorporate, finance, healthcare, or tech companies
Employer & Industry UsageAcademic and research settings, market research firmsBusiness analytics, finance, marketing departments
Common Search & ComparisonOften compared for data handling and research tasksCompared for data processing and reporting roles

The main difference is that Quantitative Research Assistants focus on supporting research projects with data collection and analysis in academic or research settings, while Data Analysts typically work in business environments analyzing data to inform decisions. Both roles require strong quantitative skills and similar educational backgrounds, but their work environments and primary objectives differ.

What are the most commonly searched types of Quantitative Research jobs in Delaware?

The most popular types of Quantitative Research jobs in Delaware are:

What are popular job titles related to Quantitative Research Assistant jobs in Delaware?

For Quantitative Research Assistant jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Quantitative Research Assistant jobs in Delaware look for?

The top searched job categories for Quantitative Research Assistant jobs in Delaware are:

What cities in Delaware are hiring for Quantitative Research Assistant jobs?

Cities in Delaware with the most Quantitative Research Assistant job openings:

Open Rank Professor (Tenure-Track/Tenured) in Biomedical Engineering Quantitative Systems Pharmacolo

University of Delaware

Newark, DE • On-site

Full-time

Re-posted yesterday


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Job description

Open Rank Professor (Tenure-Track/Tenured) in Biomedical Engineering Quantitative Systems Pharmacology
Job no: 502754
College / VP Area: College of Engineering
Work type: Faculty
Location: Newark, DE
Categories: Biomedical Engineering, Full Time
Open Rank Professor (Tenure-Track/Tenured) in
Biomedical Engineering

Quantitative Systems Pharmacology
The Biomedical Engineering Department (BME, www.bme.udel.edu) at the University of Delaware (UD) invites applications for a tenure-track/tenured professor with a research focus in Quantitative Systems Pharmacology (QSP). This is an open-rank search targeted towards candidates with demonstrated leadership/administrative experience. This position will have workloads in research, teaching, and service , with the ratio in each category to be negotiated with the department chair and subject to change based on departmental needs. A major component of this position will be to serve as Director of the new M.S. program in Quantitative Systems Pharmacology, which launched in 2025. This innovative new program prepares students to apply QSP to model-informed drug development at all stages of the drug development pipeline. The ideal candidate for this position will perform research in QSP and teach classes in QSP at the graduate level. They may also teach undergraduate classes in related subjects. As Director of the QSP Program, the candidate will support program growth and development through innovative industry engagement and/or research.
The vision for growing the QSP program includes: (1) Building the M.S. class sizes to 30+ students per year; (2) Building 4+1 degree offerings; (3) Building online/certificate degree programs; (4) Building relationships with pharmaceutical companies, QSP professional societies, and the FDA to enable internships and industry-sponsored research and design projects; (5) Creating a pipeline for the best M.S. students to fuel our Ph.D. program and research in this area, and; (6) Leveraging our footprint in this area to support existing department research. To meet these goals, the ideal candidate would: Increase our visibility and reputation in the area, use their network to facilitate the relationship building described above, be able to teach existing QSP classes and develop exciting new classes, and build our research portfolio in QSP.
Launched in 2010, UD BME is ABET accredited with world class research programs in disease modeling, drug delivery, nanomedicine, neuroengineering, musculoskeletal biomechanics, and cell and tissue engineering. Biomedical systems modeling, instrumentation, imaging, and data analysis are built into the BME curriculum at both the undergraduate and graduate levels. UD BME has a strong history of collaboration between experimental and computational researchers. UD BME strives for an inclusive and supportive learning environment and has ambitious plans for continued growth. Successful applicants will share our vision to be a BME department that is recognized for high impact research and for delivering an exceptional engineering education. We seek creative and visionary individuals, who are eager to work in a collaborative, interdisciplinary environment, have demonstrated research excellence, have the drive to be leaders in their field, and are capable of developing and teaching outstanding courses and contributing to a climate that attracts and affirms students from various backgrounds.
UD BME has new state-of-the-art research laboratories located on the STAR (Science, Technology, and Advanced Research) campus, a hub of health and innovation at UD. Core facilities include: the Delaware Center for Musculoskeletal Research (DCMR) Multiscale Assessments Research Core (attached to the UD vivarium and includes multiple small animal imaging systems and biomechanical testing systems), the Center for Biomedical and Brain Imaging (3T human and 9.4T small animal/specimen MRI), the Delaware Biotechnology Institute (containing our world-class Bio-Imaging Center, DNA sequencing & genotyping, bioinformatics, and proteomics cores), Nanofabrication (cleanroom, materials characterization, and advanced microscopy), and core labs for human-based studies. Access to active outpatient clinics is fostered through long-standing partnerships with an outstanding Physical Therapy department. UD BME also enjoys close relationships and opportunities for innovative clinical and translational collaborations with Nemours/Alfred I. duPont Hospital for Children, Thomas Jefferson University, the University of Pennsylvania, and others. UD is home to several outstanding institutes, including the Institute for Engineering Driven Health, the Data Science Institute, and the National Institute of Innovation in Manufacturing Biopharmaceuticals (NIIMBL). The campus in Newark, Delaware provides a vibrant college town with convenient access to the major cities of the East Coast.
Candidates must have a Ph.D. degree in engineering or a related field relevant to QSP. For full consideration, applicants should submit a cover letter, curriculum vitae, research statement (max 4 pages), a statement on teaching, mentoring, and leadership (max 4 pages), and contact information for at least 3 references for consideration. Materials submitted other than those listed above will not be considered. In the research statement, candidates are encouraged to describe both their past research and vision for the future. In the section of the statement addressing teaching and mentoring, candidates are invited to describe their teaching philosophy, including their preferred strategies for delivering content in in-person and online settings. In the statement, candidates are welcome to describe their plans to connect their teaching activities with scholarship activities in QSP or biomedical engineering. In the section devoted to leadership and service, candidates are encouraged to describe their experience in administrative roles, program or initiative development, and industry engagement. References will not be contacted prior to notifying the candidate. For priority consideration, applications must be received by March 1st, 2026, although the search will remain open until the position is filled.
For information, please contact the Search Committee Chair Emily Day (emilyday@udel.edu).
The University of Delaware values inclusive excellence and is committed to fostering a community where all students, faculty, and staff can thrive. Persons from all backgrounds are encouraged to apply.
The University of Delaware is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, or status as a protected veteran, as well as any other status or condition protected by applicable federal, state, or local law. For the University's complete non-discrimination statement, please visit www.udel.edu/aboutus/legalnotices.html.
Notice of Non-Discrimination and Equal Opportunity
The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VI and VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence.
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