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Computational Research Assistant Jobs in Delaware

Computational Research Assistant information

How does a Computational Research Assistant typically collaborate with principal investigators and other team members during a research project?

Computational Research Assistants often work closely with principal investigators (PIs), postdoctoral researchers, and other team members to design, implement, and analyze computational experiments. They are responsible for developing scripts, managing datasets, and ensuring the reproducibility of results. Regular meetings and progress updates are common, and assistants are expected to communicate findings clearly and troubleshoot technical issues collaboratively. This role requires both independent initiative and a strong team-oriented approach to meet research objectives efficiently.

What are the key skills and qualifications needed to thrive as a Computational Research Assistant, and why are they important?

To thrive as a Computational Research Assistant, you need strong analytical skills, proficiency in programming languages like Python or R, and a background in mathematics, statistics, or computer science. Familiarity with data analysis tools, version control systems (such as Git), and experience using high-performance computing environments or relevant software is typically required. Attention to detail, problem-solving ability, and effective communication help you collaborate with research teams and interpret complex results. These skills and qualities are crucial for producing accurate, reliable research outcomes and supporting innovative scientific investigations.

What are Computational Research Assistants?

Computational Research Assistants are professionals who support scientific and academic research projects by applying computational methods, programming, and data analysis techniques. They often work with researchers to develop models, run simulations, analyze large datasets, and assist in the interpretation of results. Their work is essential in fields such as biology, physics, social sciences, and engineering, where complex data and computational tools are required to conduct research. Typically, they have strong skills in programming languages like Python, R, or MATLAB, and possess a background in the relevant scientific discipline.

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

AspectComputational Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fieldsBachelor's or Master's in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness, finance, healthcare, or marketing sectors
Employer & Industry UsageAcademic and research institutions, government agenciesCorporations, consulting firms, government agencies
Common Search & ComparisonYesNo

The Computational Research Assistant and Data Analyst roles share similarities in data handling and analytical skills, but differ mainly in their focus. Computational Research Assistants typically work in research settings, supporting scientific projects with programming and modeling, while Data Analysts focus on interpreting data to inform business decisions. Both roles require strong technical skills and relevant education, but their work environments and primary objectives differ.

What are popular job titles related to Computational Research Assistant jobs in Delaware? For Computational Research Assistant jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Computational Research Assistant jobs in Delaware look for? The top searched job categories for Computational Research Assistant jobs in Delaware are:
What cities in Delaware are hiring for Computational Research Assistant jobs? Cities in Delaware with the most Computational Research Assistant job openings:
Open Rank Professor (Tenure-Track/Tenured) in Biomedical Engineering Quantitative Systems Pharmacolo

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

University of Delaware

Newark, DE • On-site

Full-time

Posted 28 days ago


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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
Curious about the full value of working at UD? In addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package.
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 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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