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Bioinformatics Machine Learning Internship Jobs in Delaware

Manufacturing, process engineering, internship, or co-op experience preferred Skills & Other ... Machining * 3D printing * Competitive engineering teams * Personal technical projects Working ...

Manufacturing, process engineering, internship, or co-op experience preferred Skills & Other ... Machining * 3D printing * Competitive engineering teams * Personal technical projects Working ...

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Bioinformatics Machine Learning Internship information

What is a Bioinformatics Machine Learning Internship?

A Bioinformatics Machine Learning Internship is a temporary position, usually for students or recent graduates, where interns gain hands-on experience applying machine learning techniques to biological data. Interns may work on projects like analyzing genomic sequences, predicting protein structure, or developing algorithms for biomedical research. The role involves coding, data analysis, and collaborating with scientists to solve real-world biological problems. It offers exposure to both computational methods and biological sciences, preparing interns for careers in bioinformatics, data science, or research.

What are the key skills and qualifications needed to thrive as a Bioinformatics Machine Learning Intern, and why are they important?

To thrive as a Bioinformatics Machine Learning Intern, you need a solid background in biology, statistics, and computer science, typically supported by relevant coursework or a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of machine learning frameworks such as TensorFlow or scikit-learn are highly valued. Attention to detail, problem-solving skills, and effective communication help interns collaborate on interdisciplinary teams and interpret complex datasets. These skills ensure interns can contribute meaningfully to research projects, derive insights from biological data, and communicate findings clearly.

What are some typical projects or tasks a Bioinformatics Machine Learning Intern might work on during their internship?

As a Bioinformatics Machine Learning Intern, you'll often contribute to projects that involve developing and testing algorithms for analyzing biological data, such as genomic sequences or protein structures. Typical tasks may include preprocessing large datasets, implementing machine learning models to identify patterns or make predictions, and visualizing results for team discussions. Interns frequently collaborate with both computational scientists and experimental biologists, gaining exposure to interdisciplinary teamwork and real-world applications. This hands-on experience helps interns build both technical and domain-specific skills, preparing them for advanced roles in bioinformatics or data science.

What is the difference between Bioinformatics Machine Learning Internship vs Bioinformatics Data Analyst Internship?

AspectBioinformatics Machine Learning InternshipBioinformatics Data Analyst Internship
Required SkillsProgramming, machine learning, bioinformatics toolsData analysis, statistical skills, bioinformatics tools
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch labs, healthcare, biotech firms
Industry UsageDeveloping algorithms, predictive models in bioinformaticsAnalyzing biological data, generating reports

While both internships involve bioinformatics, the Bioinformatics Machine Learning Internship focuses on developing machine learning models and algorithms, whereas the Bioinformatics Data Analyst Internship emphasizes analyzing biological data and generating insights. Both roles require programming and bioinformatics skills but differ in their core focus and application.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Delaware? The most popular types of Bioinformatics Machine Learning jobs in Delaware are:
What are popular job titles related to Bioinformatics Machine Learning Internship jobs in Delaware? For Bioinformatics Machine Learning Internship jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Machine Learning Internship jobs in Delaware look for? The top searched job categories for Bioinformatics Machine Learning Internship jobs in Delaware are:
What cities in Delaware are hiring for Bioinformatics Machine Learning Internship jobs? Cities in Delaware with the most Bioinformatics Machine Learning Internship job openings:
Infographic showing various Bioinformatics Machine Learning Internship job openings in Delaware as of July 2026, with employment types broken down into 5% As Needed, 76% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.
Open Rank Professor (Continuing Track) Biomedical Engineering Quantitative Systems Pharmacology

Open Rank Professor (Continuing Track) Biomedical Engineering Quantitative Systems Pharmacology

University of Delaware

Newark, DE

Other

Posted 23 days ago


Job description

Open Rank Professor (Continuing Track) Biomedical Engineering Quantitative Systems Pharmacology

Apply now Job no: 502753
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 (Continuing Track) Biomedical Engineering

Quantitative Systems Pharmacology

The Biomedical Engineering Department (BME, www.bme.udel.edu) at the University of Delaware (UD) invites applications for a faculty position in the Continuing Track. This is an open-rank search targeted towards candidates with demonstrated leadership/administrative experience. Candidates from both academia and industry are encouraged to apply. This position will have primary workloads in teaching (e.g., 50%) and service (e.g., 40%), with additional workload in research (e.g., 10%). Ratios in each workload category are negotiable with the candidate 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 (QSP), 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 teach classes in QSP at the graduate level as well as undergraduate classes in related subjects. The candidate will also support the growth and development of the QSP program and foster industry engagement with the program and department.

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.

The continuing track (CT) is UD's full-time, continuing faculty line. CT faculty enjoy contracts that increase in length over time and, like tenure-track faculty, receive full and generous benefits, including family-friendly benefits, as part of their compensation package. CT faculty hold professorial rank and have a path to promotion up to full professor. All CT faculty earn sabbaticals, have opportunities to pursue research, participate in shared governance, and hold academic leadership positions. More information can be found here: https://sites.udel.edu/ctcaucus/why-do-you-want-to-be-a-ct-faculty-at-ud/.

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, 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 biomedical engineering, chemical engineering, pharmacology, electrical engineering, computer engineering, or a closely related field relevant to QSP. For full consideration, applicants should submit a cover letter, curriculum vitae, statement on how they would contribute to program growth through teaching, mentoring, and leadership (max 4 pages), and contact information for at least 3 references. Materials submitted other than those listed above will not be considered. 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 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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