The student will work closely with the Principal Investigator and lab researchers to analyze whole ... Engineering, Data Science, Bioinformatics, or a closely related quantitative field. Basic ...
The student will work closely with the Principal Investigator and lab researchers to analyze whole ... Engineering, Data Science, Bioinformatics, or a closely related quantitative field. Basic ...
Student Assistant - Pathology
Columbus, OH · On-site
The student will work closely with the Principal Investigator and lab researchers to analyze whole ... Engineering, Data Science, Bioinformatics, or a closely related quantitative field. Basic ...
Student Assistant - Pathology
Columbus, OH · On-site
The student will work closely with the Principal Investigator and lab researchers to analyze whole ... Engineering, Data Science, Bioinformatics, or a closely related quantitative field. Basic ...
Bioinformatics Programmer Analyst information
What is a Bioinformatics Programmer Analyst?
A Bioinformatics Programmer Analyst is a professional who combines knowledge of biology, computer science, and statistics to manage, analyze, and interpret complex biological data, often using programming and software development skills. They typically work with large datasets such as genomic sequences, gene expression profiles, or proteomics data to derive meaningful insights for research or clinical applications. Their role often involves developing software tools, writing scripts for data analysis, and collaborating with biologists and other scientists to solve research problems. Bioinformatics Programmer Analysts are essential in fields like genomics, pharmaceutical research, and personalized medicine.
What are some common challenges faced by Bioinformatics Programmer Analysts when integrating new data types into existing pipelines?
Bioinformatics Programmer Analysts often encounter challenges such as data heterogeneity, inconsistent formats, and varying quality when integrating new data types into established analysis pipelines. Addressing these issues requires careful data preprocessing, validation, and sometimes developing custom scripts or modules to ensure compatibility. Collaboration with biologists and data scientists is essential to understand the context of the new data and to tailor solutions that maintain the reliability and reproducibility of results. Staying adaptable and up-to-date with evolving bioinformatics tools and standards also helps in overcoming these integration challenges.
What are the key skills and qualifications needed to thrive as a Bioinformatics Programmer Analyst, and why are they important?
To thrive as a Bioinformatics Programmer Analyst, you need strong programming skills (such as Python, R, or Perl), a background in biology or bioinformatics, and typically a bachelor's or master's degree in a relevant field. Familiarity with bioinformatics tools, databases (like NCBI, Ensembl), and experience using Linux environments and version control systems (like Git) are essential. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with research teams. These competencies are vital for accurately analyzing biological data and delivering actionable insights in research or clinical settings.
What is the difference between Bioinformatics Programmer Analyst vs Bioinformatics Data Scientist?
| Aspect | Bioinformatics Programmer Analyst | Bioinformatics Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in Bioinformatics, Computer Science, or related field; programming skills | Bachelor's or Master's in Bioinformatics, Data Science, or related; strong statistical and programming skills |
| Work Environment | Research labs, biotech companies, healthcare institutions | Research institutions, biotech firms, healthcare analytics |
| Employer & Industry Usage | Used in biotech, pharma, healthcare for data analysis and software development |
The Bioinformatics Programmer Analyst primarily focuses on developing software tools and analyzing biological data using programming skills. In contrast, the Bioinformatics Data Scientist emphasizes statistical analysis and data modeling to interpret complex biological datasets. Both roles require strong programming knowledge and are common in biotech and healthcare industries, but their core responsibilities differ in software development versus data analysis.
What are popular job titles related to Bioinformatics Programmer Analyst jobs in Ohio? For Bioinformatics Programmer Analyst jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Programmer Analyst jobs in Ohio look for? The top searched job categories for Bioinformatics Programmer Analyst jobs in Ohio are:
What cities in Ohio are hiring for Bioinformatics Programmer Analyst jobs? Cities in Ohio with the most Bioinformatics Programmer Analyst job openings:
Job description
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Responsibilities will be moderate and less routine and will require responsibility and good judgement. May coordinate activities for other student employees. Requires providing excellent customer service, strong organizational skills, and the ability to work in a professional environment. Requires previous experience and knowledge or skill in student assistant role. Represent the department and the university with the highest degree of integrity applying OSU mission and shared values.
Additional Information:Position Summary
The AI4Path Lab is seeking a highly motivated Student Assistant 2 to assist in the development, testing, and validation of artificial intelligence and deep learning models applied to digital pathology and precision oncology.
The student will work closely with the Principal Investigator and lab researchers to analyze whole-slide histopathology images, manage high-performance data pipelines, and conduct literature reviews. This position is ideal for undergraduate or early graduate students looking to gain hands-on experience at the intersection of computer science, data science, and cancer research.
Key Responsibilities
Data Curation & Preprocessing: Assist in pulling, organizing, and preprocessing
large datasets of whole-slide images (WSIs). Implement image tiling, normalization, and quality control pipelines.
AI Model Support: Support the implementation and training of deep learning
architectures (e.g., convolutional neural networks, vision transformers) for tasks
such as cellular segmentation, glandular architecture analysis, and disease
recurrence prediction.
Literature Reviews: Conduct targeted literature reviews on emerging topics in
computational pathology, oncology, and deep learning methods to support ongoing manuscript and grant preparation.
Code Maintenance & Documentation: Document code, maintain shared
repositories (GitHub), and ensure research reproducibility.
Lab Participation: Participate in weekly lab meetings, present project updates, and collaborate with multidisciplinary team members.
Minimum Qualifications
Currently pursuing or recently completed a bachelor's degree in computer science, Biomedical Engineering, Data Science, Bioinformatics, or a closely related
quantitative field.
Basic programming skills in Python.
Familiarity with machine learning and deep learning frameworks (such as PyTorch or TensorFlow).
Excellent communication skills and the ability to work both independently and
collaboratively within a multidisciplinary team.
Desired Qualifications (Nice to Have)
Experience with digital pathology libraries (e.g., OpenSlide, HistomicsTK) or general medical image processing.
Familiarity with high-performance computing (HPC) environments or GPU
acceleration.
A basic understanding of oncology, biology, or clinical data concepts.
Learning Objectives & Benefits
By the end of this internship, the student will have:
Gained direct experience applying state-of-the-art AI methods to real-world, clinical cancer data.
Developed a strong understanding of the digital pathology ecosystem and
institutional research pipelines (including IRB and Honest Broker data workflows).
Had the opportunity to contribute data or writing toward peer-reviewed scientific
abstracts or manuscripts.
Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.
Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions.
The university is an equal opportunity employer, including veterans and disability.
About Ohio State University Research Foundation
Sourced by ZipRecruiter
Industry
Scientific research and development services
Company size
51 - 200 Employees
Headquarters location
Columbus, OH, US