Bioinformatics Technologist I/II

About the role

Join Cleveland Clinic’s Main Campus where research and surgery are advanced, technology is leading‑edge, patient care is world class and caregivers are family. As a Bioinformatics Technologist I or II you will develop, maintain and run software systems and bioinformatic pipelines for processing and analyzing next‑generation sequencing data. The position involves software programming, raw data quality control, sequence alignment, variant calling, annotation and reporting, as well as collaboration with software engineers, computational biologists, and clinical and basic research scientists. The role participates in translational cancer research in the laboratory of Dr. Przybyl, which develops novel liquid‑biopsy testing methods for sarcoma and applies multi‑omic high‑throughput methods to discover diagnostic markers and therapeutic targets.

Responsibilities

• Assist with testing hypotheses, designing studies, and recommending analytical strategies.
• Develop basic statistical, mathematical, and predictive models; build algorithms and perform data analytics.
• Maintain and run software systems for bioinformatics processing of sequence data, including raw data quality control, sequence alignment, variant calling, annotation and reporting.
• Develop and implement workflows for data‑analysis tools in collaboration with research scientists.
• Build and deploy data‑analysis support systems for large datasets, including well‑structured flat files, APIs, and other services.
• Acquire, clean, structure, and manage data from multiple sources to ensure data quality.
• Utilize process‑enhancement opportunities to improve efficiency of data pulling, reporting, programming, and operations.
• Support existing production pipelines.
• Troubleshoot and resolve issues as needed.
• Identify, evaluate, and apply new computational methodologies and emerging technologies to improve existing methods and tools.
• Analyze genomics data in partnership with experimental and computational team members, industry partners, and collaborators.
• Perform literature reviews to learn about gold‑standard data‑analysis methods.
• Write scripts, run analyses, visualize data, and create figures for papers, presentations, and posters.
• Solve problems related to data analysis and adapt published methodologies.
• Prepare data for a variety of research projects.
• Assist lab members, including graduate students and postdoctoral fellows, with training on bioinformatic tools.
• Supervise and train trainees in their quantitative research projects.
• Contribute to research protocols and grant proposals.
• Perform other duties as assigned.

Minimum qualifications – Bioinformatics Technologist I

• Bachelor’s Degree in Systems Biology, Bioinformatics, Computer Science or related field (e.g., Mathematics, Physics, Biology, Business Intelligence).
• Ability to work within a multidisciplinary team of IT professionals, physicians, molecular biologists, computer scientists, and biostatisticians.
• Knowledge of data analytics, mathematical or statistical modeling, or machine learning.
• Experience in bioinformatics software.
• Detailed knowledge of core bioinformatics concepts and skills.
• Experience or willingness to learn R for specialized tasks and integration with data‑analytics workflows.
• Experience producing useful code (personal projects or open‑source contributions are acceptable).
• Demonstrated communication and presentation skills.

Preferred qualifications – Bioinformatics Technologist I

• Proficiency in interpreted languages such as Python or Perl.
• Experience with high‑performance computing clusters.
• Experience analyzing high‑throughput genomic, epigenomic, and transcriptomic data (e.g., microarray, next‑generation sequencing) supported by peer‑reviewed publications.
• Knowledge of Microsoft Office (Word, Excel, PowerPoint, Outlook).

Minimum qualifications – Bioinformatics Technologist II

• Bachelor’s degree in computer science/software engineering/bioinformatics or related field with three years of relevant experience or Master’s degree in a similar field with one year of relevant experience.
• Experience in DNA and RNA‑seq data analysis.
• Solid understanding of all stages of the software development lifecycle.
• Fluency in programming languages (Java, Python, Perl, R), UNIX shell scripting, and database management systems (MySQL or PostgreSQL).
• Experience with common bioinformatics tools (BWA, Bowtie, SAMtools, GATK, MuTect, VarScan, Strelka, STAR).
• Proficiency with Linux/UNIX tools in high‑performance computing cluster (HPC) environments.
• Excellent presentation and communication skills.

Preferred qualifications – Bioinformatics Technologist II

• Experience with single‑cell RNA sequencing data.
• Familiarity with agile software development approaches.
• Experience with cloud computing.
• Experience analyzing high‑throughput genomic, epigenomic, and transcriptomic data (e.g., microarray, next‑generation sequencing) supported by peer‑reviewed publications.
• Knowledge of Microsoft Office (Word, Excel, PowerPoint, Outlook).

Schedule

Days, 8:00 a.m. – 5:00 p.m.