Bioinformatics Technologist I/II

Cleveland Clinic • Cleveland, OH

2d • Onsite

About The Position

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. Here, you will work alongside a passionate and dedicated team, receive endless support and appreciation, and build a rewarding career with one of the most respected healthcare organizations in the world. 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. In this role, you will perform software programming in various languages, including raw data quality control, sequence alignment, variant calling, annotation and reporting. You will provide input to develop software and data analysis solutions, complete department tasks and provide ongoing support for existing databases and software while working collaboratively with software engineers, computational biologists, and clinical and basic research scientists. This role will participate in translational cancer research. The laboratory of Dr. Przybyl develops novel, clinically applicable liquid biopsy testing methods for sarcoma and applies multi-omic (genomic, transcriptomic, proteomic and methylome) high-throughput methods to discover new diagnostic markers and therapeutic targets in sarcomas. In this role, you will build bioinformatic pipelines, analyze high-throughput data and interpret results using statistical techniques. You will also develop and implement data analyses, acquire data from primary or secondary data sources and maintain databases. We will hire our Bioinformatics Technologist in two different job titles, based on educational background: Bioinformatics Technologist, Bioinformatics Technologist II. A caregiver in this role works days from 8:00 a.m. -- 5:00 p.m.

Requirements

• Bachelor's Degree in Systems Biology, Bioinformatics, Computer Science or related field (such as Mathematics, Physics, Biology, Business Intelligence)
• Ability to participate within a multidisciplinary team of IT professionals, physicians, molecular biologists, computer scientists, and biostatisticians
• Possess knowledge of conducting data analytics, math 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 (not necessarily in context of employment - personal projects or contributions to open-source projects are applicable)
• Demonstrated experience in communication/presentation skills
• Bachelor’s degree in computer science/software engineering/bioinformatics or related field and three years of relevant experience OR Master’s degree in a similar field and one year of relevant experience
• Experience in DNA and RNA-seq data analysis
• Solid understanding of all stages of software development cycle
• Fluency in programming languages (Java, Python, Perl, R), UNIX shell scripts 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 clusters (HPC) environment
• Excellent presentation and communication skills

Nice To Haves

• Proficiency in interpreted languages; Python or Perl
• Experience with high-performance computing cluster
• Experience analyzing high-throughput genomic, epigenomic and transcriptomic data (e.g., microarray data, next generation sequencing data) supported by published peer-reviewed studies
• Knowledge of Microsoft Office (Word, Excel, Power Point and Outlook)
• Experience with single-cell RNA sequencing data
• Familiarity with agile software development approach
• Experience with Cloud Computing
• Experience analyzing high-throughput genomic, epigenomic and transcriptomic data (e.g., microarray data, next generation sequencing data) supported by published peer-reviewed studies
• Knowledge of Microsoft Office (Word, Excel, Power Point and Outlook)

Responsibilities

• Assist with testing hypotheses and designing studies and recommending analytical strategies.
• Develop basic statistical, mathematical and predictive models, build algorithms and perform data analytics.
• In collaboration with bioinformatics specialists, 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 types of services.
• Acquire, clean, structure and manage data from multiple sources to ensure data quality.
• Utilize process enhancement opportunities to improve the 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 troubleshoot 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.

Benefits

• The compensation range provided corresponds to the Bioinformatics Technologist I or Bioinformatics Technologist II position. Individual pay rates may vary depending on Education Background and Relevant Experience

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level