"Bioinformatics Analyst"

Job Description Summary

The Bioinformatics Analyst is a key member of our research team, responsible for applying computational methods and statistical techniques to analyze and interpret large-scale biological data. The role involves developing and executing data processing workflows for next-generation sequencing (NGS) data and other 'omics' datasets. The ideal candidate has a strong background in computational biology and is adept at collaborating with multi-disciplinary scientific teams to drive biological discovery and advance research goals.

Job Responsibilities

• Data analysis: Process, analyze, and interpret high-throughput sequencing data, including genomic, transcriptomic (RNA-Seq), and single-cell sequencing data.
• Pipeline development: Design, implement, and optimize robust bioinformatics pipelines and workflows for efficient data processing, quality control, and analysis.
• Collaboration: Work closely with wet-lab biologists, clinicians, and other scientists to understand research objectives, formulate analysis plans, and interpret results.
• Documentation: Maintain meticulous records of analysis workflows, code, and methodology to ensure reproducibility and transparency.
• Data management: Assist with the management, storage, and retrieval of large biological datasets.
• Visualization: Create and deliver effective data visualizations and reports to communicate findings to technical and non-technical audiences.
• Continuous learning: Stay up-to-date with the latest developments in bioinformatics, computational biology, and related fields by reading scientific literature and testing new software.
• Tool support: Provide technical support and training to researchers on the use of bioinformatics tools and resources.
• Other duties and responsibilities as assigned

Qualifications

• Bachelor of Science and 3 to 5 years of experience or equivalent combination of education and experience is required. Master's degree in Bioinformatics, Computational Biology, Computer Science, Genetics, or a related field preferred.
• Proficiency in programming and scripting languages, such as Python and R.
• Solid experience with standard bioinformatics tools and software packages (e.g., Bowtie, GATK, DESeq2).
• Experience with Next-Generation Sequencing (NGS) data analysis.
• Strong understanding of molecular biology and genomics concepts.
• Experience with statistical analysis techniques as applied to biological data.
• Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) and high-performance computing (HPC) environments is a plus.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Effective communication skills, with the ability to explain complex technical concepts to diverse teams.
• Ability to work independently and manage multiple projects in a fast-paced, collaborative environment.

This position is contingent upon grant funding.

Job Location - City, State: Philadelphia, Pennsylvania

Department / School: School of Veterinary Medicine

Pay Range: $57,500.00 - $67,000.00 Annual Rate