Bioinformatics Analyst

Grade 104

• Job Type: Officer of Administration
• Bargaining Unit:
• Regular/Temporary:
  Regular
• End Date if Temporary:
• Hours Per Week: 35
• Standard
  
  Work Schedule:
• Building:
• Salary Range: 85,000.

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Under the supervision of the lead data scientists and Bioinformatics Director, initiate and complete established data processing pipelines while ensuring compliance with regulatory requirements.

• Work with our Bioinformatics Director to research, design, develop and test new next-generation-sequencing (NGS) bioinformatics pipelines.
• Ensure proficiency in all routine bioanalytical pipelines and data processing algorithms used in the Laboratory of Personalized Genomic Medicine (PGM).
• Facilitate data transfer onto shared server or encrypted external hard‑drives for clinical review by directors, researchers or clinicians.
• Perform backup, storage and purging of sequencing files (e.g., copying, transferring and filing; periodic clearing out of analytical servers).
• Monitor backups of data generated by various instruments across the laboratory.
• Work with senior staff and central IT to establish protocols regarding, and participate in the monitoring, documentation and quality assurance of the above listed activities.
• Strategize with leadership to ensure data management and any future bioinformatics developments in PGM adheres to strict regulatory oversight.
• Perform other informatics/bioinformatics tasks as determined by laboratory leadership.

• Bachelor’s degree in bioinformatics, computational biology, computer science, mathematical science, or data science or equivalent in education and experience, plus three years of related experience.

• Advanced knowledge of commonly used bioinformatics tools and algorithms, writing pipelines for analysis of NGS datasets generated using Illumina sequencing platforms.
• Strong programming and analytical skills.
• Thorough understanding of NGS experimental design, data quality control, genome annotations from major bioinformatics resources (EMBL, NCBI).
• High proficiency in scripting languages such as Shell, Python, Perl, and R in an academic or industrial environment.

• Knowledge of programming languages:
  Bash, R, Perl, Python
• Operating Systems:
  Linux and Windows system

Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.