Bioinformatics Team Leader

COMPANY OVERVIEW

JAC's client – an US Brand is looking talent for Bioinformatics Team Leader who will oversee operations and development. They include, but are not limited to, execution of and troubleshooting existing bioinformatics pipelines to analyze multi-omic datasets, fulfilling analytical and technical requests from customers, and contributing to the development of bioinformatics pipelines and applications.

JOB RESPONSIBILITIES

• Recruit, train, and manage a competent and professional bioinformatics team.
• Ensure all bioinformatics tasks are executed and finished by team members, and reports are delivered to customers in a timely manner.
• Troubleshoot and document failures and errors of existing bioinformatics pipelines.
• Carry out simple bioinformatics analyses to satisfy customer requests.
• Communicate with outside scientists and/or customers to understand their various bioinformatics requirements and needs.
• Contribute to the enhancement or new development of bioinformatics pipelines, software, and/or websites in collaboration with outside scientists, when needed.

JOB REQUIREMENTS

 Critical competencies:

• Clear and concise oral and written communications, in the context of biological research.
• Extensive experience in bio-computational programming, scripting, querying or statistical analysis languages such as Python or R, as well as Linux OS for high performance computing.
• Hands-on experience in the analysis of large next generation sequencing and/or microarray datasets.
• Hands-on experience on working with various public and proprietary data repositories, such as TCGA, GTEx, dbSNP, Ensembl, UCSC genome browser, etc.
• Experience with development of bioinformatics pipelines, especially with any workflow languages or packages, such as Snakemake or Nextflow.
• Familiarity with Amazon Web Services EC2 and S3.
• Experience with training others on bioinformatics skills.
• Biological research experience.

Education & Experience

• PhD or master’s in bioinformatics, Computational Biology, Applied Mathematics, Statistics, Epidemiology, Biological sciences, Cancer biology, Genetics, Genomics, Computer science, or a related discipline with a strong record of publications/patents.