Senior Computational Genomics Specialist

5 days ago

Singapore beBeeBioinformatics Full time
Bioinformatics Expert for NGS Data Analysis
We are seeking an experienced individual with a strong background in computational genomics to join our team. Our focus is on delivering high-quality single-cell multi-omics analysis to academic and biotech customers. We require expertise in one or more of the following areas:
  • Single-cell characterization (scRNA-Seq)
  • Gene expression analysis (RNA-Seq, Pathway analysis)
  • Bioinformatics skills include programming, analytical pipeline development, data visualization, and experience in cloud computing platforms (such as AWS, etc)
Key Responsibilities:
  • Collaborate closely with wet lab scientists and customer support to analyze and interpret single-cell and multi-omics data.
  • Develop, test, maintain, and optimize analytical pipelines.
  • Communicate experimental designs and results to both experts and non-experts.
  • Plan and prioritize tasks to ensure timely delivery of results.
Minimum Qualifications:
  • MS or PhD with experience in computational biology, bioinformatics, or a related field.
  • A proven track record in analyzing and interpreting genomic and NGS data.
  • Demonstrated ability to work closely with project teams and/or experimental collaborators to design studies and develop analyses to answer scientific questions.
  • Familiarity with relevant analytical approaches and underlying assumptions.
  • Detail-oriented and self-motivated approach to problem-solving with excellent reasoning skills.
  • Highly skilled in Python/R and shell/bash scripting within Linux/Unix environments. Experience with AWS is a plus.
  • Strong organizational and time-management skills to prioritize needs and get things done.
  • Strong team player who can also work independently.
  • Proactive learner and good at trouble-shooting.
  • Industry experience is a plus.
Benefits:
This role offers opportunities for professional growth and development in a dynamic and collaborative environment. If you are passionate about NGS data analysis and want to contribute to cutting-edge research, we encourage you to apply.

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