Bioinformatics Analyst, Computational Genomics

2 weeks ago

Singapore SINGLERON BIOTECHNOLOGIES PTE. LTD. Full time
Roles & Responsibilities

We are seeking a motivated individual with expertise in NGS data analytics, including single-cell analyses, to join Singleron's Bioinformatics Team. Singleron is focused on providing high-quality single-cell multi-omics analysis to our academic and biotech customers. To this end, experience in one or more of the following areas is highly desired:

  • 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

  • Working closely with wet lab scientists and customer support to analyze and interpret single-cell and multi-omics data
  • Testing, maintaining, and optimizing analytical pipelines
  • Communicate experimental designs and results to both experts and non-experts
  • Planning and prioritizing 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 the analysis, and interpretation of genomic and NGS data. Prior single-cell RNA-Seq experience is a plus, but is not necessary
  • 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
Tell employers what skills you have

Genomics
Data Analysis
Oncology
Information Technology
Analysis
Motivated
Dynamic
RNAseq
cancer biology
sequencing
Immunology
Programming
Gene expression analysis

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