
Bioinformatics Analyst
4 weeks ago
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
Troubleshooting
Microsoft Excel
Cloud Computing
Pipelines
Customer Support
Segmentation
Medical Terminology
Scripting
Economics
Patient Safety
Characterization
Bioinformatics
Computational Biology
Data Analytics
Data Visualization
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