Job:Post Doctoral Fellow (Bioinformatics) @ Genome Institute of Singapore

Question

[Rodrigo]

The Genome Institute of Singapore (GIS) has an exciting opportunity for a Post Doctoral Fellow (Bioinformatics) to join a population-scale genomics initiative that aims to create a comprehensive data bank with integrated genetic, clinical and lifestyle data. In its pilot phase, this effort has completed whole-genome sequencing of 10K individuals, and has delivered a catalogue of common genetic variants across Singapore’s three main ethnic populations (Wu D. et al. 2019, Wong et al. 2022 in preparation). Now, the challenge is to scale up genetic data production and develop the infrastructure needed the next phases of the National Precision Medicine Program (100K individuals by 2024, then 1 million individuals in 2025 and beyond). By joining our multi-disciplinary, team, you will be involved in efforts to set up a high-throughput data analysis workflow, devise solutions for managing and controlling access to petabytes of information, and eventually apply the developed tools to deliver one of the largest population genomics efforts in South Asia to date.

Requirements

Candidates who meet most of the requirements will be considered.

• PhD or equivalent in Bioinformatics, Computational Biology, or related
• Proficiency in Python, applied to task automation and data analysis
• Applied statistics and analysis skills
• Demonstrated experience in analysis of high-throughput sequencing data
• Experience in population / statistical genetics
• Experience in cloud computing, cloud infrastructure and automation (familiarity with AWS is a plus)
• Excellent attention to detail and problem-solving skills
• Good organisational skills
• Strong communication skills and ability to work as a team
• Ability to learn quickly on the job
• Experience with version control systems such as Git/GitHub is a plus
• Experience with Atlassian software (Jira, Confluence) is a plus

Responsibilities

• Design, develop and implement workflows for analysing results from high-throughput sequencing experiments
• Contribute population genetics insight to existing and upcoming projects for publication
• Design, develop and implement cloud infrastructure to support population-scale WGS pipelines
• Work with large WGS datasets to deliver insights into genetic variation in underrepresented populations
• Lead collaborations with local and international industry partners in the Biotech and Pharma sectors
• Perform analysis of complex datasets to troubleshoot trends, and coordinate with team members to optimise production workflows accordingly
• Implement standards and best practices (e.g. GA4GH)
• Write technical documentation and deliver internal training on various aspects of the production set up
• Present analysis outcomes internally and externally, and collaborate with team members to publish results

For more information, get in touch at [e-mail]

Apply here!