Qualification
PhD Ideally in computational biology, bioinformatics, or biostatistics.

Research Experience

• Applicants should have at least one-year postdoctoral research experience with proven track record in terms of publications in academia and presentations in conferences.
• Applicants from industry are invited and they must be able to describe their research impact and their desire to work in a non-profit organization, in their cover letter.
• Your experience will be positively weighed in during the application process.

Required Skills

• Proficiency in a programming especially in Python.
• Statistical data analysis environments such as in R is highly preferred.
• Version control systems such as git is essential.
• Work with HPC environments, batch submission systems (Slurm, LSF, etc.)
• Knowledge of linux or related operating system.
• Workflow managers like nextflow and snakemake.
• Application of statistical tools or must have designing of bespoke statistics or other machine learning methods in sequencing analysis.
• Extensive knowledge on the computational side of bioinformatics, in order to liaise with the IT infrastructure is essential.

Qualification
Masters in Science

Relevant Experience/Objectives

• Co-ordinating multi-institutional long-term projects.
• Conducting periodic review meetings, defining agenda, making minutes and further follow up.

Required Skills

• Proficiency in a programming especially in Python.
• Statistical data analysis environments such as in R is highly preferred.
• Version control systems such as git is essential.
• Work with HPC environments, batch submission systems (Slurm, LSF, etc.)
• Knowledge of linux or related operating system.
• Workflow managers like nextflow and snakemake.
• Application of statistical tools or must have designing of bespoke statistics or other machine learning methods in sequencing analysis.
• Extensive knowledge on the computational side of bioinformatics, in order to liaise with the IT infrastructure is essential.

Qualification
Masters in Science

Relevant Experience/Objectives

• Co-ordinating multi-institutional long-term projects.
• Conducting periodic review meetings, defining agenda, making minutes and further follow up.

Required Skills

• Proficiency in a programming especially in Python.
• Statistical data analysis environments such as in R is highly preferred.
• Version control systems such as git is essential.
• Work with HPC environments, batch submission systems (Slurm, LSF, etc.)
• Knowledge of linux or related operating system.
• Workflow managers like nextflow and snakemake.
• Application of statistical tools or must have designing of bespoke statistics or other machine learning methods in sequencing analysis.
• Extensive knowledge on the computational side of bioinformatics, in order to liaise with the IT infrastructure is essential.