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At Again we put CO₂ to good use. By combining millennia-old bacteria with cutting-edge technology, we turn CO₂ into carbon negative chemicals. Our novel biomanufacturing process collects the unavoidable carbon outputs from industry and reuses them to manufacture emission-free chemicals - a win-win for everyone. We’re leading the positive shift. Showing people that our world does have a future. If you think we’re doomed – think Again.
Job Responsibility:
Analysis of sequencing data (RNA-Seq, whole-genome sequencing, metagenomics)
Writing basic data wrangling and analysis scripts for different types of experimental data sets
Performing literature research
Reporting analysis results in a clear and concise manner
10-15 hours per week, consistent availability on 2 days a week
Requirements:
Undergraduate degree in a subject with both data science/coding and biology component (e.g. computational biology, bioinformatics, bioengineering with comp bio focus)
Coding experience in R and/or Python and standard bioinformatics software for sequencing data analysis
Understanding of best practices in data management and analysis
Strong attention to detail
ability to work independently
Nice to have:
Basic experience with cloud data storage and cloud computing
Familiarity with microbiology and systems biology methods such as metabolic modelling
What we offer:
You get to work with a group of passionate scientists, working on challenging and meaningful projects.
This will be the journey of a lifetime – we are serious about our mission to reduce over 1 gigaton of CO₂ and you can play a pivotal role in making that happen.
An inclusive, empowering, and engaging work environment.