Job Description
About Again
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.
What you'll do
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
Job requirements
About you
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
Preferred:
Basic experience with cloud data storage and cloud computing
Familiarity with microbiology and systems biology methods such as metabolic modelling
What we promise you
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 pioneering a new era of industrial manufacturing using biotech to make clean and resilient supply chains, and you can play a pivotal role in making that happen.
An engaging, empowering and ambitious work environment.