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Bioinformatics Student Assistant at Again
Copenhagen, Capital Region of Denmark, Denmark -
Full Time

Start Date

Immediate

Expiry Date

15 May, 26

Salary

0.0

Posted On

14 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

R, Python, RNA-Seq, Whole-genome sequencing, Metagenomics, Data Wrangling, Data Analysis, Literature Research, Data Management, Cloud Data Storage, Cloud Computing, Microbiology, Systems Biology, Metabolic Modelling

Industry

Biotechnology Research

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 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.
Responsibilities
The role involves analyzing various types of sequencing data, including RNA-Seq, whole-genome sequencing, and metagenomics. Responsibilities also include writing basic scripts for data wrangling and analysis, conducting literature research, and clearly reporting analysis results.