Bioinformatician (m/f/x)

The Leibniz Institute on Aging – Fritz Lipmann Institute (FLI) in Jena is a federal and state government-funded research institute and member of the Leibniz Association (Leibniz-Gemeinschaft). FLI’s internationally visible and highly competitive research is focused on understanding the mechanisms of aging and associated age-related diseases. Scientists from over 40 countries are currently investigating the molecular mechanisms of aging and the occurrence of age-related diseases. Our aim is to create the basis for new approaches in medicine as a way to improve the health of the elderly (www.leibniz-fli.de).

The research group “AI in Microbiome and Aging Research” led by Dr. H. Melike Dönertas is looking for a highly motivated and talented bioinformatician. The group is funded by Carl-Zeiss Stiftung and part of the DFG-funded Collaborative Research Center on Predictability in Evolution (SFB 1310).

BIOINFORMATICIAN (M/F/X)
Job-ID: 24/05

Tasks:

The overall responsibility of the candidate will be to establish and run computational pipelines to preprocess and integrate datasets from high-throughput experiments and perform exploratory data analysis. The candidate:

• Will help establish and benchmark pipelines for the preprocessing and exploratory analysis of 16S amplicon sequencing, long and short-read metagenomics, RNAseq, sc-RNAseq, proteomics, and metabolomics datasets
• Will support research data management in the lab
• Will be expected to work with other computational biologists and experimentalists at the lab and institute to support collaborative projects

Your Profile:

• PhD in computational biology, bioinformatics, computer science, biology, or a related field
• Or candidates without PhD with exceptional hands-on experience
• Experience in high-throughput data preprocessing and analysis
• Experience in R, Python, and Bash
• Experience in version control
• Experience in workflow management systems (e.g. Nextflow, Snakemake) will be preferred
• Advantageous: experience in high-throughput computing systems
• Excellent written and verbal communication in English

We Offer:

• You will become part of a world-leading research institute dedicated to the biology of aging and the opportunity to join an international team with focus on AI in microbiome and aging research (see also here: https://www.leibniz-fli.de/institute/life-at-the-institute)
• Access to multiple state-of-the-art facilities, equipment for high-throughput data generation, and expertise for experimental validation of computational models; we have advanced computational equipment with high-performance computing clusters with CPU and GPU servers and exceptional core-facility support; our work is embedded in the Beutenberg Campus, an interdisciplinary base for innovative research
• The contract conditions will be according to the collective labour agreement for public service employees of the federal states of Germany (TV-L depending on qualifications and experience), full-time or part-time, initially limited to two years, with a possibility of extension; expected starting date: September 2024
• Additional annual special payment (Christmas bonus), 30 working days of vacation per calendar year, two days off on December 24 / 31, performance bonus system, and an attractive company pension plan with the Versorgungsanstalt des Bundes und der Länder (VBL) (Federal and State occupational pension scheme)
• Flexible working time, a family-friendly working environment that provides a healthy work-life balance, company health management, including support for child care solutions, and dual career options
• We provide support with various qualification and further training opportunities and use of the Haufe learning platform with numerous different online courses

Application:

Please apply online through the FLI application system by May 5, 2024, and provide your statement of interest, CV, publication list, and names of three references.

FLI is proud to be an equal opportunity employer and promotes diversity. It aims to increase the proportion of underrepresented groups in case of equal suitability. All qualified persons, regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other classification protected by law will receive consideration for employment.