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Postdoctoral Research Associate - Bioinformatics and Ancient Genomics


A post-doctoral Research Associate position in Department of Zoology, located in Central Cambridge, is available from 12 March 2018 for up to twenty-two months, to work with Professor Eske Willerslev on novel bioinformatics approaches in ancient genomics.

The PDRA will work on statistical and computational components of a new method for high-throughput genome sequencing of single fossil pollen grains and its application to studying past plant population dynamics. Currently, our ability to reconstruct plant population dynamics beyond the last 150 years is limited to only a small number of species. The proposed method is expected to provide such information for thousands of species across the plant kingdom and open up a wide array of exciting new research possibilities in the fields of evolutionary biology, ecology and archaeology. Duties will include developing and optimising statistical and computational techniques, setting up and optimising a computational pipeline, analysing the data and writing up the results. There is scope for the focus of the techniques/analyses to reflect the interests of the candidate.

Essential skills: - PhD in computational biology, bioinformatics, (bio)statistics, computer science, or a related field; - Solid programming skills; - Demonstrated experience in advanced statistical analysis; - Demonstrated experience in processing and analysing next generation sequencing data; - Strong track record in written and oral communication in relevant subjects; - Ambition and drive, strong work ethics and excellent interpersonal skills; - Enthusiasm to interact with colleagues; - Ability to organise time and work effectively, independently and responsibly in a research team setting; - Excellent English language skills.

Fixed-term: The funds for this post are available for up to 22 months.

Fixed-term: The funds for this post are available for 22 months in the first instance.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please quote reference PF14635 on your application and in any correspondence about this vacancy.

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Further information

Apply online