Applications are invited for a Postdoctoral/ Research Fellow position in Biological Data Science to join the Department of Computer Science.
This position is part of a larger collaboration between the Universities of Otago, Auckland, and Australian National University. The collaboration is a new exciting initiative to develop a comprehensive computational toolbox for phylodynamic analysis of populations of somatic cells, with a specific focus on applications in cancer.
The role
This project provides a unique opportunity, working with an outstanding network of our computational and biomedical collaborators, to develop scalable algorithms, methods, and analysis tools to investigate a wide range of genomic and other 'omics' data.
Skills and experience:
• Applicants must have a PhD in computer science, bioinformatics, or a related area.
• Experience in developing efficient algorithms and/or scalable mathematical methods is essential.
• Knowledge of and experience with programming languages (such as Python, C, or Java) is essential.
• Prior experience with developing scalable methods in data science or computational statistics is preferable.
• Prior experience in genomic analysis, ideally single-cell sequencing data, is preferable.
• The ability to be an effective member of an interdisciplinary team is essential.
Further details
This is a full-time, fixed-term appointment for up to three years. The successful applicant will be expected to take up the position early in 2021.
The appointment step for this position will either be on the Postdoctoral Fellow scale ($75,896) or Research Fellow scale - Step one ($78,445).
Enquiries should be directed to Dr Alex Gavryushkin via the email address below.
Application
Please include the following in your application as a single .pdf file:
• Cover letter (up to two pages) outlining your motivation for joining this project, lab, and university.
• CV including a full list of publications.
• Contact details of three referees who can comment on your background and skills as a researcher.
• Up to three relevant publications authored by the applicant (links to online resources are preferable).
• A code sample produced by the applicant (link to a repository is preferable).
To submit your application please click the apply button below.
Applications quoting reference number 2002201 will be considered on receipt, and the position will remain open until filled.
The University reserves the right to close this position at any time.
APPLICATION INFORMATION
To see a full job description and to apply online go to:
https://otago.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=2002201Equal opportunity in employment is University policy.
E tautoko ana Te Whare Wananga o Otago i te kaupapa whakaorite whiwhinga mahi.
