PhD in Computational Genomics for Predictive Medicine

University of Helsinki / General; Finland; On-site; EUR 29,000 - 32,000; Full time

Job summary

The University of Helsinki invites applications for a PhD position in computational genomics aimed at predictive medicine. You will design and execute a research project, analyze multiomic data, and contribute to open science within a collaborative team.

You will work under the guidance of Professor Barrett in a newly established lab, with access to biobank datasets and advanced computing resources at FIMM and ELLIS Institute.

Qualifications

• Master’s degree in computational biology, data science, bioinformatics, or related discipline (exceptional candidates may be considered coming straight from a bachelor’s).
• Proficiency in programming for data analysis in either Python or R.
• Research experience in computational biology and/or data science.
• Excellent written and spoken English.

Responsibilities

• Design and implement a PhD research project on a topic related to computational genomics for predictive medicine.
• Carry out the research project: propose hypotheses, write code, think about and discuss results, and interpret findings.
• Collaborate closely with other members of the team, other researchers at the ELLIS Institute and University of Helsinki, and international partners.
• Share scientific results via publications and presentations at local and international conferences, and contribute more broadly to open science (e.g. via pre-prints and open source software).
• Contribute to mentoring and training the next generation of scientists.

Skills

Python or R programming

Research experience in computational/4

Education

Master's degree in computational biology, data science, bioinformatics, or related discipline

Job description

The University of Helsinki invites applications for a PhD position in computational genomics aimed at predictive medicine. You will design and execute a research project, analyze multiomic data, and contribute to open science within a collaborative team.

You will work under the guidance of Professor Barrett in a newly established lab, with access to biobank datasets and advanced computing resources at FIMM and ELLIS Institute.