One Tenure-Track Position in Bioinformatics/Computational Biology

Start Tue, 17 Oct 2017 End Wed, 17 Jan 2018

The Istituto Italiano di Tecnologia (IIT) is pleased to announce a new tenure-track opening (open rank). 

IIT has state-of-the-art facilities and has rapidly established itself among top research institutes worldwide. IIT has a strongly international character, with more than 40% foreign scientific staff drawn from over 50 countries worldwide.

IIT seeks dynamic, highly motivated, independent and innovative researchers to join our community of scientists engaged in cutting-edge research and development. Candidates must be creative thinkers who span traditional scientific boundaries, with the overarching goal of melding science and technology to improve human health, welfare and sustainability.

The tenure-track scientists are intellectually and financially independent principal investigators and will enjoy world-class start-up and operational funding, as well as internationally competitive salaries and benefits. IIT also strongly encourages and assists its scientists in expanding their research scope by obtaining independent external support from national, European and international funding agencies.

Hiring procedures of IIT are based solely on scientific credentials, and our search committees include external members from foreign institutions to provide diverse, independent perspectives. 

For further information about our Tenure Track process, please send an email to tenuretrack@iit.it

For information about IIT please visit http://www.iit.it/

 

Application procedure:

To apply for the position candidates should register and upload their evaluation package (in a single PDF file) containing:

  1. a C.V., including list of published papers, highlighting the 5 most representatives, patents, and research grants directly awarded to the candidate (as principal investigator or work-package coordinator)
  2. a 3-page research statement containing a summary of previous research contributions and a description of plans for future work.

Applicants should also provide names and contact information of three referees, familiar with the applicant’s research accomplishments, to prepare letters of recommendation. For junior faculty applicants, referees will usually include the applicant’s PhD and postdoctoral advisor(s).

The letters will be directly uploaded by the referees on the candidate’s application page and will made visible by the candidate.

Please note that the system allows candidates to submit complete applications only (i.e.: evaluation package and referees’ contact details). Partially completed applications or registrations will not be considered.

Deadline for submission of applications is January 17th 2018

Deadline for submission of reference letters by referees is January 31st 2018

Shortlisted candidates will be invited to IIT for an interview.

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In order to comply with the Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), candidates are asked to give their consent to allow IIT to process their personal data. The information provided will be used solely for the purpose of assessing candidates’ professional profile to meet the requirements of IIT. Data will be processed by IIT, having its registered address in Genoa, Italy, Via Morego, 30, acting as the Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data. Please also note that, pursuant to art. 7 of Italian Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Manager.

IIT is an equal opportunities employer that actively seeks diversity in the workforce.

 

Open positions

  • Bioinformatics/Computational Biology

    For this position we seek outstanding scientists applying innovative in silico and computational approaches to the analysis of molecular biological data, including genomics, transcriptional data, noncoding RNAs, epigenetics, proteomics and metabolomics data.

    Expertise in data management and organization, sequencing and –omic datasets, and development of analysis pipelines and support tools is essential. Skills and experience with a variety of next generation sequencing data types is required including gene expression analysis using RNA-Seq and exome/genome data analyses. Additionally, expertise in machine learning algorithms, Python, and C/C++ programming, as well as in GPU infrastructures will be a plus.

    Candidates will be drawn from fields including computational biology and physics, computer science, and statistics and mathematics, and will interact extensively with experimental life scientists at IIT. Strong communication skills and a willingness to collaborate is essential.

    A Ph.D. or equivalent graduate degree, as well as relevant postdoctoral experience are required at the time of application.