[Comp-neuro] Post-doc @ Univ of Toronto: bioinformatics, neuron modeling, and machine learning

Shreejoy Tripathy stripat3 at gmail.com
Wed Apr 24 19:14:57 CEST 2019

Post-doctoral fellowship in multi-scale bioinformatics and neuroscience –
Tripathy laboratory, CAMH, University of Toronto

Job Description:
We are looking for a post-doctoral fellow with a background in
bioinformatics, computational biology, or neuroinformatics. The position is
in the Laboratory for Computational Genomics, under the supervision of Dr.
Shreejoy Tripathy (https://triplab.org/) . The post-doc will contribute to
a growing team at the new Krembil Centre for Neuroinformatics, based at
CAMH and the University of Toronto.

Project Description:
The candidate will lead a multi-disciplinary dry-lab project in multi-omics
and cellular neuroscience. The project’s goal is to identify cross-modal
relationships between: 1) human genotypes; 2) tissue- and cell
type-specific gene expression; and 3) neuronal and circuit phenotypes,
including electrophysiology, morphology, and synaptic physiology. The
candidate will develop and apply machine learning and statistical methods
to translate information across these data types. The project will make use
of publicly-accessible datasets (e.g., PGC, PsychEncode, Allen Institute)
as well as private datasets provided by collaborators. The post-doc will
interface with a team of experimentalists and computational modelers to
directly test their predictions and work with clinician-scientists to use
these approaches for patient stratification. The ideal candidate is someone
who is passionate about using basic research in genomics and neuroscience
to improve the understanding and treatment of psychiatric disorders.

Position details:
The position is for a duration of up to 3 years, renewed yearly.
Compensation, including benefits, is competitive and will be based on
experience and established pay-scales. The candidate will support a healthy
workplace that embraces diversity, encourages teamwork, and complies with
all applicable and regulatory requirements.

A recent PhD in bioinformatics, neuroscience, or statistics (or equivalent
computational discipline)
Considerable experience programming, scripting, and analyzing data in a
high-level language (e.g., R, Python, or MATLAB)
Experience analyzing and quality-controlling multi-omics datasets,
including genotyping, transcriptomics, and cellular characteristics
A track record for independent research that demonstrates creativity
Excellent communication skills and experience working in a collaborative
and multi-disciplinary environment

How to apply:
A complete application should include a brief cover letter, a curriculum
vitae, and the contact information for 2-3 references. Submit applications
to Shreejoy Tripathy (shreejoy.tripathy at utoronto.ca), with the title:
“Post-doc in multi-scale bioinformatics and neuroscience” in the subject
line. In the cover letter, please highlight one or two publications or
preprints the candidate feels is their best work. Applications will be
reviewed in an ongoing manner and the position will remain open until

About the Krembil Centre for Neuroinformatics:
In 2017, Centre for Addiction and Mental Health (CAMH) established its new
$15-million Krembil Centre for Neuroinformatics to leverage the largest
mental health patient database in Canada and combine world-leading talent
specializing in computational approaches to brain science, a robust data
integration platform, and analytical tools to accelerate and revolutionize
the world’s understanding of the brain and brain-based illnesses. The
Krembil Centre for Neuroinformatics positions CAMH as a leader in brain
science using the power of big data analytics, artificial intelligence and
machine learning, and multi-scale brain modelling in order to bridge the
levels of the structure and function of the brain – from genes to circuits
to behavior.
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