Data Scientist Proteomics

Company:
Location: Westmead NSW 2145

*** Mention DataYoshi when applying ***

Bioinformatician/ Computational Biologist / Biostatistician

  • Make an important contribution to the health of children through medical
research
Work with one of Australia’s most respected national and independent

medical research institutes
Located in Westmead, one of Sydney’s and Australia’s major biomedical

research hubs, with work from home options

Children’s Medical Research Institute (CMRI) was Australia’s first dedicated paediatric
research facility and is now one of the world’s most highly regarded independent medical
research centres. Our research focuses on the areas of embryonic development and
birth defects, cancer, neuroscience and gene therapy and we have a strong international
reputation based on our research outcomes. It is also home to the world-first proteomics
project, ProCan, which is changing the way cancer is diagnosed and treated. CMRI’s
research programs are supported by state of the art facilities and committed research and
support staff. Our achievements are made possible by a loyal network of community
supporters, highly engaged donors and the very successful Jeans for Genes® fundraising
campaign.

A Bioinformatician/Computational Biologist/Biostatistician position is available in the
ProCan Cancer Data Science Group, led by Dr. Qing Zhong. ProCan (the ACRF
International Centre for the Proteome of Human Cancer) is a world-first initiative
developed and launched in September 2016 by Professors Phil Robinson and Roger
Reddel, and established with a $10 million grant from the Australian Cancer Research
Foundation (ACRF). Equipped with six SCIEX mass spectrometers and a super computer
(800TB / 480 cores), ProCan processes tumour samples through a proteomic method,
SWATH-MS, which allows fast mass spectrometric conversion of small amounts of tissue
(biopsy level) into a single, permanent digital file representing the quantitative proteome
of the sample. One of the goals of ProCan is to measure thousands of proteins in about
70,000 cancers of all types with known treatment outcome and correlate tumour
proteotypes with clinical phenotypes. The Cancer Data Science Group aims to develop
novel computational tools and sophisticated machine learning algorithms to achieve this
goal. Other major focuses of the group are 1) big proteogenomic data mining and
management, 2) the genome-proteome association analysis and multi-omic data
integration for studying cancer, 3) development of advanced statistical tools to account
for batch effects caused by large-scale, high throughput proteomics, and 4)
implementation of big data-driven, evidence-based computational tools to achieve
predictive, preventive, personalized medicine.












We invite applications from PhD scientists to join our group. Applicants should be
experienced data scientists with a high degree of motivation in academic research, an
excellent record of scientific accomplishments with publications in peer-reviewed
journals, and the ability to work independently with outstanding communication and
writing skills. Candidates should have a strong clinical/biological understanding and a
background in bioinformatics, biostatistics or machine learning. Strong programming
skills in R and Python are required. Previous experience in proteomics is essential. You
will be responsible for conducting biostatistical analysis, performing scientific data
visualization, developing solutions to proteomics research and cancer biomarker
discovery.

You will be provided with a competitive remuneration package in accordance with
qualifications and experience. Additional benefits include the provision of a Public
Benevolent Institution salary packaging scheme and participation in an employer-
contributed superannuation fund. Publications in high impact journals can be expected.
This is a full-time position for two years with the possibility of extension.

Applications should include:

1. A cover letter (citing PV2122) with statement of motivation and a detailed
description of the qualifications described above,

2. A curriculum vitae including a chronological list of publications
3. Contact details (phone/email) of three professional referees

and be forwarded to recruitment@cmri.org.au

Applications will remain open until filled; however we encourage you to submit your
application by Friday 25th June as we will interview suitable candidates from that date
onwards - We reserve the right to withdraw this ad prior to the closing date.


Bioinformatician/ Computational Biologist / Biostatistician

  • Make an important contribution to the health of children through medical
research
Work with one of Australia’s most respected national and independent

medical research institutes
Located in Westmead, one of Sydney’s and Australia’s major biomedical

research hubs, with work from home options

Children’s Medical Research Institute (CMRI) was Australia’s first dedicated paediatric
research facility and is now one of the world’s most highly regarded independent medical
research centres. Our research focuses on the areas of embryonic development and
birth defects, cancer, neuroscience and gene therapy and we have a strong international
reputation based on our research outcomes. It is also home to the world-first proteomics
project, ProCan, which is changing the way cancer is diagnosed and treated. CMRI’s
research programs are supported by state of the art facilities and committed research and
support staff. Our achievements are made possible by a loyal network of community
supporters, highly engaged donors and the very successful Jeans for Genes® fundraising
campaign.

A Bioinformatician/Computational Biologist/Biostatistician position is available in the
ProCan Cancer Data Science Group, led by Dr. Qing Zhong. ProCan (the ACRF
International Centre for the Proteome of Human Cancer) is a world-first initiative
developed and launched in September 2016 by Professors Phil Robinson and Roger
Reddel, and established with a $10 million grant from the Australian Cancer Research
Foundation (ACRF). Equipped with six SCIEX mass spectrometers and a super computer
(800TB / 480 cores), ProCan processes tumour samples through a proteomic method,
SWATH-MS, which allows fast mass spectrometric conversion of small amounts of tissue
(biopsy level) into a single, permanent digital file representing the quantitative proteome
of the sample. One of the goals of ProCan is to measure thousands of proteins in about
70,000 cancers of all types with known treatment outcome and correlate tumour
proteotypes with clinical phenotypes. The Cancer Data Science Group aims to develop
novel computational tools and sophisticated machine learning algorithms to achieve this
goal. Other major focuses of the group are 1) big proteogenomic data mining and
management, 2) the genome-proteome association analysis and multi-omic data
integration for studying cancer, 3) development of advanced statistical tools to account
for batch effects caused by large-scale, high throughput proteomics, and 4)
implementation of big data-driven, evidence-based computational tools to achieve
predictive, preventive, personalized medicine.












We invite applications from PhD scientists to join our group. Applicants should be
experienced data scientists with a high degree of motivation in academic research, an
excellent record of scientific accomplishments with publications in peer-reviewed
journals, and the ability to work independently with outstanding communication and
writing skills. Candidates should have a strong clinical/biological understanding and a
background in bioinformatics, biostatistics or machine learning. Strong programming
skills in R and Python are required. Previous experience in proteomics is essential. You
will be responsible for conducting biostatistical analysis, performing scientific data
visualization, developing solutions to proteomics research and cancer biomarker
discovery.

You will be provided with a competitive remuneration package in accordance with
qualifications and experience. Additional benefits include the provision of a Public
Benevolent Institution salary packaging scheme and participation in an employer-
contributed superannuation fund. Publications in high impact journals can be expected.
This is a full-time position for two years with the possibility of extension.

Applications should include:

1. A cover letter (citing PV2122) with statement of motivation and a detailed
description of the qualifications described above,

2. A curriculum vitae including a chronological list of publications
3. Contact details (phone/email) of three professional referees

and be forwarded to recruitment@cmri.org.au

Applications will remain open until filled; however we encourage you to submit your
application by Friday 25th June as we will interview suitable candidates from that date
onwards - We reserve the right to withdraw this ad prior to the closing date.

*** Mention DataYoshi when applying ***

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