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Statistical or Population Geneticist Parkville VIC Murdoch Childrens Research Institute Parkville VIC

Statistical Or Population Geneticist Parkville VIC

2020-11-18 11:33:05
Statistical or Population Geneticist Parkville VIC
Who Are We? MCRI and the Garvan Institute of Medical Research (Garvan) are collaborating to establish the Centre for Population Genomics

The Centre will focus on the development of cutting-edge tools and resources to facilitate the conversion of genomic data into improved diagnosis and treatment for Australians, the field known as genomic medicine

Ultimately, the Centre will generate and manage the largest sets of genomic and clinical data ever assembled in Australia, and apply these to solve a wide variety of scientific and medical problems

The Centre’s staff will operate from two physical sites: MCRI in Melbourne and Garvan in Sydney

At MCRI we share a powerful vision; to re-imagine the future of child health

We are the home to many life-changing scientific discoveries

We believe that no question is too impossible to try and answer

We are renowned for our cutting edge focus on early interventions, improved diagnosis, prevention and development of potential cures

Our success... is founded on a philosophy of collaboration through a multi-disciplinary approach to solving the toughest questions in child health

MCRI is a proud member of the Australian Network on Disability

We are committed to creating a positive working environment which values all backgrounds and experiences

We strive to foster an inclusive culture that is underpinned by equal opportunity for all and a culture based on respect, consideration and dignity

Don’t take our word for it, check what our employees are saying! Garvan brings together world-leading clinicians and basic and translational researchers to break down barriers between traditional scientific disciplines and find solutions to disease

Founded in 1963, Garvan’s mission is to harness all the information encoded in our genome to better diagnose, treat, predict and prevent disease

The Opportunity We are looking for a number of statistical and/or population geneticists to join the Centre for Population Genomics

These analysts will join a highly collaborative team at the Centre for Population Genomics, including other analysis and methods development staff, software engineers, project managers, communities specialists, and trainees

As part of the mission of the Centre, the analysis team will be responsible for handling data generated through new sequencing projects as well as the aggregation of public resources to create a new resource for human genetics that reflects the remarkable population diversity of Australia

The team will also manage genome, exome, RNA-seq and other genomic data sets from rare disease patients and their family members, with the goal of improving the diagnosis of severe genetic diseases

Our new Statistical and Population Geneticists will be involved in a wide variety of projects across the Centre, ranging from understanding the population history of Indigenous and immigrant communities, to using large collections of genetic variation to infer gene constraint and function, to developing statistically informed approaches to classifying potentially causal variants in rare disease patients

A key part of your role will be to contribute to the development of novel analysis pipelines for large-scale genomic datasets, and work closely with other Centre staff and external researchers to carry out and publish novel analyses of the data

As you will be liaising with a number of stakeholders such as, software engineers, project managers, communities specialists, trainees and the extended MCRI and Garvan teams it is essential you have excellent communication and engagement skills

Your analyses will be performed within a scalable cloud-based computational platform

The resulting data sets and all software produced by the Centre will be widely shared with the broader research community, maximising their impact on science and health outcomes

Your ability to foster relationships coupled with your analytical skills will see you be successful in this role

Our ideal candidate has a strong track record of scientific output who are interested in continuing to contribute to impactful science but not in pursuing a traditional academic career track You have an understanding of not only the value you can bring to your role but also the difference you can make in the wider community

Your responsibilities will include but are not limited to: - Developing novel approaches, and rigorously benchmarking existing approaches, to the analysis of large-scale genome sequencing, RNA-seq, single-cell RNA-seq, and other genomic data types across tens of thousands of human samples - Developing prototype code for analysis approaches, and working closely with a software engineering team to ensure this code can be deployed at scale and shared as open-source software - Identifying analytical results that indicate underlying quality control issues, and report these back to the computational biologists responsible for managing QC pipelines - Meeting regularly with Centre trainees and other scientific staff to identify major challenges in data handling and analysis, and work proactively with other team members to define solutions - Contributing actively to scientific discussions around the best approaches to make sense of the large data sets generated and handled by the Centre - Contributing actively to the development of programming and analysis best practices through regular code review meetings and other activities such as pair programming - Contributing to the development of high-impact scientific papers, and to funding applications - Presenting internally and externally - including at national and international meetings - about the analysis work done at the Centre - Is aware of, and adheres to, MCRI policy on Intellectual Property/Material Transfer Agreements/Contracts/Clinical and Public Health Outcomes You Demonstrate: - A PhD in statistical genetics, population genetics, machine learning, or a related field, or an equivalent total amount of direct work experience in these fields - Considerable experience developing and applying new analytical methods to large, complex genomic data sets, and validating results using independent methods - Considerable experience with Python and R, or similar - Demonstrated experience working in high-performance computing environments, and ideally on cloud-based platforms - Highly autonomous and self-motivated: able to define and manage the execution of novel strategies for analysis across their domain of expertise - Good written communication skills: able to contribute effectively to papers, grants, and technical reports - A genuine passion for open science, and contributing data and code to the wider biomedical research community - Highly collaborative: more focused on solving important biological and medical problems by working with others than with securing individual credit and willing to engage with other team members from a diverse range of background to execute on complex scientific tasks - A problem-solving mentality: able to navigate a complex and dynamic series of technical obstacles, and to pivot rapidly when needed, to build a first-of-its-kind research project; someone who identifies problems even if they fall outside their immediate mandate, and works with other team members to solve them Desirable Skills - Direct experience with cloud computing, and the analysis of very large genomic data sets, would be beneficial - Direct experience in complex data visualization or machine learning approaches would be a plus On Offer: - 3 year full time contract with the possibility to extend. - Based at either MCRI in Melbourne or Garvan in Sydney - + super + salary packaging - On-site facilities include: childcare, Employee Assistance Program, mindfulness, gym, and bike storage… to highlight a few Apply Now Indeed Website Please Note ALL Applications must come via MCRI Careers only

Direct applications via email do not apply For a full list of responsibilities and the key selection criteria download the position description

In one document please place your: - cover letter - resume

Applications will only be considered when submitted via the MCRI website

For specific questions not answered in the PD please contact Daniel MacArthur [email protected] Existing MCRI and VCGS staff (excluding Unpaid non-managers and non Graduate Research Students) are required to apply through the MCRI internal site only

Navigate to Nucleus-> Talent Management-> Careers to submit the application

Click apply to proceed with your application

Closing Date : 2 December 2020 Position Reference : 23213 On occasions where we receive a large number of applications, we may close the advert ahead of the publicised closing date

We would therefore advise that you submit your completed application as soon as possible

MCRI is a proud member of the Australian Network on Disability

Should you require any specific support or adjustments please talk to us and we will be happy to accommodate

Please note: Applications via recruitment agencies will not be accepted for this position
Parkville VIC Australia
Statistical or Population Geneticist Parkville VIC Murdoch Childrens Research Institute Parkville VIC
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