Bioinformatician @ Melanoma Institute Australia

Employer:  Melanoma Institute Australia

Closing date:  16/09/2024

Brief position description:
Melanoma Institute Australia (MIA) is an independent, non-profit organisation with its head office located near North Sydney. We are the world’s largest treatment and research centre with a single focus on melanoma, and our mission is to reach zero deaths from melanoma this decade.

The Translational Research Laboratory of MIA is seeking an experienced Bioinformatician, preferably with a background in cancer or immunology research, to work with our team at the Charles Perkins Centre, University of Sydney. We require an individual with solid work experience with, and the ability to, integrate and interpret large-scale biological and multi-omics datasets supporting research and development projects. The position will be responsible for developing, optimising, and applying bioinformatics pipelines for the analysis of genomic, transcriptomic, and proteomic data. 

The successful applicant will form part of the Translational Research Laboratory of the Melanoma Institute Australia, based at The University of Sydney Camperdown campus. The research of the team spans areas such as translational neoadjuvant studies, primary melanoma diagnosis, melanoma biology, biomarkers of resistance to systemic therapies in advanced disease, and the Personalised Immunotherapy Program. This is a full-time position. 

This is a unique opportunity to join a globally recognised research institute. You will also find immense satisfaction in joining a team which is making a very real difference to thousands of Australians, now and in the future.


Please view the full job ad by clicking on the job website - www.seek.com.au/job/78193392?tracking=SHR-WEB-SharedJob-anz-1

Job website:   http://www.seek.com.au/job/78193392?tracking=SHR-WEB-SharedJob-anz-1

Contact name: Ann Michelle Arrabaca

Contact email: Careers@melanoma.org.au

Bioinformatician - Pathogen Genomics

Employer:  NSW Health Pathology

Closing date:  25/08/2024

Brief position description:
Employment Type: Permanent Full Time
Position Classification: Health Manager Level 2
Remuneration: $106,142 - $125,241 per annum plus superannuation
Hours Per Week: 38
Requisition ID: REQ508046
Location: Westmead
Applications Close: 25 August 2024 - 11:59pm

About the opportunity
Be at the forefront of diagnostic services that are shaping the healthcare for the future

The successful applicant will be working as a Bioinformatician as part of a team of other bioinformaticians, genomic epidemiologists, laboratory scientists and clinicians at the Microbial Genomics Reference Laboratory, Centre for Infectious Disease and Microbiology Laboratory Services, Institute of Clinical Pathology and Medical Research (CIDMLS-ICPMR), Westmead Hospital providing the NSW Health Pathology's state-wide Microbial Genomics Service.
The applicant will work within the Microbial Genomics Laboratory to develop new bioinformatics pipelines, implement new tools and methods, improve and maintain existing pipelines, and perform various bioinformatics analyses of pathogens ranging from routine genomic surveillance activities to single case studies, local outbreak investigations, and large cross jurisdictional outbreaks. Strong data analysis skills, including programming in scripting languages, and a solid grounding in microbial genomics are essential, as is the ability to work and contribute as a member of a collaborative, multidisciplinary team. Experience with workflow language, cloud computing, software development, visualisation, and code repositories would be beneficial.

What we can offer you
- Accrued Days Off in addition to Annual Leave
- Generous salary packaging options and other fringe benefits 
- Corporate wellbeing programs, including the Fitness Passport
- Learning and development opportunities, including in-house training with RTO My Health Learning

What you'll be doing
This position is based at the Microbial Pathogen Genomics Laboratory, Centre for Infectious Disease and Microbiology Laboratory Services, NSWHP-ICPMR at Westmead Hospital and plays a key role in the delivery of NSW state-wide pathogen genomics services. The Pathogen genomics bioinformatician is responsible for:
- Developing, maintaining and updating bioinformatics tools and pipelines as necessary in collaboration with other bioinformaticians and scientists at CIDMLs
- Managing a wide range of projects under supervision from supervising pathologists and in collaboration with CIDMLS management and laboratory scientists as well as stakeholders such as epidemiologists from NSW Health Protection, other NSW-HP laboratories and committees, and NSW Health Pathology IT staff
- The effective and efficient delivery of defined project outcomes within agreed timeframes, budgets, quality and resources 
- Providing research and analysis to inform project development and implementation and senior management, as needed. 

Interested in joining Australia’s largest public pathology service? Apply now by addressing the following questions:
- Postgraduate degree in Science or Engineering in informatics or genomics or an equivalent qualification from a recognised tertiary institution.
- Demonstrated experience and capability in organising and delivering bioinformatics projects.
- Proven proficiency in open source bioinformatics packages for genomic data analysis and working knowledge of relational databases.
- Demonstrated experience in multi-dimensional data analysis or visualisation.
- Proven ability to manage project scope, monitor project progress and quality, identify and manage project risk and provide appropriate advice to the executive.
- Demonstrated strong strategic, organisational and planning skills with the capacity to successfully meet deadlines.
- Excellent interpersonal and communication skills, with excellent verbal and written expression, and the ability to interact with various levels of internal and external stakeholders.
- Demonstrated ability to interpret and critically evaluate legislation and regulation related to genomic and health data from an operational perspective.

Occupational Assessment, Screening and Vaccination Against Specified Infectious Diseases

This is a Category A position. All Category A applicants must read and understand NSW Health Policy Directive PD2023_022 Occupational Assessment, Screening and Vaccination Against Specified Infectious Diseases. All recruits must agree to comply with the requirements outlined in this policy. All recruits must provide evidence against specified diseases and comply with the requirements of this policy at their own cost prior to appointment.


New to NSW Health Pathology?
The preferred candidate may be required to undergo a functional assessment prior to appointment.

Working Rights
This position is a permanent position. To be eligible for permanent appointment to a position in NSW Health, you must have an Australian citizenship or permanent Australian residency. Please note: A person who is not an Australian citizen or a permanent resident is only eligible for temporary employment for a period not longer than the duration of their current visa.

Talent Pool
If the selection panel identifies more than one suitable candidate for the role, an eligibility list will be created for future permanent full time / part time, temporary and casual vacancies.

Our Commitment to Diversity and Inclusion
NSW Health Pathology is an equal opportunity employer committed to creating an inclusive workplace. We seek to recruit from diverse applicants and create teams with skills, perspectives and experiences that complement each other at work. We welcome suitably qualified applicants regardless of age, ethnicity, socio-cultural background, disability, sexual orientation or gender identity.

Job website:  http://iworkfor.nsw.gov.au/job/pathogen-genomics-bioinformatician-481403

Contact name: Catriona Halliday

Contact email: catriona.halliday@health.nsw.gov.au

Postdoctoral Research Associate / Research Fellow - Infectious Disease Genomics and Computational Microbiology @ University of Sydney

Employer:  University of Sydney

Closing date:  17/09/2024

Brief position description:
Come and join our NHMRC-funded program to explore the interplay between microbial pathogens and their hosts, focusing on clinically important pathogens that share the same niche, eg. respiratory infections, bloodborne viruses, mosquito-borne viruses, infections of the reproductive tract. We use highly parallelisable omics techniques, especially targeted metagenomics, together with custom analysis workflows designed to take full advantage of high-dimensional data.

Job website:  http://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Eveleigh/Postdoctoral-Research-Associate--Research-Fellow---Infectious-Disease-Genomics-and-Computational-Microbiology_0121322-3

Contact name: Tanya Golubchik

Contact email: tanya.golubchik@sydney.edu.au

Research Associate (Bioinformatics) - single cell and spatial analysis of the tumour microenvironment @ University of Western Australia

Employer:   University of Western Australia (Harry Perkins Institute of Medical Research)

Closing date:   1/9/2024

Brief position description:
This position is based within the Systems Biology and Genomics Laboratory, led by Professor
Alistair Forrest and is part of the UWA Centre for Medical Research within the Faculty of Health
and Medical Sciences, based at Harry Perkins Institute of Medical Research (Perkins) in
Nedlands.

The Forrest Group is a cutting-edge research lab specializing in advanced transcriptome
techniques, including single-cell and spatial transcriptomics. Our multi-disciplinary team of
molecular, cellular and computational biologists collaborates to unravel complex biological
questions in both genomics and cancer research. We are leading the Western Australian
Cancer Single Cell initiative which is using single-cell, single-nuclei and spatial transcriptomic
profiling to characterize hundreds of tumour samples kindly donated by patients around Perth.
We are seeking a talented and motivated Bioinformatics Postdoctoral Researcher to join our
dynamic team. The Systems Biology and Genomics lab has a strong focus on analysis of
genome-wide datasets to better understand how tumours work as a cellular ecosystem. 

As the appointee, you will, under minimal supervision, perform computational processing and analysis of sequencing datasets, maintain and develop bioinformatics pipelines, interpret results, and contribute to manuscript writing. The primary focus will be on analysing single-cell and spatial transcriptomics datasets, with potential opportunities to work on other datasets, such as Hi-C and bulk RNA-seq.

You should be highly self-driven, with a strong passion for applying computational methods to understand the tumour ecosystem and its interacting cells. Attention to detail and a curiosity to ask questions and design experiments to answer them are essential.

PhD in Bioinformatics, Computational Biology, Data Science, Computer Science or a related field.

Job website: http://external.jobs.uwa.edu.au/en/job/518040/research-associate-bioinformatics

Contact name: Alistair Forrest

Contact email: alistair.forrest@perkins.uwa.edu.au

Research Scientist – Quantitative Genetics and Genomics @ Agriculture Victoria Research

Employer:   Agriculture Victoria Research, Department of Energy, Environment and Climate Action

Closing date:   27/08/2024

Brief position description:
We are seeking a motivated and experienced Research Scientist trained in quantitative genetics and statistical genomics, for an exciting position working on projects that contribute to the genetic improvement of Australian dairy cattle. The role underpins the Agriculture Victoria strategy to sustainably maximise productivity and adapt to climate pressures while supporting high standards of animal welfare. The research outcomes will help dairy farmers to breed for profitable cows that meet local/export consumer demands and are better adapted to future environments. As part of the DairyBio programme of research, the incumbent will work on innovative approaches to improve dairy cow performance across breeds by integrating multi-dimensional datasets that include traditional phenotypes, novel high-throughput phenotypes (such as mid-infrared spectral - MIR - data, sensors and molecular biomarkers) and sequence/genomic data (potentially including transcriptomic and epigenomic data). A proven track record in quantitative genetics and statistical genomics involving large datasets (e.g., tens of thousands of individuals with millions of sequence variants) is required and experience in international scientific collaborations would be a distinct advantage. The successful applicant is expected to support other scientists as well as MSc/PhD students working in the same area and build a collaborative culture.
Communicating key results and new methodologies to scientists and industry is integral to the role. Publications in key international journals are expected and encouraged. The position offers a unique opportunity to fast track the latest research in sequencing and genomic prediction approaches into industry applications. The successful applicant will be expected to make a substantial individual science contribution by providing significant research and computational capability for projects in the areas of statistical genomics and quantitative genetics in the Computational Biology team, that is part of the Genomics and Cellular Sciences Branch. The position is located in the Centre for AgriBioscience (AgriBio) - a state-of-the-art biosciences research centre and joint venture between Agriculture Victoria and La Trobe University.

Job website: http://careers.vic.gov.au/job/research-scientist-819249?returnurl=https%3A//www.careers.vic.gov.au/jobs/Scientist%3Fkeyword%3DScientist

Contact name: Iona MacLeod

Contact email: Iona.Macleod@agriculture.vic.gov.au

Senior Data Scientist @ Malaghan Institute of Medical research

Employer:  Malaghan Institute of Medical research

Closing date:   31/08/2024

Brief position description:
E te kaikimi mahi, tēnā koe,

The ultimate Tech for Good role, right here in Wellington!

The Malaghan Institute is New Zealand’s leading independent biomedical research institute, with a focus on breakthrough discoveries in immunology and immunotherapy. We have over 130 staff committed to finding cures for diseases using the body’s own immune system. 

Part of the Hugh Green Technology Centre, the newly established Data Science team (core facility) is tasked with supporting our scientists by developing data pipelines, statistical models, and applications to integrate and analyse their diverse data sets. Together with two other data scientists and a DevOps engineer you will form the core of the institute’s data science capability, and work closely with bioinformatics and science staff in other departments to get cutting-edge science done. 

This role is focussed on data analysis, custodianship, and communication. Specifically, you will:

– Kick-off the data science process by gathering the scientists' goals and requirements, and act with autonomy to deliver analyses within deadlines set by the head of Data Science.

– Learn how to use Life Science and Biotech tools and packages (e.g., pySCENIC, Seurat, OMIQ) to analyse our particular data sets (gene sequencing, flow cytometry, and other experimental data). 

– Make the best use of our data science platform and help inform the practices that set us up as a top-notch service delivery squad. 

– Coach scientists and bioinformaticians in coding, data analysis techniques, machine learning, and the use of our data science platform. 

This is a full-time position for an initial fixed term of 24 months, working 40 hours per week, Monday to Friday 8:30am – 5:00pm, with some flexibility to work from home.

Ngā Pūkenga | Experience and Skills

Required - There are some skills we’ll need on Day One:

– Python: While Biotech is largely anchored in R, Python is our preferred language for the future. We need someone who is comfortable crafting original code and notebooks in Python, and also porting scripts from R. You don’t have to be an R pro, just understand (or learn) enough to translate. 

– Machine learning: Lots of standard, modern analysis methods in Biology rely on machine learning. You will need a working understanding of clustering, dimensionally reduction, and other ML basics. 

– Modern data platforms: We use a Jupyter-based platform, so you will need experience with the likes of Anaconda, Databricks, SageMaker, or similar, as well as source control software. 

– Communication: This role is largely based on translating research into data analysis and back into research. You don’t have to understand all the immunology! You will just have to tease out what information you need in order to analyse data, and then explain results to biologists. If you have experience working in a niche domain it will come in very handy. 

– Data custodianship: This role needs some experience with data operations: the whole cycle from characterising data post-acquisition to analysing in a reproducible way, while protecting sensitive medical research data and intellectual property. 

– Service mindset: One of your tasks will be to support users of our data science platform with their day-to-day work (e.g., fixing application bugs, troubleshooting package installations). If you have experience in a service team, that will also come in very handy. 

Advantageous - It’s not required but it would be a bonus if you have any of the following skills:

– Experience with standard Genomics packages and processes. 
– Knowledge of statistics, e.g., hypothesis testing and experimental design. 
– Code optimisation, e.g., refactoring, pushing to GPU, porting to low-level languages.
– Familiarity with DevOps environments (dev vs prod) and deployment tools. 
– Experience using macOS and Linux machines. 
– Familiarity with science operations or a research science background. 

Ngā painga | Benefits

– Contribute directly to ground-breaking, life-saving medical research!
– A unique research environment: work with highly driven scientists and highly technical support staff.
– Lifelong learning culture with an associated L&D budget.
– Employee Assistance Programme – confidential, professional services which can support and guide you through your personal or work challenges.
– Great location on campus, lots of quiet space, short walk to cafes and shops in Te Aro, Aro Valley, or Kelburn. Have lunch in a collegial environment, hang out in your favourite spot, or take a walk to the Botanic Garden!
– Access to University life (e.g., lectures and panels) and facilities.
– Base salary starting from $110,000 depending on experience.

Here are some examples of the great work our teams do and how we are setting up for the future:

– In Focus: Shooting for the stars, propelling our research in the information age (https://smex-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=https%3a%2f%2fwww.malaghan.org.nz%2fnews%2dand%2dreports%2fnews%2fin%2dfocus%2dshooting%2dfor%2dthe%2dstars%2dpropelling%2dour%2dresearch%2din%2dthe%2dinformation%2dage%2f&umid=1f8b2755-c55b-4acf-8a93-023a3a96374c&auth=6ee66d642a212b82964c9073f0dd934b55317413-aa9a813f2feb8f36a96a85103d8bfdf988dd7492)

– NZ invention to enhance safety of CAR T and other cell therapies (https://smex-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=https%3a%2f%2fwww.malaghan.org.nz%2fnews%2dand%2dreports%2fnews%2fnz%2dinvention%2dto%2denhance%2dsafety%2dof%2dcar%2dt%2dand%2dother%2dcell%2dtherapies%2f&umid=1f8b2755-c55b-4acf-8a93-023a3a96374c&auth=6ee66d642a212b82964c9073f0dd934b55317413-2b9ce707cdd005339826928d76ccbe053b3cbcd2)

– Vaccine alliance formed as collaborators establish national COVID-19 vaccine screening and development programme (https://smex-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=https%3a%2f%2fwww.malaghan.org.nz%2fnews%2dand%2dreports%2fnews%2fvaccine%2dalliance%2dformed%2das%2dcollaborators%2destablish%2dnational%2dcovid%2d19%2dvaccine%2dscreening%2dand%2ddevelopment%2dprogramme%2f&umid=1f8b2755-c55b-4acf-8a93-023a3a96374c&auth=6ee66d642a212b82964c9073f0dd934b55317413-53935b8e0bcd3f2fad0d51497ee0a96d6fc955fb)

The Malaghan Institute is also an equal opportunity employer, and values diversity alongside being committed to upholding Te Tiriti o Waitangi and Vision Mātauranga. We support Māori health advancement in partnership with Te Urungi Māori, the Institute’s Māori advisory group, we therefore welcome Māori applicants for this role. 

Me Pēhea te tuku tono | How to apply

If you share our passion for building cures, and think you’d be a valuable addition to this project, apply now by sending both your Cover Letter and CV. Applications close on Aug 31, 2024 for a start date as soon as possible. Interviews may be held immediately should the right candidates apply, so don’t wait, tone inaianei!

Applicants must have the legal right to work in New Zealand.

Job website: http://malaghannz.bamboohr.com/careers/150

Contact name: Hercules Konstantopoulos

Contact email: herculesk@malaghan.org.nz

PhD Scholarship - Targeting transposable elements in cancer @ SAiGENCI and University of Adelaide

Employer:  SAiGENCI

Closing date:   30/09/2024

Brief position description:
Transposable elements (TEs), also known as “jumping genes” are repetitive genomic elements that represent almost half of the human genome. While the majority of TEs in the human genome have lost the ability to transpose, their sequences hold a significant regulatory potential. TEs contain binding sites for transcription factors (TFs), enabling them to function as alternative promoters or enhancers regulating the gene expression. TEs are frequently activated during tumorigenesis, promoting oncogenic gene expression. While some TEs have been previously documented to contribute to gene deregulation in cancer, a comprehensive view of the regulatory landscape of TEs in cancer remains incomplete. This project will leverage large pan-cancer transcriptome, epigenome, and 3D genome datasets to carry out a comprehensive study of the contribution of TEs to the regulatory cancer genome. 

Ideally, we are seeking a candidate with prior research experience in NGS data processing and analyses, and knowledge of at least one computational language (e.g., Python, R). Datasets you will have access to include ATAC-seq, RNA-seq Hi-C, ChIP-seq/CUT&RUN, Nanopore, and single-cell data. We have access to HPC to streamline any large data processing and machine learning applications.

Interested candidates, please email a cover letter explaining your interest in the position and relevant experience along with a CV and transcripts to joanna.achinger@adelaide.edu.au.

Job website: https://smex-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=http%3a%2f%2fachingerlab.com&umid=a8c4442d-db60-4c38-ac21-33995073cbac&auth=2af5473c4b03509246eb08bd803a6cf835f69953-f842cca45072ae94ad95be57bead415989e40ebd

Contact name: Joanna Achinger-Kawecka

Contact email:  joanna.achinger@adelaide.edu.au

PhD Scholarship - Improving molecular and phenotypic predictions through network-based prior knowledge and AI @ University of Queensland

Employer:   University of Queensland (ARC Centre of Excellence for Plant Success in Nature and Agriculture)

Closing date:   15/08/2024

Brief position description:
Are you interested in applying graph theory and AI algorithms to practical biological problems? If so, this PhD opportunity might be for you! This project, supervised by Dr. David Kainer at The University of Queensland, will develop and apply machine learning and AI approaches for network-assisted analyses that can improve crop development, including prediction of:
- gene-to-gene relationships
- gene editing outcomes 
- phenotypes

As part of the ARC Centre of Excellence for Plant Success in Nature and Agriculture, you will be part of a highly talented and diverse team of researchers in biology, maths, computer science and agriculture.

Job website:   https://study.uq.edu.au/study-options/phd-mphil-professional-doctorate/projects/improving-molecular-and-phenotypic-predictions-through-network-based-prior-knowledge-and-ai

Contact name: David Kainer

Contact email:  d.kainer@uq.edu.au

2 year full-time Post Doc - Bioinformatics (Multiple Sclerosis) @ University of Newcastle

Employer:  University of Newcastle

Closing date:   16/08/2024

Brief position description:
As the Bioinformatics Post-doctoral Fellow you will help generate, analyse and interpret "multi-omic" data (eg. genomic, epigenomic, transcriptomic) using a variety of biocomputational approaches that include conventional and novel approaches (eg. machine learning). 

Your responsibilities in this role will include:
-Analysis of genomics and multi-omics datasets.
-Support training of PhD and undergraduate students.
-Contribute to grant and paper writing.
-Attend regular study meetings to discuss findings.
-Attend and present at local, national or international conferences.

Job website:   http://www.seek.com.au/job/77471655?savedSearchID=237ec23c-e02d-456c-9d79-1dc28ea8b146&tracking=JMC-SavedSearch-anz-1

Contact name: Rodney Lea 

Contact email:   rodney.lea@newcastle.edu.au