Position title: Senior Data Scientist and Team Leader
Employer: The University of Queensland
Closing date: 13/2/2022
Brief position description: The ARC Centre of Excellence in Synthetic Biology is looking for a senior data scientist and team leader to drive our program in modelling microbial capture of greenhouse gasses (carbon dioxide, carbon monoxide and methane). You will be part of a multinational team involving data scientists, engineers and biologist from academia and industry exploring the potential of various microbes and ways to engineer superior microbes and bioprocesses.
The focus of the data science team is the development of
(1) an advanced knowledgebase – the C1 Global Metabolic Atlas – that captures existing and emerging knowledge of microbial C1 metabolism (genomes, networks, thermokinetics), and
(2) a variety of data and mechanistic modelling frameworks used to explore large experimental data sets and to guide design of superior microbes and bioprocesses.
As a team leader, you will lead a small UQ based team of scientists, programmers and graduate students and coordinate the effort with collaborating teams in Denmark and USA.
Job website: https://uq.wd3.myworkdayjobs.com/en-US/uqcareers/job/St-Lucia-Campus/Senior-Data-Scientist-and-Team-Leader_R-04780-1
Contact name: Lars Nielsen
Contact email: lars.nielsen@uq.edu.au
Postdoctoral Research Fellow in Data Science @ QLD
Position title: Postdoctoral Research Fellow in Data Science
Employer: The University of Queensland
Closing date: 13/2/2022
Brief position description: The ARC Centre of Excellence in Synthetic Biology is looking for a postdoctoral research fellow to join our program in modelling microbial capture of greenhouse gasses (carbon dioxide, carbon monoxide and methane). You will be part of a multinational team involving data scientists, engineers and biologist from academia and industry exploring the potential of various microbes and ways to engineer superior microbes and bioprocesses.
The focus of the data science team is the development of
(1) An advanced knowledgebase – the C1 Global Metabolic Atlas – that captures existing and emerging knowledge of microbial C1 metabolism (genomes, networks, thermokinetics), and
(2) A variety of data and mechanistic modelling frameworks used to explore large experimental data sets and to guide design of superior microbes and bioprocesses.
As a postdoctoral research fellow, you will contribute within your field of expertise to the overall progress of program, while working closely with colleagues at UQ and collaborating teams in Denmark and USA.
Job website: http://uq.wd3.myworkdayjobs.com/en-US/uqcareers/job/St-Lucia-Campus/Postdoctoral-Research-Fellow-in-Data-Science_R-04812
Contact name: Lars Nielsen
Contact email: lars.nielsen@uq.edu.au
Research Fellow - Bioinformatics @ VIC
Position title: Research Fellow - Bioinformatics
Employer: School of Biomedical Sciences, The University of Melbourne
Closing date: 09 Feb 2022 11:55 PM AUS Eastern Daylight Time
Brief position description:
Work type: Fixed Term
Location: Parkville
Division/Faculty: Faculty of Medicine, Dentistry and Health Sciences
Department/School: School of Biomedical Sciences
Salary: $75,289 - $102,163 (Level A)
Role & Superannuation rate: Academic - Full time - 17% super
Founded in 1853, the University of Melbourne is Australia’s #1 university and is consistently ranked amongst the leading universities in the world. We are proud of our people, our commitment to research and teaching excellence, and our global engagement.
About the Department of Microbiology and Immunology
The Department of Microbiology & Immunology is one of the departments within the School of Biomedical Sciences in the Faculty of Medicine, Dentistry and Health Sciences.
Further information is available at http://www.microbiol.unimelb.edu.au/ and http://bsac.unimelb.edu.au/.
About the Role
The Peter Doherty Institute for Infection and Immunity (Doherty Institute) is internationally renowned for its cutting-edge studies of infectious diseases and immunity, as highlighted during the COVID-19 pandemic. To support ongoing and new research activities at the Doherty Institute, a new Computational Sciences Initiative has been formed. This is to provide new resources for computational and data sciences, incorporating bioinformatics, biostatistics, infectious disease modelling and artificial intelligence.
As part of the Institute’s Computational Sciences Initiative, a Research Fellow is required to drive computational and statistical analysis of multi-omics datasets, applied to the areas of infectious diseases and immunology. The candidate will be self-motivated and develop a strong program of collaborative projects with other researchers in the Doherty Institute. This is anticipated to generate substantial new scientific discovery in areas spanning Immunology and Microbiology pursued in the institute. It will also facilitate the development of novel approaches in bioinformatics, particularly in the application of mathematical and computational techniques to analyse data from new and emerging ‘omic’ technologies, including genomics, epigenomics, transcriptomics, proteomics, and metabolomics. Talented, highly motivated, computer scientists with an interest in infection and immunity are encouraged to apply
About You
PhD in bioinformatics, statistivs, computer science or a related field
Demonstrated ability to communicate across teams and disciplines (biology and computer science), work as a member of a research team, and interact in a courteous, collaborative and effective manner with academic, administrative and support staff
Experience in running bioinformatics workflows on high-performance computing clusters
Experience in analysis of high-dimensional datasets, ideally those arising from high-throughput molecular assays
Strong organisation skills and accurate recording and analysis of data generated from research undertaken
Demonstrated experience in using initiative, working with minimal supervision and ability to prioritise tasks to achieve project objectives within timelines
Excellent verbal and written communication skills, demonstrated by presentation of research results at internal forums, conferences, and through manuscript submissions, inclusive of manuscripts posted to preprint servers
Experience in the following would be desirable: analysing single cell RNAseq datasets; integrating different high-dimensional datasets and multi-omics analyses; developing bioinformatics pipelines and/or software packages; cloud computing; machine learning or statistics; supervising students or research staff; and fundamental understanding and prior exposure to concepts in immunology and/or microbiology.
Benefits of Working with Us
In addition to having the opportunity to grow and be challenged, and to be part of a vibrant campus life, our people enjoy a range of rewarding benefits:
Flexible working arrangements and generous personal, parental and cultural leave
Competitive remuneration, 17% super, salary packaging and leave loading
Free and subsidised health and wellbeing services, and access to fitness and cultural clubs
Discounts on a wide range of products and services including Myki cards and Qantas Club
Career development opportunities and 25% off graduate courses for staff and their immediate families
To find out more, please visit https://about.unimelb.edu.au/careers/staff-benefits.
Be Yourself
At UoM, we value the unique backgrounds, experiences and contributions that each person brings to our community, and we encourage and celebrate diversity. Indigenous Australians, those identifying as LGBTQIA+, females, people of all ages and culturally diverse backgrounds are encouraged to apply for our roles. Our aim is to create a workforce that reflects the community in which we live.
Position Description: 0055073_Research Fellow, Bioinformatics_PD.pdf
Job website: https://jobs.unimelb.edu.au/en/job/907615/research-fellow-bioinformatics
Contact name: Dr Jan Schroeder
Contact email: jan.schroeder@unimelb.edu.au Please do not send your application to this contact
Clinical Genomics Scientist Australia
Position title: Clinical Genomics Scientist Australia
Employer: Invitae
Closing date: 31-03-2022
Brief position description: Location: Australia
Language requirements: English. Additional languages are a plus!
Start date: ASAP
Invitae is on a mission to drive genetic information into mainstream medicine to improve healthcare for billions of people.
To bolster our shared mission and help Invitae expand, we are looking for a Clinical Genomic Scientist. In this position, you will be curating, analyzing, interpreting, and reporting clinical genetic data derived from a variety of core technologies such as NGS panels, MPS exome sequencing, and chromosomal microarray among others.
A day in the life
Your typical day might include the following:
- Focusing up to 75% of your time on variant interpretation (aka variant curation), applying validated in-house genetic evidence systems, using these interpretations to build clear and concise clinical reports;
- Collaborating with our genetic pathologists, medical geneticists, genetic counselors, genomics scientists, bioinformaticians, quality managers, etc;
- Performing analyses of clinical and genetic information, including published literature, public and private databases, functional studies and modeling, as well as patient clinical records;
- Crafting, curating, and detailing genetic content for a broad range of genetic disorders to support our operations and clinical offerings.
This job might be for you if:
- You hold a FFSc, FHGSA/MHGSA, MD/MBBS, PhD or MSc in genetics, genetic counseling, or a related field. We encourage candidates with undergraduate degrees and relevant work experience to apply!
- You have developed skills in interpreting, synthesizing, and evaluating complex genetic information; Knowledge in variant interpretation (variant curation) is a plus;
- You possess excellent written and verbal communication skills;
- You are familiar with next-generation/massively-parallel sequencing or acquainted with sophisticated methods of copy number detection and have experience at a NATA-accredited diagnostic laboratory. This is valued, but not essential.
Job website: https://www.invitae.com/en
Contact name: Rosa Markus
Contact email: rosa.markus@invitae.com
Associate Director, Translational Bioinformatics @ VIC
Position title: Associate Director, Translational Bioinformatics
Employer: CSL Limited
Closing date: 13 February 2022
Brief position description: The Opportunity:
We have an exciting opportunity available for an Associate Director, Translational Bioinformatics to join our Research team, based at Bio 21 Institute, in the heart of Melbourne's Biomed Precinct.
In this newly created position, you will deliver a translational bioinformatics strategy for selected therapeutic areas and set priorities to support the execution and evolution of CSL R&D strategy. You will lead and collaborate with a lean global team of bioinformaticians with expertise in various -omics and high throughput screening technologies to develop and apply advanced bioinformatics methods and analyses to support translational activities across CSL R&D portfolio.
You will work with Therapeutic Area Leads, Translational Science and Clinical Development functions to deliver product strategies, data science plans and project goals focused on, but not limited to, MoA studies, predictive biomarker development, patient stratification and target discovery and validation. You will ensure robust experimental design of -omics and high throughput assays based on sound research and/or clinical questions.
You will report to the Head of Bioinformatics & AI and work with Data Science peer functions across R&D and I&T organizations, to provide bioinformatics and AI platforms and partnerships to advance translational research and allow the utility of -omics and high throughput technologies in R&D studies. Furthermore, you will support reviewing new product opportunities and partnerships from external collaborators to bring new projects into the pipeline and support the progression of existing research and clinical programs across multiple therapeutic areas.
You will collaborate with peer functions to establish and manage an integrative outsourcing strategy working with external collaborators from academia and industry and work with CSL’s academic partners to develop new bioinformatics & AI talent through undergraduate internships and postgraduate research co-supervision/placements.
You will require:
• PhD in computational biology, bioinformatics, statistical genomics, computer science, or a related discipline with computational and biomedical components
• 4+ years post-doctoral experience in bioinformatic data analytics in a collaborative, interdisciplinary environment in academia and/or industry with a focus on translational research.
• 4+ years’ experience as a group lead in the biotechnology or pharmaceutical industry (or where relevant a biomedical research organisation)
• Experience applying advanced statistical, bioinformatic and AI methods to analyse multi-omic datasets (including phenotypic, non-genomic assay, bulk tissue, and single cell data) and working with life scientists to draw statistically sound biological insights from experimental data.
• Experience building and using bioinformatic methods and databases to answer key research questions related to experimental design, biomarker discovery, patient stratification and target discovery and validation (e.g., gene expression databases, clinical variants,).
• Experience working in a Unix-like and high-performance computing (HPC) environment on-premises and/or in the cloud using Python, R and other scientific computing languages.
• Track record of publications and presentations at national and international conferences and industry events.
Apply now to join an ASX Top 5 organisation that directly helps patients and public health in Australia and overseas!
Applications close 13 February 2022
Please include a covering letter addressing the selection criteria.
CSL is an Equal Opportunity Employer
Job website: https://csl.wd1.myworkdayjobs.com/CSL_External/job/APAC-AU-Victoria-Parkville-CSL-Limited-Australia/Associate-Director--Translational-Bioinformatics_R-157835-1
Contact name: Sophie Saba
Contact email: Sophie.Saba@csl.com.au
Bioinformatics Research Officer @ QLD
Position title: Bioinformatics Research Officer
Employer: QIMR Berghofer Medical Research Institute
Closing date: 25th January 2022
Brief position description: Applications are invited for an experienced bioinformatician to join the Medical Genomics Group headed by Dr Nic Waddell. The exciting position involves working on large cancer datasets including whole genome sequencing, transcriptomics, immunohistochemistry and long read sequencing from a variety of tumour types. The position involves developing and using analytical workflows to analyse cancer genomes. Working independently and with collaborators, a number of scientific questions will be explored including: unravelling tumour heterogeneity, finding new treatment opportunities, and studying the tumour microenvironment.
You are expected to have a strong track record in bioinformatics. This position will work alongside other bioinformaticians in the Medical Genomics Group, and will work closely with a PhD student who is focused on using long read sequencing to explore genomic heterogeneity.
Job website: http://qimrberghofer.turborecruit.com.au/job/job_details.cfm?id=498584&from=
Contact name: Nic Waddell
Contact email: nic.waddell@qimrberghofer.edu.au
ioinformatician - Statewide Genomics @ NSW
Position title: Bioinformatician - Statewide Genomics
Employer: NSW Health Pathology
Closing date: 6/2/2022
Brief position description: NSW Health Pathology are looking for a Bioinformatician to contribute to the management and development of Statewide genome informatics system whilst collaborating and building effective working relationships with key stakeholders to support project development and implementation.
With flexibility on location between Newcastle and St Leonards you don’t want to miss out on this opportunity!
Job website: http://jobs.health.nsw.gov.au/nswhp/jobs/bioinformatician-statewide-genomics-132543
Contact name: Eva Chan
Contact email: eva.chan@health.nsw.gov.au
PhD Project: Bioinformatics analysis of tertiary phase glial in preterm brain injury @ VIC
Position title: PhD Project: Bioinformatics analysis of tertiary phase glial in preterm brain injury
Employer: RMIT University
Closing date: 28 February 2022
Brief position description: Permanent brain injury in babies can result from exposure to an inflammatory insult combined with being born preterm (<37 of 40 weeks’ gestation). Over their lifetime, these infants frequently struggle in academic and social settings due to cognitive and social deficits linked to their brain injuries. It is known that the cellular reactivity, termed the tertiary phase of injury persists into childhood and adolescence after early brain injury and is also observed after multiple other forms of brain injury. These changes involve dysfunction of astrocytes and microglia and sensitises the brain to further injury. By identifying these changes creates opportunities for novel therapeutic development.
This project would add to this field of research by identifying the signature of injury in a mouse model of preterm inflammatory brain injury. This would involve the bioinformatic analyses of novel RNA-seq data for cell-specific and temporal changes in a mouse model of human development and the thorough integration of existing data. Network exploration for pathway involvement in known pathways of cell function regulation will be key in identifying the nature of the changes. The identified glial signature will be validated at gene and protein levels in this lab to confirm and validate findings.
The preferred PhD candidate will have completed an Honours or Masters in bioinformatics, biostatistics, molecular biology, computer science, or a related discipline, and have a keen interest in neurobiology and development. This PhD position is supported by a scholarship.
Job website: https://www.rmit.edu.au/research/research-degrees/find-a-project
Contact name: Alice Johnstone
Contact email: alice.johnstone@rmit.edu.au
PhD Project: biomarker identification in lutetium PSMA-treated prostate cancer patients using circulating tumour DNA @ VIC
Position title: PhD Project: biomarker identification in lutetium PSMA-treated prostate cancer patients using circulating tumour DNA @ VIC
Employer: Peter MacCallum Cancer Centre
Closing date: 31/01/2022
Brief position description: Prostate-specific membrane antigen (PSMA) is a type 2 membrane glycoprotein overexpressed on prostate cancer cells that has emerged as a key therapeutic target in metastatic castration-resistant prostate cancer (mCRPC). Two landmark trials (including one led by Peter MacCallum Cancer Centre) have positioned lutetium PSMA radionuclide therapy (Lu-PSMA) as a highly effective new treatment option for mCRPC. Nevertheless, responses to Lu-PSMA treatment can be variable, and development of resistance remains inevitable. Identifying biomarkers linked to outcomes with Lu-PSMA is therefore a critical unmet need, in order to select patients most likely to benefit from treatment and to dissect mechanisms of therapeutic resistance.
As part of the newly opened Prostate Imaging and Theranostic Centre of Excellence (ProsTIC), we are running a series of investigator-led clinical trials with Lu-PSMA and other theranostics. Serial plasma samples collected as part of these trials represents a valuable world-first repository of biospecimens with which to perform biomarker discovery. Currently, these plasma samples are being utilised to generate targeted sequencing data from which somatic and germline mutations can be identified. As part of this fully-funded project, students will help to develop bioinformatics approaches to analyse and explore next-generation sequencing data to identify putative predictive and prognostic biomarkers for this novel radionuclide therapy that may be incorporated into future clinical trials here at Peter Mac. Students will receive training in clinical trial research, genomics, cancer biology, bioinformatics and biostatistics and will work with a team of wet-lab biologists and bioinformaticians. The candidate will require prior experience with unix-like operating systems, R and/or python programming languages. A background in mathematics or statistics is also highly desirable.
Job website:
Contact name: Heidi Fettke
Contact email: heidi.fettke@petermac.org
Bioinformatician - Cancer Research @ VIC
Position title: Bioinformatician - Cancer Research
Employer: Peter MacCallum Cancer Centre
Closing date: 19 Dec 2021
Brief position description: A professional bioinformatics role to support translational cancer immunotherapeutic research. Looking for candidates with 1 - 5 years of experience.
Job website: http://www.seek.com.au/job/55136586?type=standard#searchRequestToken=2446ba19-53d3-4d4a-8ead-6dfd7aa7de1d
Contact name: Jason Li
Contact email: jason.li@petermac.org