Bioinformatics Research Officer @ VIC

Employer: The University of Melbourne - Doherty Institute

Closing date: 11 March 2023

Brief position description: An exciting opportunity is available for a PhD qualified Bioinformatician to join the Computational Sciences Initiative at The Peter Doherty Institute for Infection and Immunity.

About the Role

The role is to deliver projects supervised by Dr Jan Schroeder within the Institute’s Computational Sciences Initiative (CSI). The successful candidate will collaborate with other research groups and develop bioinformatics projects to support ongoing and new research in the areas of infectious diseases and immunology. The Research Officer will drive computational analysis of multiomic datasets, with a focus on bulk, single-cell and spatial omic data, data integration, and use of machine learning approaches to analyse multiomic datasets.

Responsibilities include:

* Assist the development of a strong program of collaborative research with other groups at the Doherty Institute in bioinformatics.
* Develop new methods and software packages for analysis of genomic, epigenomic, transcriptomic, proteomic and metabolomic sequence data where appropriate.
* Develop and apply machine learning approaches to analyse multiomics datasets.
* Be responsible for qualitative and statistical analysis of research data and to communicate this information to collaborators.

About You

* Completion of a PhD in bioinformatics, computer science or a related field.
* 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 ability to communicate across teams and disciplines (computer science and biology), and work as a member of a research team.
* Excellent verbal and written communication skills, demonstrated by presentation of research results at internal forums, conferences, and through manuscript submissions.
* Demonstrated experience in using initiative, working with minimal supervision and ability to prioritise tasks to achieve project objectives within timelines.

Please see the website below for more information, the position description and application details.

Job website: http://jobs.unimelb.edu.au/en/job/911744/research-officer-bioinformatics

Contact name: Jan Schroeder

Contact email: jan.schroeder@unimelb.edu.au

Senior Lecturer/Lecturer/Assistant Lecturer in Bioinformatics @ Hong Kong

Position title: Senior Lecturer/Lecturer/Assistant Lecturer in Bioinformatics

Employer: The University of Hong Kong

Closing date: 15 July 2023

Brief position description: Applications are invited for appointment as Senior Lecturer/Lecturer/Assistant Lecturer in Bioinformatics (several posts) in the School of Biomedical Sciences (Ref.: 518996), to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal.

Applicants should have a Ph.D. degree in bioinformatics, computational biology, genomics, biomedical data science, or a related discipline. Excellent motivation in teaching and learning should be demonstrated in teaching bioinformatics and related disciplines. The appointee will contribute to the bioinformatics programme (https://www.bioinfo.hku.hk/) , and also support bioinformatics teaching with the biomedical sciences, biochemistry, medicine, nursing and pharmacy undergraduate programmes. Applicants should also have strong communication and organizational skills, the ability to work independently and as a team, and be able to multi-task. 

The appointee will be responsible for teaching, conducting tutorials and demonstrations, supporting curriculum design, and developing teaching materials, etc. He/She will work closely with a team of colleagues dedicated to the development and delivery of innovative pedagogical approaches to improve student learning across several undergraduate and postgraduate degree programmes. For further information about the post, please contact Dr. Joshua Ho at jwkho@hku.hk or Dr. Jason Wong at jwhwong@hku.hk.

Job website: http://jobs.hku.hk/en/job/518996/senior-lecturerlecturerassistant-lecturer-in-bioinformatics

Contact name: Joshua Ho

Contact email: jwkho@hku.hk

Informatics Consultant @ VIC

Position title: Informatics Consultant

Employer: Peter MacCallum Cancer Centre

Closing date: 20/02/2023

Brief position description: This position will play a key role in providing informatics support for Peter Mac researchers through the provision of consulting and training.

The successful applicant will be required to embed themselves within various research groups in order to understand, consult and help direct analyses. Additionally, the role will require the formulation and delivery of training seminars and workshops designed to upskill and empower our researchers in informatics software.

This role will have the opportunity to work collaboratively with Peter Mac researchers on publications and grant applications to help ensure the quality of their analysis plan is of a high standard. It is also envisioned that the successful applicant will participate in and contribute to Peter Mac's grant mentorship program.

As this role is centred around the analysis of biological data it is anticipated the successful applicant will have the ability to communicate effectively with biological researchers on complex problems.

Job website: http://www.seek.com.au/job/60071797?type=standout#sol=2b1706423269af2b89fec835260f1f3f135bbc22

Contact name: Jason Ellul

Contact email: jason.ellul@petermac.org

Data Scientist / Bioinformatician

Position title: Data Scientist / Bioinformatician

Employer: Hartwig Medical Foundation Australia

Closing date: 28/01/2023

Brief position description: What do you do as a Data Scientist / Bioinformatician at Hartwig Medical Foundation Australia?

As a Data Scientist / Bioinformatician at Hartwig Medical Foundation Australia, you will be responsible for the design, testing and integration into pipeline workflows of novel algorithms for processing whole transcriptome and whole genome data of patient samples. Our software takes raw sequencing data as input and produces a comprehensive molecular profile of each tumor, and then annotates and interprets the data to provide the best possible treatment recommendation to each patient. Your contribution will play an important role in optimizing the impact that our data, analyses and conclusions have on patients.

Furthermore, you will have access to Hartwig’s database of >6,000 cancer genomes and suite of analysis tools with opportunities to make novel contributions and observations and publish if desired.

What you’ll be doing

- Working closely with software engineers and cancer researchers to develop cutting edge algorithms for analyzing RNA and DNA sequencing data
- Leveraging Hartwig’s tools and database to help explore, discover and validate new insights in tumor biology and treatment
- Working with our many collaborators and users of our tools to help integrate our tools into research and clinical pipelines
- Improving productivity and scalability of our internal processes, engineering and analyses via automation and simplification

This is us

Hartwig Medical Foundation Australia is an innovative not for profit organization that wants to ensure that every patient with cancer receives the best possible treatment and care. We are a small team of software engineers and data scientists with a strong expertise in software engineering, genomics and cancer biology.

Our vision is to make whole genome (WGS) and whole transcriptome (WTS) based testing available to every cancer patient in Australia to guide their treatment. We aim to do this both by creating novel algorithms to identify new biomarkers and improve the utility of WGS/WTS, and by applying best software engineering practices to simplify, automate and drive down the cost of analysis and reporting.

Together with our partner organization Hartwig Medical Foundation in the Netherlands, we also develop and maintain the world’s largest publicly available database of whole cancer genomes and transcriptomes. We closely collaborate with leading cancer translational research organizations here in Australia and around the world who use both our database and our open-source software.

More information about the organization and activities can be found on hartwigmedicalfoundation.nl.

Job website: https://www.hartwigmedicalfoundation.nl/en/vacancies-australia/

Contact name: Peter Priestley

Contact email: info@hartwigmedicalfoundation.nl

Computational Biologist (Genomic Medicine) @ NSW

Position title: Computational Biologist (Genomic Medicine)

Employer: Garvan Institute of Medical Research/Centre for Population Genomics

Closing date: Until Filled

Brief position description: We are seeking a Computational Biologist to design and deploy scalable methods for the identification and analysis of somatic variation. These will be applied across large-scale clinical and genomic datasets, consisting of both short- and long-read whole genome sequence data, as well as single-cell RNA sequencing data. This will involve working closely with researchers and collaborators across the CPG, Garvan, and beyond, and play an important role in understanding the pathogenesis of both common and rare disease.

Job website: https://populationgenomics.org.au/wp-content/uploads/2022/12/PD_ComputationalBiologist_OS.docx.pdf

Contact name: Owen Siggs

Contact email: owen.siggs@populationgenomics.org.au

Bioinformatician @SA

Position title: Bioinformatician

Employer: University of Adelaide

Closing date: 23 February 2023

Brief position description: Academic Level A or B (depending on qualifications and expertise).

An excellent opportunity is available for a Masters or PhD qualified researcher in Bioinformatics to join an international, multidisciplinary collaborative research program investigating mechanisms of hormonal regulation of gene expression in the Dame Roma Mitchell Cancer Research Laboratories (DRMCRL), and Robinson Research Institute (RRI), University of Adelaide. This team studies mechanistic aspects of steroid hormone receptor action to develop therapies for breast and prostate cancers as well as for reproductive function and contraception. 

The bioinformatician will be central to the experimental design of multi-omic (ie. ChIP-seq, RNA-seq, ATAC-seq, proteomic and metabolomic) discovery research projects and analysis and integration of large ‘omic datasets. The successful applicant will work closely with investigators in both the DRMCRL and RRI, their national and international collaborative partners, and integrate with specialist bioinformaticians in the University of Adelaide eg SAiGENCI. 

The successful applicant will have a commitment to the application of bioinformatics in hormone action research and contribute to the preparation of manuscripts and presentations at local, national and international meetings. The candidate should have the ability to apply mathematical, statistical and computational principles to genomic problems. Experience with data analysis, programming and large datasets would be an advantage as would experience in R, Python, Unix and software development. 

This is a full-time position commencing immediately for 1 year in the first instance, with high probability to extend. Salary is Academic Level A – Level B (AUD $72,829 – $121,779) plus 17% superannuation.

Job website: https://careers.adelaide.edu.au/cw/en/job/511275/researcher-ab-bioinformatics

Contact name: Wayne Tilley

Contact email: wayne.tilley@adelaide.edu.au

Talent Lead @NSW or VIC

Position title: Talent Lead

Employer: Garvan Institute of Medical Research

Closing date: 28/2/2023

Brief position description: Computational Biologist position to be based in NSW or VIC.

Job website: https://smex-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=http%3a%2f%2fpopulationgenomics.org.au%2fcareers%2f&umid=4c3b5f61-ba59-4d26-9fa3-5470233e850a&auth=4d41e25c5d761d3d9b3f3fb6ac781e525dd700b4-d9d38b8aacd402d78e1c75872a4f3f721193e672

Contact name: Iana Ramos

Contact email: i.ramos@garvan.org.au

Postdoctoral Research Associate in Statistical Bioinformatics @NSW

Position title: Postdoctoral Research Associate in Statistical Bioinformatics

Employer: The University of Sydney

Closing date: 6 February 2023

Brief position description: 

• Full time 18 month fixed term, located on the Camperdown Campus at the School of Mathematics and Statistics
• Opportunity to make valuable contributions to research in statistical bioinformatics and biomedical data science
• Base Salary Level A $97,043 p.a. - $100,717 p.a. + 17% superannuation 

About the opportunity
We are one of the largest mathematical sciences schools in Australia, and the University of Sydney is the only Australian university to have received the highest rating of 5 out of 5 for research in the mathematical sciences in every Australian Research Council Excellence in Research for Australia assessment to date. The University also hosts the Sydney Mathematical Research Institute (SMRI), which attracts leading mathematical scientists from all over the world to do research with Australian collaborators. 

We are seeking to appoint a Postdoctoral Research Associate to work on a project entitled ‘Multiscale data integration for single cell spatial genomics’. The successful candidate will work under the supervision of Dr Shila Ghazanfar on developing new statistical and algorithmic techniques to understand single cell spatial genomics data. This project has recently been funded by the Chan Zuckerberg Initiative.

Technological advances in measuring gene expression in a spatially resolved manner have resulted in several tour-de-force publicly available datasets, often accompanied by sample-matched dissociated single cell RNA-seq or single cell multi-omic measurements. However, many integrative data analysis tasks for spatial genomics are performed using tools designed with dissociated single cell RNA-seq data in mind, effectively ignoring the specific data structures of spatial genomics data. This project will develop new data science techniques for multiscale data integration of single cell spatial genomics, with applications in several collaborative contexts.

Your key responsibilities will be to:
• undertake research in statistical bioinformatics for single cell spatial genomics
• publish research papers
• demonstrate research excellence
• assist with grant writing and publishing original work
• participate in research group meetings and other activities
• formulate and refine statistical and computational methods for single cell spatial genomics data integration
• develop software using the R language and contribute to Bioconductor.

The School of Mathematics and Statistics of the University of Sydney is one of the largest in Australia. It has more than 89 academic staff to supervise research and teaching 74 postgraduate students and 925 equivalent full-time student-load undergraduate students.

About you
The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate who has:

• a PhD (or near completion) in bioinformatics, data science, computer science, computational biology and equivalent combination of training and experience
• demonstrated ability to conduct research/scholarly activities under limited supervision
• the ability and a willingness to collaborate in multidisciplinary teams to contribute to long-term research goals
• a strong track record of publishing their research
• research strengths in state-of-the-art high dimensional analysis of complex data
• superior computer programming or software development skills in R or similar
• excellent communication (written and verbal), organisational and problem-solving skills with attention to detail
• a high level of interpersonal skills, including the ability to work collaboratively with colleagues
• a demonstrated ability to complete work in timely fashion and to write up results for publication.

Job website: https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Postdoctoral-Research-Associate-in-Statistical-Bioinformatics_0100807-2

Research Officer (Biomedical Image Analysis) @ VIC

Position title: Research Officer (Biomedical Image Analysis)

Employer: The Walter and Eliza Hall Institute of Medical Research

Closing date: 31/1/2023

Brief position description: Job Description

An exciting opportunity is available for a Research Officer to join the Bahlo Statistical Genetics Research Laboratory in the Population Health and Immunity Division at the Walter and Eliza Hall Institute of Medical Research.
The position will utilise large-scale MRI and DEXA image datasets (tens of thousands of images) to perform image segmentation to derive novel features which will be used as input for genetic analyses to determine genetic drivers of vertebral development.

Job website: https://wehi.wd3.myworkdayjobs.com/en-US/WEHI/details/Research-Officer--Biomedical-Image-Analysis---Bahlo-Lab_JR1533-1

Contact name: Melanie Bahlo

Contact email: bahlo@wehi.edu.au

Research Officer (Bioinformatics) @ VIC

Position title: Research Officer (Bioinformatics)

Employer: The Walter and Eliza Hall Institute of Medical Research

Closing date: 6 January 2023

Brief position description: Job Description

An excellent opportunity is available for a Research Officer (Bioinformatics) to join the Bioinformatics Division in a joint appointment with the Personalised Oncology Division at Australia’s pre-eminent biomedical research institute.

About the Position

The Phipson lab primarily develops statistical methods for analysing data from high throughput sequencing technologies, coupled with collaborative analysis projects with scientists within and external to WEHI. The role of the Research Officer is to work on statistical bioinformatics methods development and analysis from data generated from cutting-edge spatial technologies.

The Asselin-Labat lab studies the molecular and cellular alterations underpinning the formation and evolution of lung cancer. Experimental approaches include the analysis of genetically modified mouse models and human biopsy samples. We utilise spatial multi-omics approaches, flow cytometry, and microscopy to understand the role of the immune micro-environment on the onset and progression of non-small cell lung cancer.

The successful candidate will be expected to conduct bioinformatics analyses, to develop bioinformatics methodology as appropriate and to work closely with members of the Asselin-Labat and Phipson labs in a multi-disciplinary team. This role will be jointly supervised by A/Prof Marie-Liesse Asselin-Labat and Dr Belinda Phipson and will be physically based in the Bioinformatics Division.

Selection Criteria

The successful candidate will have a doctoral qualification or equivalent in a quantitative discipline such as statistics, mathematics, physics, computational biology or computer science. The candidate should have the ability to apply mathematical, statistical and computational principles to genomic problems. Experience with data analysis, programming and large datasets would be an advantage as would experience in R, Python, Unix and software development.

Desirable Knowledge and Skills: Prior experience in bioinformatics, image analysis and medical research would be an advantage but is not required.

Personal Qualities: The candidate will be expected to have excellent organizational and time management skills, and a high level of interpersonal skills. More general selection criteria are listed in the position description.

Terms of Appointment

This position is available for 2 years in a full-time capacity. Consideration will be given for suitable applicants looking for a part-time position. Salary is Academic Level A6 – A8 (AUD $93,415 – $100,270). Up to 17% superannuation and very attractive salary packaging options are available.

General enquiries can be directed to Dr Belinda Phipson (phipson.b@wehi.edu.au) or A/Prof Marie-Liesse Asselin-Labat (labat@wehi.edu.au ).

Apply: https://wehi.wd3.myworkdayjobs.com/en-US/WEHI/job/Research-Officer--Bioinformatics----Divisions-of-Personalised-Oncology-and-Bioinformatics_JR1376-1

Job website: https://wehi.wd3.myworkdayjobs.com/en-US/WEHI/job/Research-Officer--Bioinformatics----Divisions-of-Personalised-Oncology-and-Bioinformatics_JR1376-1

Contact name: Belinda Phipson

Contact email: phipson.b@wehi.edu.au