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

Research Assistant / Research Associate / Research Fellow @ SA

Position title: Research Assistant / Research Associate / Research Fellow

Employer: University of South Australia

Closing date: Sunday 29 January 2023

Brief position description: Research Level ARA / ARAS

The Research Assistant / Research Associate will contribute to bioinformatics support for the neuroblastoma-related MRFF-funded projects carried out by the Cell Signalling Laboratory, Neurovascular Research Laboratory and Gene Regulation Section of the Centre for Cancer Biology (CCB), the Tissue Architecture and Organ Function Laboratory and other CCB projects as appropriate. 

Research Level BRF

The Research Fellow will implement and conduct high quality bioinformatics research and report on research outcomes in line with research goals and milestones of the Centre for Cancer Biology, facilitating collaboration and translation of research findings.

Job website: https://workingatunisa.nga.net.au/cp/index.cfm?event=jobs.checkJobDetailsNewApplication&returnToEvent=jobs.listJobs&jobid=77A7B78C-739A-C7BE-A6AF-C91D691D0740&CurATC=External&CurBID=62AFB35D%2D9273%2D4A11%2D8DCC%2D9DB401354197&JobListID=22fc4f47%2De994%2D46a3%2Db8c9%2D9bc901269f43&jobsListKey=5c05790e%2D290f%2D4eca%2D80ca%2D1fa17944a724&persistVariables=CurATC,CurBID,JobListID,jobsListKey,JobID&lid=37083460088

Contact name: Greg Goodall

Contact email: greg.goodall@unisa.edu.au

Software Engineer / Bioinformatician

Position title: Software Engineer / Bioinformatician

Employer: Microba Life Sciences

Closing date: Until Filled

Brief position description: Software engineer / production bioinformatician required for world-leading Brisbane-based microbiome company.

Microba’s vision is to improve human health with precision microbiome science. We are an awarded early/mid-stage Brisbane-based microbiome company. Microba offers services to consumers, health care practitioners, clinicians, academic and corporate clients. We conduct our own internal research programs and have microbiome derived therapeutic assets in preclinical development. Microba operate a multi-purpose laboratory with high throughput DNA sequencing and bacterial culturing capacity, a fully cloud-based scalable bioinformatics platform, advanced AI/ML analytics, purpose-built system logistics and process automation. We are a diverse multidisciplinary team motived by challenging problems at the forefront of microbiome science, genomics, product development and drug discovery. Microba is principled in scientific rigour and follows good scientific, engineering and quality processes.

We are seeking an enthusiastic and talented software engineer / production bioinformatician. You will be responsible for development, operation and maintenance of our bioinformatics platform. This includes all stages of the agile software development lifecycle as well as operation of the platform to deliver data and results across a wide range of commercial and clinical products within defined turn-around times. This role can be tailored to your skills and experience. The role is 2/3 software engineering and 1/3 production bioinformatics. This is a rare opportunity to apply your skills to an innovative platform that is delivering genomics-based technologies.

Skills and Qualifications
1. Highly motivated, excellent communicator and team player
2. High attention to detail and perseverance to solve problems
3. Intermediate to advanced software engineering skills in Python and/or Java
4. Intermediate to advanced unit-testing experience
5. Intermediate to advanced Linux skills (shell)
6. Basic to intermediate expertise with cloud (GCP/AWS)
7. Good understanding of Docker and containerized applications (i.e. Kubernetes)
8. Experience with API development using Java / Spring boot a bonus
9. Basic to advanced bioinformatics (genome informatics) experience
10. Understanding of core molecular biology concepts within microbial genomics and microbial ecology a bonus

Key activities/duties
1. Scope and design data processing and automation software
2. Develop new software, ensuring extensive unit-test coverage
3. Follow coding conventions and version-control practices
4. Implement new features/bug fixes to existing software
5. Participate in code reviews for other team members
6. Operate the bioinformatics platform within a small team to process metagenomics and other genomic data into results for reporting and product services and delivery (bioinformatics production / services)
7. Productionise scientific / bioinformatics software into workflows
8. Participate in stand-ups, scoping, planning and refining sessions
9. Identify and implement improvements, both software and bioinformatic related

Microba values diversity, inclusion, our team culture, professional and personal development, and our company vision. We promote a fast-paced, fun, and productive culture, the team enjoys working hard to achieve our ambitious goals and celebrating our wins. Some perks of working for Microba include:
• Work from home policy for two days a week, if desired
• Weekly PT and pilates sessions, if desired
• Regular complimentary gut microbiome testing, if desired
• All you can drink kombucha, fresh fruit etc in the office
• Participation in the Microba Employee Share Scheme

This is a full-time position commencing immediately and will remain open until filled. Please reach out to David Wood to discuss further.

Job website: http://microba.com/

Contact name: David Wood

Contact email: david.wood@microba.com

Senior Software Engineer

Position title: Senior Software Engineer

Employer: Centre for Population Genomics

Closing date: Until filled

Brief position description: The Centre for Population Genomics is looking for a Senior Software Engineer. You will be responsible for leading the production workflows group within the software team, focussing on designing and implementing large scale genomic analysis methods (using and extending frameworks like Hail) that feed into web-based tools (like the gnomAD browser or seqr) for providing intuitive access to complex scientific datasets.

This role will be a part of a small, high-energy software engineering team that will work in close collaboration with the Centre’s genomic analysis teams. You will lead the group that develops the workflow framework and infrastructure that’s used continuously by the Centre’s core pipelines used for large cohort and rare disease analysis, iterating with the computational biologists and population geneticists in the analysis teams on the productionization of their analysis methods.

All software developed by the Centre will be open-source and designed using best practices to ensure widespread use by the wider scientific community, and rapid translation into impact on human biology and medicine. You will work in an environment that combines the intellectual freedom and collaboration of academia with rigorous, open software development practices. To make sure our solutions prove useful for the wider genomics community, we’ll be working closely with partners like the Broad Institute.

The role comes with a competitive base salary, salary packaging benefits, and full flexibility to work remotely. This is a four-year full-time role with high possibility to extend.

Job website: http://populationgenomics.org.au/careers

Contact name: Leonhard Gruenschloss

Contact email: careers@populationgenomics.org.au

Centre for Population Genomics

Position title: Computational Biologist (Population Analysis)

Employer: Centre for Population Genomics

Closing date: Until filled

Brief position description: We are seeking a Computational Biologist to process and analyse large-scale population genomic datasets using cloud-based pipelines. You will be part of a team responsible for aggregating public resources with data generated through new sequencing projects to create a novel resource for human genetics that reflects the remarkable population diversity of Australia. Initially this role will involve contributing to the development of cloud-based analysis pipelines for performing tasks such as variant calling, quality control and ancestry inference, and then using these pipelines to build a gnomAD-like resource.

Job website: http://populationgenomics.org.au/careers

Contact name: Katie de Lange

Contact email: careers@populationgenomics.org.au