Bioinformatician, ACRF Genomics Facility @ SA

Position title: Bioinformatician, ACRF Genomics Facility

Employer: SA Health

Closing date: 11:55 pm Friday 17th March 2023

Brief position description: About the institution

The ACRF (Australian Cancer Research Foundation) Cancer Genomics Facility sits within SA Pathology and is part of the Centre for Cancer Biology (CCB), an alliance between SA Pathology and University of South Australia. The Facility develops and provides leading edge Genomics Services to researchers in the CCB and other organisations in South Australia and interstate, with a focus on innovation and translation of research to enable new diagnostic tests. The Facility also provides NATA-accredited services to SA Pathology, SA's public pathology provider, for both inheritable disease and cancer genetic testing. 

About the role
The primary objective of the Bioinformatician is to contribute to the delivery of high-throughput genetic testing technologies by implementing, developing and maintaining genome analysis solutions for research and diagnostic applications. The candidate will participate in research activities, including research publications and applications for funding, as appropriate.

Job website: http://www.seek.com.au/job/61376373?type=standout#sol=650921df61dcef6bf2cf6dda72de71ba2d46c6e7

Contact name: Rob King

Contact email: Rob.King@sa.gov.au

Research Officer/Post-doctoral Scientist - Computational Systems Biology @ NSW

Position title: Research Officer/Post-doctoral Scientist - Computational Systems Biology

Employer: Children's Medical Research Institute

Closing date: 22 March 2023

Brief position description: Position Summary
The Computational Systems Biology (CSB) lab at CMRI is welcoming applications for a Research Officer/Post-doctoral Scientist to conduct research in the broad area of computational systems biology of stem cells and organoid systems. Our research focuses on the acquisition of particular cell identity and cell fate decisions during cell differentiation, and to translate such knowledge for stem cell engineering and regenerative medicine. In collaboration with the Stem Cell Medicine lab at CMRI, the CSB lab has established experimental techniques including single-cell multi-omics and spatial transcriptomics, and mass spectrometry-based proteomics and phosphoproteomics to profile human and mouse embryonic/adult stem cells and various stem cell-derived organoids (e.g., eye organoids, brain organoids, and heart organoids). This appointment is at CMRI and will be affiliated with the Faculty of Medicine and Health at The University of Sydney. The appointee is expected to lead their own projects, contribute to internal or external collaborations, and when possible guide student research. The ability to work as part of a team is essential.

Position Compensation
Duration: Initially 2-year fixed term with potential for an 1-year extension (full time).
The candidate will be compensated with a competitive remuneration package in accordance with qualifications and experience. Additional benefits include the provision of a Public Benevolent Institution salary packaging scheme and participation in an employer-contributed superannuation fund.

Essential Characteristics
The appointee will be an ambitious post-doctoral scientist with a bold and creative approach to research. They will be capable of independent thought and project design, and will be able to work in a collaborative team setting. Exceptional candidates will be eligible for an internal CMRI post-doctoral fellowship, and the possibilities provided by this unique funding opportunity. The following characteristics and research experience are essential to this position.

• A PhD in computational biology, bioinformatics, applied statistics, computer science, systems biology and molecular biology or another closely related scientific discipline. Candidates in the final stages of PhD submission are welcome to apply.
• High proficiency with at least one programming language (e.g., R, Python).
• Demonstrated experience with data analytics in omics data analysis.
• Proven ability and commitment to produce high quality work, including track record of scientific publication.
• Proven research ability, and evidence of self-motivation and research potential.
• Proven excellence in written and oral communications, interacting with a variety of researchers and stakeholders.

Desirable Characteristics
• Knowledge of stem cells and molecular cell biology.
• Experience with deep learning.

Computational Systems Biology Lab
The CSB lab (https://pyanglab.github.io/) combines computational (‘dry’) and experimental (‘wet’) expertise to study cell identity and cell fate decisions of stem cells and organoids systems. The lab resides in CMRI, Westmead, while also holding office space both at the School of Mathematics and Statistics, and the Charles Perkins Centre, The University of Sydney. The CSB lab collaborates closely with other lab at CMRI (e.g., Stem Cell Medicine, Embryology) and is part of the Sydney Precision Bioinformatics Alliance and Sydney Precision Data Science Centre, The University of Sydney. The appointee will have ample opportunity to collaborate with bioinformaticians, statisticians, computational and systems biologists, and stem cells and developmental biologists within CMRI and from The University of Sydney.
Current focus of the CSB lab is on using computational approaches and bulk and single-cell multi-omics data to characterise cell identity and predict cell fate decisions for stem cell differentiation and organoid generation. The lab is currently supported by an NHMRC Investigator grant and two MRFF Stem Cell Therapies Mission grants. Most significant publications of the lab in the last five years appears in Cell Press and Nature Portfolio (http://pyanglab.github.io/publications.html) For more information please visit https://pyanglab.github.io/.

Application
Applications should include a cover letter (citing PV2250), curriculum vitae and contact details (phone/email) of three professional referees and be forwarded to recruitment@cmri.org.au.

Closing date for applications is (22 March 2023).

Please direct enquiries regarding the position to Associate Professor Pengyi Yang, NHMRC Investigator, pengyi.yang@sydney.edu.au.

Job website: https://www.seek.com.au/job/61377482

Contact name: Pengyi Yang

Contact email: pengyi.yang@sydney.edu.au

Research Fellow in Human Epigenetics (Bioinformatics) @ VIC

Position title: Research Fellow in Human Epigenetics (Bioinformatics)

Employer: Monash University

Closing date: 22 Feb 2023

Brief position description: Job No.: 646402

We are seeking someone with a doctoral qualification in the relevant discipline area or equivalent qualifications or research experience in Bioinformatics, Computer Science, Biological Sciences, Mathematics, Biostatistics or related fields. This position will require the appointee to have a track record and demonstrated experience in handling large epigenomic datasets that include but are not limited to DNA methylation sequencing.

Location: The Alfred Centre

Employment Type: Full-time

Duration: 2-year fixed-term appointment

Job website: http://www.seek.com.au/job/59851791

Contact name: Sam El-Osta

Contact email: sam.el-osta@monash.edu

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