Bioinformatics Research Officer @ Computational Sciences Initiative, Doherty Institute, The University of Melbourne

Employer : Computational Sciences Initiative, Doherty Institute, The University of Melbourne

Closing date:   20/12/2024

Brief position description:  

The Computational Sciences Initiative (CSI) at the Doherty Institute is recruiting a Bioinformatics Research Officer. This role will conduct bioinformatics analyses on projects in the areas of immunology and infectious diseases for a new Bonn-Cumming Program at the Institute, which seeks to develop novel innate immunity therapeutics. 

Responsibilities include:
- Using best-practice pipelines for analysis of multi-omic data generated by collaborators. This includes: integration of high-dimensional data sets, best-practice programming practices, establishment of code-review activities, and appropriate version control.
- Assisting the development of a strong program of collaborative research in bioinformatics with Bonn-Cumming researchers in the Doherty Institute.
- Developing new methods and software packages for analysis of different mutli-omic sequence-based or other high dimensional analyte data where appropriate.
- Assisting other researchers in carrying out experiments to work as a team and further the department’s research output.

Please see the below link for more information.

Please contact Jan Schroeder with further queries: jan.schroeder@unimelb.edu.au

Job website:  http://jobs.unimelb.edu.au/caw/en/job/918956/research-officer-bioinformatician

Contact name: Jan Schroeder

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

Director, Bioinformatics & AI @ CSL

Employer : CSL

Closing date:   17/12/2024

Brief position description:  

Your Role 

In the role of Director, Bioinformatics & AI you will lead a team focused on the method development and application of computational approaches for addressing scientific questions in pre-clinical research and translational medicine; focusing on genetics, omics, imaging, biomedical literature, and RWD data modalities. As a member of the biomedical Data Science Leadership Team, you will help shape the direction of the global data science team and its role within the broader CSL R&D ecosystem.

Your Responsibilities

Reporting to the Senior Director, Global Head of Data Science you will:

Be accountable for activities focused on development and application of computational methods for enabling research biology and translational medicine activities
Support and implement a robust and inclusive recruitment and talent development strategy to attract talent, and provide scientific and career development mentorship
Work across Global Research organisation with therapeutic area leads, project managers and scientific coordinators to enable seamless and impactful integration of computational scientists across the project portfolio landscape
Drive partnerships between your team and Data Management and Engineering and Biostatistics teams.
Work to develop overall competency of direct reports and data literacy amongst scientists at CSL, encouraging learning and development opportunities
Maintain and build CSL’s research profile within industry contacts and networks
Ensure your team is globally visible across CSL, including publication in high-impact scientific journals and participation in international conferences
Actively foster an inclusive, ethical, and diverse team culture

Your Experience

A PhD and 8+ years of experience in a relevant scientific discipline and drug development
Recognition as a world-leading scientist in your area of work, excellent publication record and participation in international meetings and conferences. Membership of relevant scientific bodies.
Demonstrated leadership skills, and a track record of developing early & mid-career scientists
Experience of working in an interdisciplinary research environment and a track record of partnering and building successful relationships within and between organisations/institutes
Excellent oral and written communication skills
Experience in managing large and complex projects and teams, involving multiple stakeholders and achieving results in a timely and resource efficient manner 

Job website:  http://lnkd.in/gX3ksQkQ

Contact name: Milica Ng

Contact email: milica.ng@csl.com.au

Computational Data Scientist @ Melanoma Institute Australia

Employer : Melanoma Institute Australia

Closing date:   11/12/2024

Brief position description:  

Melanoma Institute Australia (MIA) is an independent, non-profit organisation with its head office located near North Sydney. MIA is affiliated with the University of Sydney and is 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 Personalised Immunotherapy Program (PIP) is a 5-year program which applies machine learning- based models to identify patients with cancer that is likely to be unresponsive to anti-cancer immunotherapies. PIP aims to ensure each patient’s cancer is screened for genetic, transcriptomic, and immune profiles to identify patients unlikely to benefit from standard therapies. The team has a wealth of multi-omics datasets and is currently deploying predictive models into oncology clinicals in real-time.

The PIP team is seeking a full time experienced Computational Data Scientist with a strong analytical background to leverage the vast resources available to monitor and improve the accuracy of melanoma diagnosis, prognosis, and suitability of anti-cancer therapies. The position entails deploying machine learning models to identify patient responses to therapies using clinical and multi-omics data sets and overseeing the long-term accuracy of the predictive models. The candidate will also build on these models with new approaches and additional information from novel technologies to improve patient selection for systemic therapies.

The data scientist will be responsible for the implementation of predictive models into a biomarker program within oncology clinics. The role will work alongside multiple clinical and research teams to interrogate multi-omics datasets, imaging data and other resources available at MIA. This role will require the candidate to have excellent computational skills, preferred experience in the cancer setting, and a passion to improve cancer patient outcomes.

The successful candidate will be part of the PIP team that resides within the Translational Research Laboratory of the Melanoma Institute Australia, based at The University of Sydney Camperdown campus. This is a fixed term position until December 2026 with view to a permanent role upon completion of fixed term contract. Applications that do not address the selection criteria will not be processed.


Key Selection Criteria

To be successful in this role you will have:

PhD in data science, computational biology or related field
Demonstrated skills in computer languages (eg –Python, R)
Experience in processing and analysing multi-omics and/or imaging datasets.
Experience in deploying machine learning models
Scientific track record in developing machine learning models
Experience in the clinical integration of multi-omics datasets
Knowledge in deploying predictive models in the clinical setting
Excellent project management skills with the ability to multitask.
Preferred working knowledge of cancer biology and/or immunology
Preferred interest in spatial biology and emerging technologies.

Job website:  https://www.seek.com.au/Melanoma-Institute-Australia-jobs?jobId=80431713&type=standout

Contact name: James Wilmott

Contact email:  james.wilmott@sydney.edu.au

Computational Data Scientist @ Melanoma Institute Australia

Employer : Melanoma Institute Australia

Closing date:   24/12/2024

Brief position description:  

The Personalised Immunotherapy Program (PIP) is a 5-year program which applies machine learning- based models to identify patients with cancer that is likely to be unresponsive to anti-cancer immunotherapies. PIP aims to ensure each patient’s cancer is screened for genetic, transcriptomic, and immune profiles to identify patients unlikely to benefit from standard therapies. The team has a wealth of multi-omics datasets and is currently deploying predictive models into oncology clinicals in real-time.

The PIP team is seeking a full time experienced Computational Data Scientist with a strong analytical background to leverage the vast resources available to monitor and improve the accuracy of melanoma diagnosis, prognosis, and suitability of anti-cancer therapies. The position entails deploying machine learning models to identify patient responses to therapies using clinical and multi-omics data sets and overseeing the long-term accuracy of the predictive models. The candidate will also build on these models with new approaches and additional information from novel technologies to improve patient selection for systemic therapies.

The data scientist will be responsible for the implementation of predictive models into a biomarker program within oncology clinics. The role will work alongside multiple clinical and research teams to interrogate multi-omics datasets, imaging data and other resources available at MIA. This role will require the candidate to have excellent computational skills, preferred experience in the cancer setting, and a passion to improve cancer patient outcomes.

The successful candidate will be part of the PIP team that resides within the Translational Research Laboratory of the Melanoma Institute Australia, based at The University of Sydney Camperdown campus. 

Key Selection Criteria
To be successful in this role you will have:
- PhD in data science, computational biology or related field
- Demonstrated skills in computer languages (eg –Python, R)
- Experience in processing and analysing multi-omics and/or imaging datasets.
- Experience in deploying machine learning models
- Scientific track record in developing machine learning models
- Experience in the clinical integration of multi-omics datasets
- Knowledge in deploying predictive models in the clinical setting
- Excellent project management skills with the ability to multitask.
- Preferred working knowledge of cancer biology and/or immunology
- Preferred interest in spatial biology and emerging technologies.

This is a fixed term position until December 2026 with view to a permanent role upon completion of fixed term contract.

Job website:   http://www.seek.com.au/job/80431713?tracking=SHR-WEB-SharedJob-anz-1

Contact name: Ann Michelle Arrabaca

Contact email: Careers@melanoma.org.au

Senior Bioinformatician (Australian BioCommons) @ Sydney Informatics Hub, University of Sydney

Employer : Sydney Informatics Hub, University of Sydney

Closing date:   4/12/2024

Brief position description:  

The Sydney Informatics Hub (SIH) is looking for a senior bioinformatician to join our growing partnership with Australian BioCommons. We’re working with Australian BioCommons to empower life scientists with digital infrastructure, providing expertise in bioinformatics, software engineering, and training. We collaborate with University of Sydney researchers and our external partners to develop open-source tools and services for national priorities like precision medicine, environmental conservation, and agriculture. 

Your key responsibilities will be to:
• collaborate within cross-functional teams across SIH, Uni of Sydney, national supercomputing facilities, and Australian BioCommons
• apply your expertise in high-performance computing, cloud computing, and bioinformatics to design and implement impactful solutions
• lead bioinformatics analyses, data engineering, and software projects
• develop and deliver training events for the National Bioinformatics Training Cooperative
• strengthen our team capabilities in software development and translational bioinformatics
• cultivate an engineering and entrepreneurial ethos to support bioinformatics initiatives throughout Uni of Sydney and nationally

Job website:  http://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Newtown/Senior-Bioinformatician_0126133-2

Contact name: Georgie Samaha

Contact email: georgina.samaha@sydney.edu.au

Genomics Software Developer (Data Scientist) or Genomics Data Analyst (Information Sciences Professional) @ Dashnow Lab, University of Colorado Anschutz Medical Campus

Employer : Dashnow Lab, University of Colorado Anschutz Medical Campus

Closing date:   13/11/2024  (midnight US Mountain time)

Brief position description:  

Join a department with views of the Rocky Mountains! Relocation and visa support are available.

The Dashnow Lab in the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus is seeking a Data Scientist or Information Sciences Professional with a background in computer science, data science, human genomics, bioinformatics, computational biology, statistics, or related fields. This role can also be described as a scientific software developer, staff scientist, data analyst or computational research assistant. Individuals from diverse or non-traditional backgrounds are strongly encouraged to apply, including those transitioning fields.

The Dashnow Lab develops computational genomics methods to understand the genetic underpinnings of rare diseases and increase diagnoses. We have particular expertise in difficult-to-genotype repetitive regions such as tandem repeats. We develop and apply these methods at scale to current and emerging DNA sequencing technologies. Our research directly impacts individuals with rare diseases and their families, giving them answers and hope for treatment after a long diagnostic odyssey. The lab has strong national and international collaborations, including with large, rare disease and population consortiums and with industry. Current project funding supports new approaches for diagnosis and gene discovery for short tandem repeat diseases, computational methods development for both short and long-read sequencing technologies, and population genetics.

Two positions are posted. Please apply to the position that best matches your qualifications and experience.
Genomics Software Developer (Data Scientist) https://cu.taleo.net/careersection/2/jobdetail.ftl?job=35396&lang=en
Genomics Data Analyst (Information Sciences Professional) https://cu.taleo.net/careersection/2/jobdetail.ftl?job=35393&lang=en

Job website: https://smex-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=http%3a%2f%2fwww.dashnowlab.org&umid=c88e1401-02dc-4bee-82fd-d742c938311b&auth=6ee66d642a212b82964c9073f0dd934b55317413-83cf852d02e3a15b164ff0742509c6d21eddca1e

Contact name: Harriet Dashnow

Contact email: harriet.dashnow@cuanschutz.edu

Clinical Microbiologist (Pathogen Genomics) @ Microba

Employer : Microba

Closing date:   31/12/2024

Brief position description:  

Position Title: Clinical Microbiologist (Pathogen Genomics)
Location: Brisbane, Queensland, Australia
Status: Permanent Full Time

Join Microba’s Bioinformatics team and lead innovations in infectious disease diagnostics! This role focuses on driving metagenomic-based infectious disease diagnostic testing for healthcare partners, collaborating with cross-functional teams to deliver novel and impactful health outcomes to patients.

Key Responsibilities
Lead research and integration of pathogen and AMR targets into our ISO15189 accredited tests
Oversee test delivery, support test accuracy, and support report clinical and scientific interpretation
Engage with stakeholders to advance test adoption and communicate performance insights

Skills & Experience
PhD in Clinical Microbial Genomics or similar, with 4+ years of post-doctoral/clinical research
Strong knowledge in microbial pathogenicity, antimicrobial resistance, and bioinformatics..

Job website: https://smex-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=https%3a%2f%2fjobs.swagapp.com%2fjobs%2fmicroba%2dclinical%2dmicrobiologist%2dpathogen%2dgenomics&umid=ee045f3e-bc07-4464-966d-f706f949ec11&auth=6ee66d642a212b82964c9073f0dd934b55317413-551d9ed92b2ce0070729b51db714d7d573331733

Contact name:   Jenni Levingston

Contact email: peopleandculture@microba.com

Associate Research Fellow / Research Fellow, Bioinformatician @ Deakin University

Employer : Deakin University

Closing date:   27/10/2024

Brief position description:  The Institute for Mental and Physical Health and Clinical Translation (IMPACT) in Deakin’s School of Medicine is seeking a Level A or B Research Fellow to initiate, design, and conduct productive, high-quality research, scholarship and creative activities to generate high-impact outputs.

Job website:  https://careers.deakin.edu.au/en/job/563960/associate-research-fellow-research-fellow-bioinformatician

Contact name:   Jess Fulmer

Contact email: j.fulmer@deakin.edu.au

Research Associate / Senior Research Fellow (Data Hub Statistician) @ University of Sydney

Employer:  University of Sydney

Closing date:   17/11/2024

Brief position description:  We are currently seeking to appoint two research focused roles to work in the Data Hub at the Charles Perkins Centre. The Research Associate / Senior Research Fellow (Data Hub Statistician) roles will be integral to establishment of the Data Hub, a new initiative of the Charles Perkins Centre to increase capacity in data-intensive research using large biobank repositories with direct translational impact in biomedical and metabolomics health research. The Data Hub will enable context-specific data analysis on collaborative projects. 

Job website:  https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown-Campus/Research-Associate---Senior-Research-Fellow--Data-Hub-Statistician-_0121470-1

Contact name:   Simon Drew

Contact email: recruitment.sea@sydney.edu.au

Bioinformatics Software Engineer @ The University of Melbourne

Employer: : Department of Clinical Pathology, The University of Melbourne

Closing date:   31/10/2024 11:55 PM AUS Eastern Daylight Time

Brief position description:  Provide bioinformatics support for the development of innovative diagnostic methods using next-generation sequencing to analyse cell-free DNA in cancer patients, contributing to translational cancer genomics research.
- Be part of a cutting-edge research team working on liquid biopsy diagnostics for rare cancers, with opportunities to collaborate with world-leading institutions like the Peter MacCallum Cancer Centre and genomics giant Illumina, contributing to breakthrough innovations in healthcare.
- Salary packaging, subsidised health and wellbeing services, fitness and cultural clubs, Myki discounts, and a 25% discount on graduate courses to our staff and their immediate families!

About the Role
The bioinformatics software engineer will support a translational research project focused on developing a novel diagnostic method for analysing cell-free DNA in cancer patients.

Based in the Rare Disease Oncogenomics (RADIO) Laboratory, the role involves working with next-generation sequencing data to develop a liquid biopsy test for cancers of unknown primary, as well as contributing to innovative genomics projects with international partners like Illumina. 

Your responsibilities will include:

Contribute to the collection and analysis of genomics data from next-generation sequencing technologies, and design and manage databases for complex biological datasets.
Develop and maintain a web-based portal for data visualisation, integrate new algorithms into existing workflows, and ensure code quality and documentation for reproducibility.
Participate in training and conferences, and support research efforts by collating results for presentation and publication.
Who We Are Looking For
You will have demonstrated experience in software development, with proficiency in Python and R, and a strong understanding of database management and bioinformatics pipelines for high-throughput sequencing.

Your attention to detail, organisational & communication skills, and ability to collaborate effectively with interdisciplinary teams are key, as is your capacity to work independently while following project directions.

You are motivated to learn new bioinformatics techniques and technologies, with excellent communication skills to ensure reliable data management and timely project delivery.

You will also have:

Bachelor of Science or Engineering, Computer Science, or a related field.
Proven ability to develop, maintain, and optimise bioinformatics pipelines.
Experience in developing web-based tools or applications for data analysis and visualisation.
Unrestricted right to live and work in Australia.
For further information regarding responsibilities and requirements, please refer to the attached PD.

This role requires that the successful candidate must undergo and maintain an up-to-date Working with Children Check. This is essential to guarantee a secure environment for all individuals at the University. In the case the selected candidate doesn't have a valid Working with Children Check, they will be able to apply for the WWCC as part of the initial onboarding procedures.

Please note: Visa sponsorship is not available for this position. This role requires current valid work rights for Australia.

Your New Team – The Department of Clinical Pathology
The Department of Clinical Pathology at the University of Melbourne focuses on graduate education, research, and engagement in pathology, primarily located in the advanced Victorian Comprehensive Cancer Centre. It collaborates extensively with various departments and research institutes to enhance cancer outcomes, particularly by studying the molecular defects of tumours and their implications for treatment. In addition to its cancer research, the Department also contributes to broader areas of clinical pathology education, teaching in the Doctor of Medicine program and supporting a vibrant community of Honours, Masters, and PhD students.

What We Offer You!
In addition, we offer the opportunity to be part of a vibrant community and enjoy a range of benefits, including generous leave provisions, salary packaging, health and well-being services and discounts on graduate courses. For more information, check out our benefits page!

About the University of Melbourne
We’re tightly connected with the community, both at home and abroad. We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website and stay connected with our stories and people on LinkedIn. 

Be Yourself
The University of Melbourne values the unique backgrounds, experiences and contributions that each person brings to our community and welcomes and celebrates diversity. First Nations people, those identifying as LGBTQIA+, parents, carers, people of all ages, abilities and genders, and people of diverse ethnicity, nationality and faith are encouraged to apply. Our aim is to create a workforce that reflects the diversity of the community in which we live. For more information please visit our Diversity and Inclusion page.

We are dedicated to ensuring barrier free and inclusive practices to recruit the most talented candidates. If you require reasonable adjustments, please contact the employee listed on the first page of the Position Description found below, with an email containing your name and contact details for a confidential discussion. Please ensure your email is titled "Reasonable Adjustments Request".

Aboriginal and Torres Strait Islander Applicants
We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne.

For further information, including our 2023-2027 Indigenous strategy please visit -https://about.unimelb.edu.au/reconciliation/murmuk-djerring

Join Us!
If you feel this role is right for you, please apply with the following documents: 

Resume
Cover Letter outlining your interest and experience
The responses against the Selection Criteria^ (found in the Position Description, the selection criteria will be asked during your application, there is no need to upload a separate document)
^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria

Please ensure that you apply through the Apply Now button at the bottom of the job website page. 

If you have any particular questions regarding the job please follow the details listed on the Position Description downloadable in the job website page.

Job website:  http://jobs.unimelb.edu.au/caw/en/job/918630?lApplicationSubSourceID=

Contact name:   Richard Tothill

Contact email: rtothill@unimelb.edu.au