Research Assistant (R Software Developer) @ The University of Melbourne

Employer:  The University of Melbourne

Closing date: 09 Jun 2024 11:55 PM

Brief position description:  Job no: 0062641
Location: Parkville
Role type: Full-time; Fixed-term for 2 years
Faculty: Faculty of Science
Department/School: School of Mathematics and Statistics
Salary: Level A – $83,468 - $113,262 p.a. plus 17% super

About the Role
We are seeking an enthusiastic R Software Developer to maintain and extend the mixOmics R toolkit.

mixOmics is a toolkit that implements 19 multivariate methods for the exploration and integration of “omics” data spanning from transcriptomics (the study of all transcripts) to microbiome data (the study of all bacteria). Thirteen of these methods have been developed by Lê Cao lab members. mixOmics has been ranked top 5% package in Bioconductor repository in the past 5 years.

This role involves working closely with lab members to integrate new statistical methods into mixOmics 2.0, participating in collaborative data analyses, and teaching in mixOmics workshops. The successful candidate will also moderate the mixOmics discussion forum, engage with users, and contribute to the dissemination of the toolkit.

Opportunities for co-authorship in peer-reviewed publications are available.

Your responsibilities will include:

- Participate actively in the maintenance, and development of the mixOmics R package
- Maintain the mixOmics website, respond to queries from users on Github issues and the discussion forum and ensure a positive user experience
- Participate as a member of the research team
- Maintain research data to a high standard, particularly data analysis files and related programs/scripts.

Who We Are Looking For
You will have work experience in statistical and computer programming, particularly in R and coding R packages. You will bring excellent verbal and written communication skills, meticulous record-keeping, and high attention to detail essential for effective research collaboration and engagement.

You will also have:

- Bachelor or Masters degree in Computer Science, Bioinformatics, Computational statistics or equivalent
- Demonstrated statistical and computer programming experience in R and coding R packages
- Demonstrated experience in version control on Github
- Experience in analysing high-throughput biological data

For further information regarding responsibilities and requirements, please refer to the attached PD.

Your New Team – “Melbourne Integrative Genomics (MIG)"

https://sites.research.unimelb.edu.au/integrative-genomics

Melbourne Integrative Genomics (MIG) is a cross-disciplinary initiative at the interface between biology, mathematics and statistics at the University of Melbourne. 

MIG is a leading institution where we use innovative mathematical and computational approaches to answer pressing questions in biology and biomedicine. MIG, which was founded in 2017, fosters a vibrant environment for collaborative research and education. 

https://research.unimelb.edu.au/integrative-genomics

Le Cao lab is part of Melbourne Integrative Genomics (MIG), which has been established in 2017 and is an initiative to strengthen the involvement of statisticians in the advances being made in genomics and computational biology. MIG is an interdisciplinary research centre for the application of maths/stats/computing techniques to genomic profiling data to help understand genotype-to-phenotype process in humans and other organisms.

Join Us!
If you feel this role is right for you, please review the Position Description and apply via 
https://jobs.unimelb.edu.au/en/job/917181/research-assistant-r-software-developer

Job website:   http://jobs.unimelb.edu.au/en/job/917181/research-assistant-r-software-developer

Contact name: Anna Gradoboeva

Contact email:    hr-careers@unimelb.edu.au

DevOps Engineer @ Malaghan Institute of Medical Research

Employer:   Malaghan Institute of Medical Research

Closing date: 16 June 2024

Brief position description:  E te kaikimi mahi, tēnā koe,

A rare greenfield opportunity with great autonomy and exciting challenges to overcome!

We are looking for a DevOps engineer who will set up computing facilities that support ground-breaking medical research right here in Wellington.

The Malaghan Institute is New Zealand’s leading independent biomedical research institute, with a focus on breakthrough discoveries in immunology and immunotherapy. We have over 130 staff committed to finding cures for diseases using the body’s own immune system. Part of the Hugh Green Cytometry Centre, the newly established Data Science team (core facility) is tasked with supporting our scientists by developing data pipelines, statistical models, and applications to integrate and analyse their diverse data sets. Together with three data scientists you will form the core of the institute’s data science capability.

Our on-premises high-performance computing is how we deliver this mission. The servers run on Ubuntu, we currently run a lot or R scripts, but we are refocusing our stack around Python. We are also looking into complementing our platform by pushing some services to Cloud.

This is a full-time position for an initial fixed term of 12 months, working 40 hours per week, Monday to Friday 8:30am – 5:00pm, with some flexibility to work from home.

Ngā Pūkenga | Experience and Skills

Required

– Sysadmin: Know how to manage a Linux system, from basics (package installation, backup, smooth updates and managed downtime, user management) to more advanced topics (troubleshooting libraries, installing research software with guidance from staff).

– Docker pro: Design containerisation architecture for a common-use facility that needs to perform with high up-time.

– DevOps: Set up dev/prod environments to allow our scientists, coders, and analysts to try new tools without risking the integrity and infosec setup of our production environment.

– Service mindset: Support the data science platform we will build with users who will come to rely on it for their day-to-day work. You'll need some experience with support.

Advantageous

– Experience with on-site HPC.
– Code optimisation, e.g., refactoring, pushing to GPU, porting to low-level languages.
– Experience with macOS and translating to Ubuntu.
– Experience with Kubernetes.
– Experience with Cloud Engineering (any platform or provider).
– Research background—very much optional!

Ngā kawenga | Key Responsibilities

– Set up a DevOps environment (dev-prod-sandbox) on our local HPC.
– In collaboration with the head of data science, orchestrate the use of HPC for a large group of scientists pushing the frontiers of medical research.
– Help scientists and analysts deploy cutting-edge research software and applications on HPC.
– Manage installations of Linux applications in medical instrument control computers.
– Other work streams include training HPC users in shell, docker, and other HPC tools, establishing information security protocols, and assisting the head of data science with tech partnerships (e.g., network and storage systems providers).
– Because we are a charitable trust, one key challenge will be to find ways to deliver systems that are robust but easy to maintain at the lowest possible cost, and without a large supporting staff.

Ngā painga | Benefits

– Contribute directly to ground-breaking, life-saving medical research!
– A unique research environment: work with highly driven scientists and highly technical support staff.
– Lifelong learning culture with an associated L&D budget.
– Employee Assistance Programme – confidential, professional services which can support and guide you through your personal or work challenges.
– Great location on campus, lots of quiet space, short walk to cafes and shops in Te Aro, Aro Valley, or Kelburn. Have lunch in a collegial environment, hang out in your favourite spot, or take a walk to the Botanic Garden!
– Access to University life (e.g., lectures and panels) and facilities.
– Base salary starting from $88,000 depending on experience.

Here are some examples of the great work our teams do and how we are setting up for the future:

– In Focus: Shooting for the stars, propelling our research in the information age: https://smex-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=https%3a%2f%2fwww.malaghan.org.nz%2fnews%2dand%2dreports%2fnews%2fin%2dfocus%2dshooting%2dfor%2dthe%2dstars%2dpropelling%2dour%2dresearch%2din%2dthe%2dinformation%2dage%2f&umid=389c87dc-a9ef-4b31-b403-9773dbd32d1d&auth=6ee66d642a212b82964c9073f0dd934b55317413-173d7c11850679931e487a9b1bcd0922ba78cb24

– NZ invention to enhance safety of CAR T and other cell therapies: https://smex-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=https%3a%2f%2fwww.malaghan.org.nz%2fnews%2dand%2dreports%2fnews%2fnz%2dinvention%2dto%2denhance%2dsafety%2dof%2dcar%2dt%2dand%2dother%2dcell%2dtherapies%2f&umid=389c87dc-a9ef-4b31-b403-9773dbd32d1d&auth=6ee66d642a212b82964c9073f0dd934b55317413-a0a8d80a3c13a45658844a8e995cabbe0c4ca13e

– Vaccine alliance formed as collaborators establish national COVID-19 vaccine screening and development programme: https://smex-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=https%3a%2f%2fwww.malaghan.org.nz%2fnews%2dand%2dreports%2fnews%2fvaccine%2dalliance%2dformed%2das%2dcollaborators%2destablish%2dnational%2dcovid%2d19%2dvaccine%2dscreening%2dand%2ddevelopment%2dprogramme%2f&umid=389c87dc-a9ef-4b31-b403-9773dbd32d1d&auth=6ee66d642a212b82964c9073f0dd934b55317413-79b81e4a657607c11ab0524a8ccc59f1f8e6b925

The Malaghan Institute is also an equal opportunity employer, and values diversity alongside being committed to upholding Te Tiriti o Waitangi and Vision Mātauranga. We support Māori health advancement in partnership with Te Urungi Māori, the Institute’s Māori advisory group, we therefore welcome Māori applicants for this role. 

Me Pēhea te tuku tono | How to apply

If you share our passion for building cures, and think you’d be a valuable addition to this project, apply now by sending both your Cover Letter and CV. Applications close on 16 June 2024 for a start date as soon as possible. Interviews may be held immediately should the right candidates apply, so don’t wait, tone inaianei!

Applicants must have the legal right to work in New Zealand.

Job website:   http://www.seek.co.nz/malaghan-jobs?jobId=75951010

Contact name: Hercules Konstantopoulos

Contact email:    herculesk@malaghan.org.nz

Postdoc in statistical genetics and machine learning @ Carnegie Mellon University

Employer:   Carnegie Mellon University

Closing date: 31 October 2024

Brief position description:  Postdoctoral researcher
The Zhang Lab is seeking one postdoctoral researcher. The researcher will work with Dr. Martin Zhang on problems in statistical genetics and machine learning, involving algorithm design, software implementation, and studying problems in statistical and/or evolutionary genetics. The researcher will have the flexibility to choose their projects or propose new projects, broadly in line with the lab’s research directions (https://smex-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=https%3a%2f%2fmzhanglab.github.io%2fresearch%2f&umid=a3471db3-20da-4223-bcdc-e37d24ff92c6&auth=4d41e25c5d761d3d9b3f3fb6ac781e525dd700b4-34041fa35b88989f429d5880497b2e148e3648de). One research focus would be to use SNP-to-gene links (such as eQTLs or enhancer-gene links from single-cell multiome) to identify GWAS genes. Dr. Zhang will provide hands-on guidance in conducting research and writing papers, as well as ample opportunities for collaboration (within and outside CMU) and presenting research works. Dr. Zhang will support the researcher’s application for a Lane Fellow (https://cbd.cmu.edu/join-us/lane-fellow.html), a prestigious postdoctoral fellowship program in CMU computational biology.

Lab website: https://smex-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=https%3a%2f%2fmzhanglab.github.io&umid=a3471db3-20da-4223-bcdc-e37d24ff92c6&auth=4d41e25c5d761d3d9b3f3fb6ac781e525dd700b4-1482b014c259d4278795e90fb25fc473a99f0c11 

Qualifications:

1. Successful research experience as demonstrated by publications in peer-reviewed journals and conferences.
2. Strong skills in algorithm design, mathematical modeling, and programming (e.g., Python or R).
3. (Preferred but not required) Experience in analyzing genetics and genomics data, such as GWAS and scRNA-seq

Apply: please contact Dr. Martin Zhang via email with the title “Applying for a postdoctoral researcher position in Martin Zhang’s Lab” and include your CV, a short introduction, and your research interests. 

Job website:   http://apply.interfolio.com/145466

Contact name:  Martin Zhang

Contact email:   martinzh@andrew.cmu.edu

Senior Bioinformatician (Australian BioCommons) @ University of Sydney

Employer: Sydney Informatics Hub, University of Sydney

Closing date: 28 May 2024

Brief position description: 
The Sydney Informatics Hub (SIH) is looking for a senior bioinformatician to contribute to the Australian BioCommons mission to empower life scientists with digital infrastructure, providing expertise in bioinformatics software engineering, and training. Collaborating with University of Sydney researchers and our external partners, you'll develop open-source tools and services tailored to national priorities like precision medicine and environmental conservation. 

Reporting to the Bioinformatics Group Lead, your key responsibilities will be to:

  • collaborate within cross-functional teams across SIH, Uni of Sydney, and Australian BioCommons

  • utilise expertise in high-performance 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 team capabilities in software development and translational bioinformatics

  • cultivate an engineering ethos to support bioinformatics initiatives throughout Uni of Sydney

Bioinformatician (Research Officer) @ Baker Heart and Diabetes Institute

Employer:  Baker Heart and Diabetes Institute

Closing date: 20 May 2024

Brief position description: 
We are looking for a Bioinformatician. The successful candidate will be based at the Baker Institute in the Systems Genomics Lab (https://baker.edu.au/research/laboratories/systems-genomics) and supervised by Dr. Fumihiko Takeuchi. The primary responsibilities are (i) providing bioinformatics and/or biostatistics expertise for experimental and study design, data analyses and interpretation at the Institute, and (ii) conducting high-quality research in bioinformatics, genomics or computational biology. 

Job website:  : http://www.seek.com.au/job/75481032

Contact name:  Fumihiko Takeuchi

Contact email:  Fumihiko.Takeuchi@baker.edu.au

Solutions Architect Genomics Machine Learning @ CSIRO

Employer:  CSIRO

Closing date: 12 May 2024, 11:00pm AEST

Brief position description: 
Acknowledgement of Country
CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area that we live and work on across Australia. We acknowledge their continuing connection to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation

Child safety
CSIRO is committed to the safety and wellbeing of all children and young people involved in our activities and programs. View our Child Safe Policy.

The opportunity
Lead the technical development of the VariantSpark platform and clinical pathology applications
Use your cloud-based, high-performance computing & machine learning expertise to bring IT solutions to human health applications
Flexible work arrangements! Mix of home and office

Many of CSIRO's innovations were once considered impossible. Fast WiFi, Aerogard insect repellent and the plastic Australian banknote, to name a few. Until someone, just like you, joined us and took on the challenge. We’re recruiting inventors, innovators and change makers. Join Team CSIRO and help make the impossible possible.

CSIRO's AEHRC (The Australian e-Health Research Centre) is the leading national research facility applying information and communication technology to improve health services and clinical treatment for Australians. AEHRC is a world-wide unique trailblazer of advanced digital solutions and covers the full spectrum from basic science to mobile technologies and digital healthcare services that are applied in clinical practice.


The Solutions Architect Genomic Machine Learning will work with scientists from the high-performing Transformational Bioinformatics Team to develop novel digital services that join genomics and medical information to empower clinicians. The role will lead the technical development of the VariantSpark platform, as well as clinical pathology applications. Envisioned as a point-of-care solution, the technology needs to build on the latest in cloud services and cloud computing technology to deliver speed and accuracy on unprecedented data volumes. You will use your software engineering expertise and demonstrated knowledge in cloud-based distributed or high-performance computing as well as machine learning skills to help us bring advanced IT solutions to human health applications.


This position is advertised across two competency levels and the successful candidate will be appointed at the level commensurate with their skills and experience. More detail around the difference between the two levels is outlined in the position description.

Your duties will include:
In collaboration with scientists, design and implement innovative cloud architecture to carry out impactful research and cater for the challenges in the health and life science domain (fast turn-around-time and large volumes of data).
Implement ML solutions to biological research questions; Explore novel ML methodological approaches to research questions.
Be knowledgeable about cloud services across multiple vendors (specifically AWS, Azure, GCP). 
Prepare appropriate documentation through repositories (e.g. bitbucket), project boards (e.g. trello), online communities (e.g. gist) and contribute to reports, scientific papers, blog-posts and videos.


Higher level duties:
Develop novel ML algorithms, tailored for genomic problems.
Stay on top of newly released cloud services across multiple vendors (specifically AWS, Azure, GCP) and take ownership in applying them effectively to the scientific applications developed by the team.
Identify market-gaps and lead development of tailored solutions to commercial impact and be involved in grant applications.

Location: Sydney NSW preferred; Open to other major cities like Melbourne and Brisbane

Salary: *AU$93k - AU$119k plus up to 15.4% superannuation

Tenure: Specified term of 3 years / Full-time

Reference: 95944

* Applications are invited across two capability levels (CSOF4 & CSOF5) detailed in the position description for each of the levels and the successful candidate will be appointed at the level that commensurate with their skills and experience. 

To be considered you will need:
A bachelor’s degree (or will shortly satisfy the requirements of a bachelor’s degree) or equivalent relevant work experience in a relevant discipline area, such as Information Technology, Bioinformatics, Electrical Engineering, Data Science.
Evidence of experience with cloud-based distributed or high-performance computing (e.g. EMR, HDInsight, Dataproc) as well as more than one language relevant for cloud services (e.g. Python, NodeJS, Scala, BASH).
Proven impact from developing web services on more than one cloud vendor (e.g. AWS, GCP, Azure).
Experience and passion for designing and implementing machine learning solutions (SVM, RF, DeepLearning) and deep knowledge of statistics.

For appointment at the higher competence and salary level, additional skills and experience is required, as outlined in the position description.

Eligibility
Applications for this position are open to Australian/New Zealand Citizens and Australian Permanent Residents only. Appointment to this role is subject to provision of a national police check and may be subject to other security/medical/character requirements.

Flexible working arrangements
We work flexibly at CSIRO, offering a range of options for how, when and where you work. 

Diversity and inclusion
We are working hard to recruit people representing the diversity across our society, and ensure that all our people feel supported to do their best work and feel empowered to let their ideas flourish. 

About CSIRO
At CSIRO Australia's national science agency, we solve the greatest challenges through innovative science and technology. We put the safety and wellbeing of our people above all else and earn trust everywhere because we only deal in facts. We collaborate widely and generously and deliver solutions with real impact. 


CSIRO is committed to values-based leadership to inspire performance and unlock the potential of our people.

Join us and start creating tomorrow today!


How to apply
Please apply on-line and provide a cover letter and CV that best demonstrate your motivation and ability to meet the requirements of this role.

Applications close
12 May 2024, 11:00pm AEST.

Job website:   Solutions Architect Genomics Machine Learning (csiro.au)

Contact name:  Shree Chattopodhyay

Contact email:  careers.online@csiro.au

Post Doctoral Fellow @ University of Colorado Anschutz Medical Campus

Employer:  Dashnow Lab, University of Colorado Anschutz Medical Campus

Closing date: until filled

Brief position description: The Dashnow Lab in the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus is seeking a computational Postdoctoral Fellow with a background in human genomics, bioinformatics, computational biology, or related fields. Individuals from diverse backgrounds are strongly encouraged to apply.

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. 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.

The postdoc and PI will jointly envision projects tailored to the fellow’s skillset and long-term career goals. Postdocs will be expected to carry out computational research, analyze data, and disseminate their findings, software, and data to the biomedical community.

https://smex-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=https%3a%2f%2fdashnowlab.org&umid=28cb69d0-a8a6-4042-b4d4-d7d30eee1f41&auth=2af5473c4b03509246eb08bd803a6cf835f69953-f93247b12bc58ed03fb08aa321bae0cc1c4c28c8

Job website:   http://cu.taleo.net/careersection/2/jobdetail.ftl?job=33187&lang=en

Contact name:  Harriet Dashnow 

Contact email: harriet.dashnow@cuanschutz.edu

Postdoctoral Computational Biologist @ Melanoma Institute Australia

Employer:  Melanoma Institute Australia

Closing date: 26 April 2024

Brief position description: Melanoma Institute Australia (MIA) is a world-leading melanoma research non-profit organisation. Led by current joint Australians of the Year Professor Georgina Long AO and Professor Richard Scolyer AO, our mission is to reach zero deaths from melanoma this decade. The Melanoma Translational Research Group is a diverse team of researchers, located at the University of Sydney, that works alongside our MIA clinical oncology, surgical, pathology and biostatistics teams to investigate the biology of melanoma development, risk stratification and response to systemic therapies. The group is highly successful with major resources in human clinical tissue samples, including molecular and imaging data, spanning whole genome and increasing single cell sequencing datasets, transcriptomics, multiplex immunohistochemistry, and spatial biology.
MIA is seeking a driven postdoctoral computational biologist that will leverage the vast resources available for the discovery and validation of tools that improve diagnosis, prognosis, and treatment of melanoma patients. Through impactful translational research, the role will work alongside computational biologists, pathologists and clinicians to interrogate multi-omics datasets, imaging data and other resources available at MIA. 
Responsibilities: 
- To lead and contribute to a portfolio of projects with a focus on discovery and validation of diagnostic and prognostic tools.
- Use deep learning to analyze histopathological images of melanoma and related tumours.
- Conduct analyses and experimentation to answer scientific hypotheses.
- Refine data analysis pipeline in the multi-omics and imaging space for reproducible experimentation for various projects in the laboratory.
- Publish research in high impact journals and present at international conferences.
- Mentor and supervise students to develop bioinformatics talent with a focus on clinical significance.
- Attend clinical and collaborative research meetings to co-develop clinical questions and the possible implications of research findings.
- Comply with the Institute’s policy for handling information.

Key Selection Criteria 
To be successful in this role you will have:
Essential:
- A PhD in a relevant discipline such as Computational Biology, Machine learning or a closely related field. 
- A passion to understand the underlying molecular mechanisms that drive melanoma and other cancers.
- Experience processing and analysing multi-omics and/or imaging datasets. 
- Ability to use methods to easily convey complex data into visuals, such as multi-omics and image analyses (e.g. heatmaps/graphs) 
- Demonstrated skills in UNIX/Linux environments.
- Proven ability to execute jobs in high performance computing clusters environments e.g. via torque/slurm workload manager.
- Experienced in at least one programming language (preferably python). 
- Proven ability to work across diverse groups of staff within multidisciplinary teams.
- Excellent communication skills, both written and oral. 

Preferred:

- Experience in melanoma research, cancer research and biomarker development.
- Experience with analysis from omics data generated from formalin-fixed paraffin-embedded derived tissue samples.
- Experience with mIHC imaging and analysis techniques, e.g. HALO®, Phenocycler-Fusion®, QuPath
- Experience with machine learning techniques applied to image analysis.

Please apply by submitting your cover letter and resume to careers@melanoma.org.au. 
Addressing the selection criteria is mandatory and your application will not be considered if not answered.

Only applicants with full working rights within Australia should apply. Only successful applicants will be contacted. Please no recruitment agencies. This is a full-time role. We will consider applicants who apply by 26/04/2024.

We pay our respects to the Traditional Custodians of the lands on which Melanoma Institute Australia works, and their Elders both past and present, and acknowledge the deep, continuing connection of Aboriginal and Torres Strait Islander peoples to the land, waters, and sky.

Job website:   https://melanoma.org.au/

Contact name: Kylie Scott

Contact email: kylie.scott@melanoma.org.au

Postdoctoral Research Fellow (Level A or Level B) @ Monash University

Employer:  Monash University

Closing date: 14 April 2024

Brief position description: We are looking for a highly motivated postdoctoral scientist with advanced skills in computational biology. Additional laboratory-based skills in flow-cytometry are highly desirable (immunophenotyping and cell sorting). The successful applicant will undertake single and multi-omic analyses (Genetic, epigenetic, transcriptomic) of data derived from deeply phenotyped people with Multiple Sclerosis or related disorders.
This exciting position within the MS and Neuroimmunology Genomics and Prognostics team in the Department of Neuroscience, Monash University, will see you work with world leaders in MS prognostics and outcomes research.
Projects will be focussed on a number of different areas including:
• Precision medicine (pharmacogenomics)
• Prognostics
• Women’s Health

Applicants to this role should provide a covering letter outlining relative key skills and experience to assist us with our assessment.

Job website:   http://careers.pageuppeople.com/513/cw/en/job/663726/research-fellow-ms-and-neuroimmunology-genomics-and-prognostics-team

Contact name: Vilija Jokubaitis 

Contact email: vilija.jokubaitis@monash.edu

Genomics Senior Research Fellow @ Baker Heart and Diabetes Institute

Employer: Baker Heart and Diabetes Institute

Closing date:  8 April 2024

Brief position description: This postdoctoral post is a collaborative project with the Epigenetics in Human Health and Disease Team. This work focuses on characterizing the functional roles of regulatory proteins critical in gene transcription and examine the link to human disease using genetic, epigenomic and molecular approaches. The program is interested in understanding the transcriptional components in the regulation of metabolic memory and cardiac disease and further extend our understanding epigenetics in pre-clinical studies with a focus on cohort populations. This research will potentially provide tools for novel therapies. These key areas of therapeutic interest emphasising human studies have led to publications of high impact and international recognition.

This program is focused on the epigenetic analyses of prominent international cohorts. We have collected patient material to assess epigenomic indices using ChIP-seq, RNA-seq and Methyl-seq. The project aims to characterize the epigenetic landscape with the progression and development of disease. The aim of the work is to bridge the clinical and preclinical research in our department. 

Job website:   http://www.seek.com.au/job/74186574

Contact name: Sam El-Osta

Contact email: sam.el-osta@baker.edu.au