Bioinformatician @ QLD

Position title: Bioinformatician

Employer: QIMR Berghofer Medical Research Institute

Closing date: 12 June 2023

Brief position description: The Molecular Oncology team uses bioinformatic and machine learning approaches to analyse cancer molecular profiling data, including genomic, transcriptomic and DNA methylation data, to link it with treatment responses and patient outcomes. The research spans multiple solid cancer types, including ovarian, endometrial and lung cancers.

Role Purpose / Responsibilities
Applications are invited for a bioinformatician to join the Molecular Oncology team led by Olga Kondrashova. The exciting position involves analysis of a variety of next-generation sequencing data using existing and newly developed pipelines in lung, endometrial and ovarian cancers. The research is centred around linking tumour molecular profiles with patient treatment responses, improving understanding of drug resistance and identification of novel treatment strategies through analysis of pre-clinical models. The role involves utilising and developing bioinformatic approaches to analyse data, such as whole-exome and whole-genome sequencing, RNA-sequencing and CRISPR screen sequencing. This position will involve working independently and alongside other bioinformaticians in the Molecular Oncology and collaborators. 

The following duties will apply:
•Bioinformatic analysis of next-generation sequencing data
•Research and implementation of appropriate analysis methodology
•Development of custom analysis pipelines
•Presentation of results in internal and external meetings
•Contribution to scientific publications
•Ensure work practices comply with the requirements of the Work Health and Safety Act, related legislative requirements and the Institute's WH&S policies and procedures. 

About you
The role calls for an experienced and enthusiastic bioinformatician with the following skills:
•Masters or PhD in computational biology/bioinformatics with demonstrated experience
•Experience in genomics and next-generation sequencing data analysis
•Strong experience using the Linux/Unix Operating System
•Proficiency in R and/or Python
•Willingness and ability to learn new technical skills
•Ability to work independently
•Interest in cancer research and a desire to further a career in science
•Experience in machine learning is beneficial

Remuneration: Salary range is $82,369 to $95,329 p.a. depending on experience, plus super and salary packaging. This is a two-year, full-time appointment with possible extension.

Job website: https://www.seek.com.au/job/67631404

Contact name: Olga Kondrashova

Contact email: olga.kondrashova@qimrberghofer.edu.au

Statistical geneticist / Bioinformatician

Position title: Statistical geneticist / Bioinformatician

Employer: Seonix Bio

Closing date: 30/6/2023

Brief position description: Seonix Bio is a fast growing clinical genetics company developing polygenic risk score products and services, initially for eye health. Our first offering is a polygenic risk score for glaucoma that helps clinicians save sight by enabling earlier diagnosis and treatment of those at risk. This will be launched as a clinical service in 2023. Our technology is based on world leading research, published in Nature Genetics, and the company is at the cutting edge of polygenic risk score development. 

We are seeking a talented statistical geneticist / bioinformatician to:
• Develop and implement polygenic risk scores and other algorithms for a variety of clinical applications, including methodological development
• Develop statistical models and methods that incorporate both genetic and non-genetic data to improve risk prediction
• Analyse and interpret complex clinical study data, including interfacing with our research partners

The role will be tailored according to experience of the candidate.

The successful candidate will report to the CEO and will work with our Scientific Advisory and software teams. Our leadership team has a track record of building genetics businesses that change clinical care globally, and our Scientific Advisory team is composed of leading academics and clinicians in the area. 

We are involved in a number of research projects with collaborators, and there will be opportunities to participate in publications.

The role is full-time, though part-time could be possible for the right candidate. A minimum of 3 days per week is required. 

We will offer a competitive package, depending on experience. Remote work is possible for the right candidate.

The successful candidate will play a key role in a small team of committed, talented and friendly people. This is a rare opportunity to join an exciting startup company and make a real impact. 

REQUIREMENTS
• Ph.D. in a relevant discipline (including a Ph.D. student shortly to submit)
• Strong statistical genetics / bioinformatics skillset
• Strong programming skills, typically with experience of R at a minimum
• Experience in/knowledge of polygenic risk scores, ideally including development and use of associated scores and pipelines, and statistical analysis of data
• Strong written and verbal communication skills
• Ability to work independently and in a multi-disciplinary team
• Ideally, experience of Nextflow workflow and/or SLURM scheduling
• Ideally, experience with containers and working in the cloud
• Ideally, experience of machine learning/AI algorithms

Job website: https://www.seonixbio.com/careers/

Contact name: Nick Haan

Contact email: careers@seonixbio.com

Research Officer/Post-doctoral Scientist – Bioinformatics Stem Cell Biology @ NSW

Position title: Research Officer/Post-doctoral Scientist – Bioinformatics Stem Cell Biology

Employer: Children's Medical Research Institute, University of Sydney

Closing date: 09 June 2023

Brief position description: About the job
Children’s Medical Research Institute (CMRI) was Australia’s first dedicated paediatric research facility and is now one of the nation’s most highly regarded independent medical research centres. Our research focuses on embryonic development, cancer, neuroscience and gene therapy and we have a strong international reputation based on our research outcomes. CMRI’s research programs are supported by state of the art facilities and committed research and support staff. Our achievements are made possible by a loyal network of community supporters, highly engaged donors and the very successful Jeans for Genes® fundraising campaign.

A two-year Research Officer/Post-doctoral position funded by a Medical Research Future Fund (MRFF) Stem Cell Therapies Mission grant is now available at the Computational Systems Biology lab at CMRI. We are looking for a highly motivated researcher to employ computational and data analytics approaches to investigate cell identity and cell fate decisions using bulk and single-cell multi-omics and spatial transcriptomics data generated from stem cells and organoids systems. The successful applicant will have a PhD (or be in the final stages of completion) with a strong background in data analytics and computational systems biology, and a working knowledge in molecular cell and stem cell biology.

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://smex-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=https%3a%2f%2fpyanglab.github.io&umid=4e18582d-3f3e-417b-8f53-15c6fe845f01&auth=2af5473c4b03509246eb08bd803a6cf835f69953-d29bb5b92a435ca262ffa6b231098c9ef9d42797) 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 (09 June 2023).

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

Job website: http://pyanglab.github.io/

Contact name: Pengyi Yang

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

Bioinformatics Postdoc Level A or B (3+ years) @ QLD

Position title: Bioinformatics Postdoc Level A or B (3+ years)

Employer: James Cook University (Cairns)

Closing date: June 6th

Brief position description: Bioinformatics postdoc / Contract until Dec 2026 / Level A or B 

Come enjoy the lifestyle in tropical Cairns!

Looking for a technically strong bioinformatician to develop software/workflows in support of several large genomics projects. The bioinformatician will focus on workflows aimed at understanding the role of genetic variation in applications such as human disease or population genetics. Technologies employed include short and long read sequencing as well as single cell technologies such as 10X and MissionBio Tapestri.

Job website: https://myhronline.jcu.edu.au/ords/hrprodords/WK8127$VAC.QueryView?P_VACANCY_REF_NO=18418

Contact name: Matt Field

Contact email: matt.field@jcu.edu.au

PhD Project - Clinical Proteomics for Paediatric Cancer @ NSW

Position title: PhD Project - Clinical Proteomics for Paediatric Cancer

Employer: Children’s Medical Research Institute

Closing date: Open until filled

Brief position description: Background: Paediatric cancer remains the largest cause of death from disease in Australian children. Survivors suffer significant long-term treatment toxicity and poor quality of life. Precision medicine involves generating molecular data that is unique to an individual, to identify features called biomarkers that can inform treatment decisions. Proteomics is the study of the complete set of proteins in a cell. Proteins are highly attractive targets as potential biomarkers, as most anticancer drugs interact directly with proteins rather than DNA or RNA. Mass spectrometry is a technology that can measure an entire proteome, quantifying tens of thousands of proteins in a single cancer sample and therefore including a wealth of potential novel cancer biomarkers.

Project aim: This project will form a major stream in a program of research to investigate how proteomics can improve biomarker discovery in paediatric cancer. We will use mass spectrometry to generate protein measurements from Australian cohorts of paediatric cancers and apply bioinformatics expertise to define a computational signature to improve prediction of treatment response. The research will be highly translational, aiming to explore clinically relevant research questions in paediatric cancer to address urgent areas of unmet need.

PhD Candidate requirements: A background in biology or oncology will be highly advantageous. In this project you will learn computational biology in cancer research. While previous coding experience will be highly valuable, it is not essential because you can gain these skills during your PhD. You will receive excellent training in all aspects of research, including reading scientific literature, conducting high-quality and reproducible research, peer-reviewed publishing and presenting at scientific conferences. The successful PhD Candidate will be highly motivated, a quick learner, strong communicator and eager to pursue a career in cancer science.

About the supervisors: Your PhD will be jointly supervised by Drs Rebecca Poulos and Bhavna Padhye, who are inaugural Sydney Cancer Partners Translational Partners Fellows. Dr Poulos is a Senior Research Officer at the Children’s Medical Research Institute (CMRI). She is a cancer biologist, bioinformatician and expert in multi-omic data integration. She has published as a first-author in high-impact journals including Nature and Cancer Cell, received several prestigious research awards, and has won over $1.25 million in research funding as a Chief Investigator. Dr Padhye is a paediatric oncologist staff specialist at Children’s Hospital Westmead (CHW). She is also clinical lead in the Molecular Genomics team at the Children’s Cancer Research Unit (CHW), site Principal Investigator for the Children’s Oncology Group and member of ANZCHOG, a national clinical trials group for childhood cancer. 

Research environment: You will join the Children’s Medical Research Institute (CMRI), which is home to the ProCan research initiative. ProCan (ie, the Australian Cancer Research Foundation International Centre for the Proteome of Human Cancer) is a world-first program, conducting large-scale proteomic research to change the way cancer is diagnosed and treated. You will join the Cancer Data Science group in ProCan, a research team comprising several highly skilled computational biologists, statisticians, AI experts and data scientists. During your PhD, you will also liaise with a range of multi-disciplinary experts in ProCan, and with clinician researchers at the Children’s Hospital Westmead (CHW). Both CMRI and CHW are located in the world class Westmead Health Precinct.

Job website: http://www.sydney.edu.au/research/opportunities/3266.html

Contact name: Rebecca Poulos

Contact email: rpoulos@cmri.org.au

Computational biologist / Bioinformatician / Data scientist @ NSW

Position title: Computational biologist / Bioinformatician / Data scientist

Employer: Children’s Medical Research Institute

Closing date: Monday 5th June 2023

Brief position description: Position description: Our research team is seeking a computational biologist (or bioinformatician or data scientist) to join an exciting new translational research project studying the proteomics of childhood cancer. This project will be led by Dr Rebecca Poulos (ProCan, CMRI) and Dr Bhavna Padhye (paediatric oncologist staff specialist at Children’s Hospital Westmead). Daily work activities will involve reading scientific literature, data processing and quality control, data analysis (statistical and visualisation) and writing research manuscripts. This is a full-time role, but applicants requesting a part time position will be considered. Flexible work arrangements will be possible. 

Work environment: You will join the Children’s Medical Research Institute (CMRI), an independent medical research organisation with a strong international reputation for research excellence in fields including cancer, genetic diseases, embryology and proteomics. CMRI is home to the ProCan research initiative, which is the Australian Cancer Research Foundation International Centre for the Proteome of Human Cancer. ProCan is a world-first program, conducting large-scale proteomic research to change the way cancer is diagnosed and treated. If successful, you will join the Cancer Data Science group in ProCan, a research team comprising several highly skilled computational biologists, statisticians, AI experts and data scientists. In this role, you will also liaise with a range of multi-disciplinary experts in ProCan, and with clinician researchers at the Children’s Hospital Westmead (CHW). Both CMRI and CHW are located in the world class Westmead Health Precinct.

Requirements: 
• Experience working in or studying computational biology, bioinformatics or data science. 
• Moderate levels of coding skill, with expertise using Python and/or R preferable.
• Evidence of experience conducting and publishing peer reviewed scientific research.
• Biology, proteomics or medical research experience will be highly regarded but not essential.
• A PhD is highly advantageous but is not required.
• The ideal applicant will be a quick learner and highly motivated to gain new skills.

Job website: http://www.seek.com.au/job/67270679

Contact name: Rebecca Poulos

Contact email: rpoulos@cmri.org.au

Bioinformatician @ AGRF

Position title: Bioinformatician

Employer: Australian Genome Research Facility

Closing date: Sunday 21 May 2023

Brief position description:

Australian Genome Research Facility (AGRF) is a not-for-profit organisation committed to quality and innovation. AGRF provides the gateway to a national network of essential genomic technology, expertise and innovation through our main laboratory operations located at the Victorian Comprehensive Cancer Centre in Melbourne, and laboratories located in Adelaide, Brisbane, Perth and Sydney,

We seek to empower Australia to be recognised for world-class genomics and innovation. By collaborating and sharing our knowledge and expertise, and providing local access to innovative and state-of-the-art genomic technologies, we enable Australian academia and industry to advance leading-edge genomic research internationally. We are a team of dependable, collaborative and innovative thinkers who are empowered to generate and deliver solutions to the scientific community.

About the roles
We are seeking a motivated, talented and experienced Bioinformatician to join our highly skilled Bioinformatics team for this ongoing, full time role. 

In this role you will contribute to the delivery of high-quality bioinformatics services at AGRF providing developing technical expertise for specialist bioinformatics services and providing high-quality and professional client support. This includes delivering of high-quality, standardised analysis using automated and semi-automated analysis pipelines; and custom analysis by following established workflows under supervision of Senior team members.

We encourage applications from suitable candidates who wish to work in Melbourne, Sydney, Adelaide, Brisbane, or Perth as this position can be located at any of our sites. 

What you'll need to succeed

Essential:
PhD in relevant field; or Honours or Masters in Bioinformatics with minimum of 2 years relevant experience; or an equivalent combination of experience and/or training
Lead at least a service at expert levels to independently handle complex custom projects efficiently with high quality results.
Must have competent programming skill (expert level in at least one of Python, Perl, R, shell scripting and/or other relevant languages) working in Linux environment.
Pipeline development.
In-depth knowledge of and experience in high throughput NGS sequencing data analysis
Expert in analysing at least one of the areas: germline/somatic exome/WGS variant calling, RNA-seq, MethylSeq, array analysis, population genetics, etc.
Familiarity with basic concepts in biology.
Familiarity with research design and scientific methods
Strong written and verbal communication skills
Demonstrated ability to work effectively in a service role emphasising client satisfaction
Demonstrated ability to handle tight deadlines and maintain high standards of work

Any of the following is desirable but not essential:
Experience in working with job scheduling systems, such as SLURM and PBS, in HPC clusters
Knowledge of working with version control systems such as Git, SVN
Independently research on new methods and develop efficient maintainable pipelines.
Experience with containers and working in the cloud platform.
Experience in analysing long read sequencing data
Strong knowledge in human genetics

Benefits we can offer you
Attractive remuneration package on offer including 10.5% superannuation, salary packaging benefits, incentive plans and employee benefits discount program.

What you need to do to apply:
If this role is for you we'd love to hear from you.

Please apply with your CV and a cover letter. It is essential that you include a statement addressing each of the selection criteria listed under the 'What you'll need to succeed' section of this job ad as part of your application.

Closing date for applications: Sunday 21 May 2023.

If you have any questions about the roles please contact Karen Jenkins, Head of People and Culture, on 03 9321 3709.

* Please note all applicants must have the right to work in Australia.

** No agencies please

Job website: http://www.agrf.org.au/careers

Contact name: Karen Jenkins

Contact email: Karen.Jenkins@agrf.org.au

Research Associate in Statistical Bioinformatics @ NSW

Position title: Research Associate in Statistical Bioinformatics

Employer: University of Sydney

Closing date: 30th May 2023

Brief position description: Full time, 18 months 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, $79,784 p.a. - $107,516 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 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 Research Associate who has:

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
a PhD (or near completion) in bioinformatics, data science, computer science, computational biology or an equivalent combination of training and experience is highly desirable.

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

Pre-employment checks
Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

EEO statement
At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds.

Job website: https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Research-Associate-in-Statistical-Bioinformatics_0105459-2

Contact name: Simon Drew

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

Bioinformatics Research Assistant @ VIC

Position title: Bioinformatics Research Assistant

Employer: WEHI

Closing date: 2023-05-15

Brief position description: An excellent opportunity is available for a Research Assistant in Bioinformatics to join the Advanced Technology and Biology Division at Australia’s pre-eminent biomedical research institute.

The Advanced Genomics Facility forms the nexus for the flow of biological sequence data at WEHI, undertaking a range of sophisticated genomics applications including transcriptomics, functional genomics, single-cell (10x, CEL-Seq2) and spatial (Visium, BGI STOmics, MERSCOPE, and more) analyses run on Illumina, MGI and Nanopore sequencing platforms. We are looking for a graduate research assistant who can contribute to the processing, evaluation and analysis of these data streams

Responsibilities include, but are not limited to:

- Performing data analysis on transcriptomic, single-cell, and spatial data.
- Running/maintaining and developing pipelines for QC and data analysis of genomic, transcriptomic, single-cell and spatial data.
- Communicating QC and analysis results to technical and non-technical researchers.
- Assisting researchers with varying levels of technical expertise to troubleshoot and run their own pipelines.
- Following/implementing best practices for data provenance, management and reproducibility, as well as implementing/testing automations to facilitate these tasks.

Selection Criteria
- Tertiary qualification in bioinformatics/statistics/computer science/software engineering (or other relevant discipline) with an interest in biomedical research. Research experience is advantageous.
- Demonstrable knowledge and experience in R and at least one other programming language (preferably Python). Additional experience with a workflow framework (such as Snakemake, Nextflow or Galaxy) is highly desirable.
- Strong understanding and expertise with the Unix command line. Experience with a computer cluster job-manager (such as SLURM) is desirable. Ability to work independently and in a multi-disciplinary team.
- Effective time management skills and ability to work on several projects in parallel.
- Strong communication skills, written and oral, and an ability to communicate technical concepts to non-technical researchers.

A basic understanding of molecular biology and sequencing is highly desirable.

This position is available for an initial term of 1 year in a full-time or near-full-time capacity. Salary is Research Support Employee Level 5-6 ($73,621-$92,435) subject to experience. Up to 17% superannuation and very attractive salary packaging options are available.

Applications via: https://wehi.wd3.myworkdayjobs.com/WEHI/job/Parkville-Victoria-Australia/Bioinformatics-Research-Assistant_JR1816-1

Job website: http://www.wehi.wd3.myworkdayjobs.com/WEHI/job/Parkville-Victoria-Australia/Bioinformatics-Research-Assistant_JR1816-1

Contact name: Peter Hickey

Contact email: hickey@wehi.edu.au

Postdoctoral scholar @ Pennsylvania State University

Position title: Postdoctoral scholar

Employer: Pennsylvania State University

Closing date: 12/31/2023

Brief position description: JOB DESCRIPTION AND POSITION REQUIREMENTS:

The Uzun Laboratory at the Penn State College of Medicine, Department of Pediatrics, Hershey, PA, is seeking a postdoctoral scholar in computational biology. Responsibilities for this position include data analysis, method development, scholarly activities and other related tasks.

Apply at: https://psu.wd1.myworkdayjobs.com/en-US/PSU_Academic/details/Postdoctoral-Scholar---Computational-Biology_REQ_0000039061 

Responsibilities:

1) Biomedical data analysis (40%): Statistical analysis of biomedical data by using existing methods and developing custom code scripts.

2) Bioinformatics method development (40%): Developing Bioinformatics frameworks using computational and statistical approaches for the problems that are not addressed adequately in the Biomedical domain.

3) Scholarly activities (10%): Generating academic outputs, such as presentations, grants, and manuscripts.

4) Related tasks (10%): Other related tasks assigned by the principal investigator.

Eligibility:

Candidates holding a PhD degree in Computer Science, Math, Statistics (in hand at time of hire) or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also eligible for this position. Bioinformatics experience is preferred but not required. International scholars and members of underrepresented groups are encouraged to apply. PhD candidates who submitted their doctoral thesis and expecting to graduate no later than 2023 Summer, can also apply.

Requirements: 

Prior hands-on experience in R and Unix/Linux shell scripting is required with demonstration in past projects.

Application process:

The candidates are required to submit their electronic applications via PSU Career Portal. The following documents are required for the application to be processed:

1) Cover Letter (1 page): Must contain a brief description of background, career goals and how they are related with this position.

2) Reference List (1 page): Must contain information for at least 3 references. For each reference, the following information is to be provided: Name, title, institute, department, email address, phone number, relationship (advisor, co-advisor, collaborator, etc.). Should include the PhD advisor as one reference. If that’s not possible, a short explanation must be provided for stating the reason (retirement, inaccessibility, etc.) for the exclusion, in this document.

3) CV (4 pages maximum): Must contain at least contact information, education, experience, publication list and skills.

4) Statement of Purpose (3 pages maximum): A detailed description of research and educational background, research interests and intentions and career plan. Must be composed of three sections :

4.1) Background: Expertise and skills gained.

4.2) Research Interests: Research intentions and goals for the postdoctoral role and afterwards.

4.3) Career Plan: Career goals and 5-year career plan. 

IMPORTANT NOTICE: In order for the applications to be processed, all 4 documents MUST be uploaded during the application. The applications with missing documents will be discarded and NOT be considered for the position. If you have any questions or issues with the application process, please contact the Principal Investigator directly: yuzun at pennstatehealth psu edu. 

This is a limited-term non-tenure line position funded for one year from date of hire, with possibility of refunding. 

Employment will require successful completion of background check(s) in accordance with University polices. 

The Pennsylvania State University is committed to and accountable for advancing diversity, equity, and inclusion in all of its forms. We embrace individual uniqueness, foster a culture of inclusive excellence that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity, and engage all individuals to help them thrive. We value inclusive excellence as a core strength and an essential element of our public service mission. 

Job website: http://psu.wd1.myworkdayjobs.com/en-US/PSU_Academic/details/Postdoctoral-Scholar---Computational-Biology_REQ_0000039061

Contact name: Yasin Uzun