Tenure-Track Assistant Professor in Public Health Integrative and Computational Biology (Hong Kong)

Employer:The University of Hong Kong

Closing date:30 June 2019

Brief position description:Applications are invited for appointment as Tenure-Track Assistant Professor in Public Health Integrative and Computational Biology in the School of Public Health (Ref.: 494162), to commence as soon as possible, on a three-year fixed-term basis with the possibility of renewal and with consideration for tenure before the expiry of a second three-year fixed-term contract, subject to satisfactory performance.

Applicants should possess a doctoral degree in molecular biology, genomics, computational biology, public health or a related field, with a track record of high-quality research in the field of biomedical sciences. Preference will be given to those with proven experience in applying cutting-edge approaches to explore biological questions that can be translated into public health practice. The primary selection criterion will be scientific excellence and the perceived ability to augment the intellectual creativity and innovation potential of the School of Public Health. The appointee will work in the HKU-Pasteur Research Pole under the School of Public Health. He/She will spearhead quantitative biology research programmes at the intersection of molecular biology, virology, immunology, genetics and public health; teach related courses at undergraduate/postgraduate levels; and conduct relevant knowledge exchange (KE) activities for the community. He/She is expected to harness the use of the School’s long-running cohorts in building biobanks for promoting precision public health, and advance the translation of discoveries into disease prevention and population health strategies. Information about the School can be obtained at http://sph.hku.hk.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. Housing benefits will be provided as applicable.

Job website:http://jobs.hku.hk/cw/en/job/494162/tenuretrack-assistant-professor-in-public-health-integrative-and-computational-biology

Contact name:Joshua Ho

Contact email:jwkho@hku.hk

Post-Doctoral Researcher of Computational Biology @ Melbourne

Employer: The University of Melbourne

Closing date: 10th June 2019

Brief position description: We are seeking a highly motivated post-doctoral researcher to join the research program of A/Prof Laura Mackay within the Department of Microbiology and Immunology at the Doherty Institute (https://www.doherty.edu.au/people/associate-professor-laura-mackay). The Mackay Lab aims to understand the molecular mechanisms underlying the generation of protective T cell immunity, with a view to develop new therapeutic strategies designed to harness immune cells to protect against infection and cancer.

The position requires a driven computational scientist with an interest in biological discovery. The researcher will lead projects that will involve the analyses of high-throughput sequencing datasets (e.g. RNA-seq and scRNA-seq) generated from pre-clinical models in the Mackay Lab and from patient cohorts. We are interested in the use of computational approaches to drive biological discovery and develop methods and software for the analysis of data produced by modern sequencing technologies. This position will be jointly mentored by Prof Terry Speed and Dr Heejung Shim. Prof Speed is a world-renowned statistician and a pioneer in the field of bioinformatics, with a Laboratory at the Walter and Eliza Hall of Medical Research (https://www.wehi.edu.au/people/terry-speed). Dr Shim is part of the School of Mathematics and Statistics at the University of Melbourne and Melbourne Integrative Genomics. Dr Shim is well known for her creative approaches to analysing next generation sequencing data (https://heejungshim.org).

The applicant should have a PhD in computer science, bioinformatics or another relevant discipline. Previous experience in genetics, genomics, computational biology or bioinformatics is essential and strong programming skills are required. Researchers are expected to be self-motivated and to operate with minimal supervision under the general direction of the Laboratory Head and provide increasing input on scientific direction of their projects. The appointee will also be expected to contribute to collaborative research projects and will have the opportunity to present data at meetings and contribute to research training of students and junior staff.

Job website: http://jobs.unimelb.edu.au/caw/en/job/899597/research-officer-computational-science

Contact name: Laura Mackay

Contact email: lkmackay@unimelb.edu.au

Research Fellow in Biostatistics and Epidemiology (The University of Sydney)

Employer: The University of Sydney

Closing date: 11:30pm, 2 June 2019

Brief position description: Research Fellow in Biostatistics and Epidemiology
School of Medical Sciences
Discipline of Pharmacology

• Use your Biostatistics expertise and work with internationally renowned experts on substantial programs
• Key role in collaborative research programs located in the School of Medical Sciences in Camperdown
• Fixed term full time until December 2022, remuneration base salary of $104k and up to 17% superannuation

About the opportunity

We are in a period of exciting and significant investment in our Faculty of Medicine and Health and in order to deliver on the University’s ambitious strategic plan, we are looking for a Research Fellow – Biostatistician/ Epidemiology to join the Faculty of Medical Science Discipline of Pharmacology team.

This position will contribute to research conducted as part of a program, which aims to address research gaps in key human toxicology issues and ensure rapid translation of these results into practice and regulation. The incumbent will be working with internationally renowned experts, within one of the few substantive clinical toxicology research collaborations in the world. We work with several national and international networks of collaborators on various projects. The position will provide advice and support to researchers, collaborators and research students concerning the design and appropriate epidemiological and statistical methodologies, with a focus on pharmaco-epidemiology of linked data sets, pharmacometric modelling, epidemiology and/or clinical trials. Responsibilities will include planning and carrying out statistical analyses, using statistical software to manage and analyse data and contributing to drafting and dissemination of research results, supervising students and junior research staff. The incumbent will also have an opportunity to develop their own research interests in this field.

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 Fellow in Biostatistics and Epidemiology who has:

• PhD or a postgraduate degree in epidemiology, biostatistics, statistics and or other quantitative research techniques or equivalent experience
• history of research evidenced by peer reviewed publications
• experience in fitting and/or interpreting complex statistical models
• excellent data organization and analysis skills
• excellent oral and written skills including the ability to communicate statistical results to non-statisticians
• strong computing skills in several statistical or modelling software packages eg. SAS, Stata, SPSS, R, Matlab, Excel, ARC-GIS, Nonmem.

Experience as a statistician or epidemiologist in pharmacometric, pharmacoepidemiology or health research would be highly regarded.

About us

First established in 1949, the Discipline of Pharmacology of the University of Sydney is the largest of its kind in Australia, with an extensive range of research programs and well equipped undergraduate teaching facilities. The Discipline of Pharmacology is part of the Faculty of Medicine and Health. It provides a vibrant and dynamic environment for conducting high quality research.

Since our inception 160 years ago, the University of Sydney has led to improve the world around us. We believe in education for all and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion, and underpin our long-term strategy for growth. We’re Australia's first university and have an outstanding global reputation for academic and research excellence. Across our campuses, we employ over 7600 academic and non-academic staff who support over 60,000 students.

We are undergoing significant transformative change which brings opportunity for innovation, progressive thinking, breaking with convention, challenging the status quo, and improving the world around us.

How to apply

For more information on the position and University, please view the candidate information pack available from the job’s listing on the University of Sydney careers website.

All applications must be submitted via the University of Sydney careers website. Visit sydney.edu.au/recruitment and search by the reference number 790/0419 to apply.

Closing date: 11:30pm, 2 June 2019

The University of Sydney is committed to diversity and social inclusion. Applications from people of culturally and linguistically diverse backgrounds; equity target groups including women, people with disabilities, people who identify as LGBTIQ; and people of Aboriginal and Torres Strait Islander descent, are encouraged.

© The University of Sydney

The University reserves the right not to proceed with any appointment.

Job website: https://sydney.nga.net.au/?jati=BDF211C8-9E1B-C195-B731-AD42F93353F2

Contact name: The University of Sydney

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

Postdoctoral Research Fellow (Research Officer) in Computational Genomics / Genome Informatics / Bioinformatics in Queensland

Employer:The University of Queensland

Closing date:3 May 2019, 23:55 (Eastern Australian Standard Time)

Brief position description:The person appointed to this position will be responsible for assembly, analysis and interpretation of genome-scale sequence data from coral reef symbionts and related dinoflagellate species within a recently funded Discovery Project. The successful applicant will collaborate as appropriate in the identification of potential genomic signatures of symbiosis and adaptive selection. There are opportunities to be part of research teams, to address individually-developed and collaboratively-generated research questions, to travel for collaborative research visits or attending conferences, and to supervise honours, masters and doctoral students.

To be successful in this appointment, you will hold a PhD in molecular biology, microbiology, marine biology, genomics, bioinformatics or a related discipline, partnered with at least three years' full-time experience in a relevant area of molecular biology, microbiology, genomics, transcriptomics, or bioinformatics. You will also hold experience in scientific programming and/or scripting, having familiarity with working under UNIX environment and a knowledge of modern scripting language. Additionally, you will also be able to demonstrate: a high-level ability to write scientific papers; an organised approach to tasks with high attention to detail; and effective collaboration and communication skills.

See Selection Criteria outlined in the Position Description for more detail. To apply, you must provide a cover letter, CV, and a statement addressing the Selection Criteria.

Job website:http://jobs.uq.edu.au/caw/en/job/507311/postdoctoral-research-fellow

Contact name:Cheong Xin Chan

Contact email:c.chan1@uq.edu.au

Medical Research Data Scientist/ Bioinformatician (New South Wales, Australia)

Employer:Children's Medical Research Institute

Closing date:20th May 2019

Brief position description:We are seeking a suitably qualified Data Scientist/Bioinformatician to join the Bioinformatics and Data Science Research Facility. This role will involve collaborating with medical researchers from the CMRI and collaborating institutions to develop and tailor computation tools, statistical and mathematical solutions around specific research questions. It will involve engaging in experimental design, building novel algorithms or using ‘best practices’ tools to transform experimental and clinical data into relevant knowledge that may lead to actionable novel research findings or improvements to clinical decision-making. The successful applicant will have opportunities to explore and interrogate a diverse range of data, some of which include: genomics, epi-genomics, transcriptomics, proteomics, structural biology, cell imaging and clinically relevant data. Additionally, the successful applicant will reside alongside highly experienced medical research data scientists/bioinformaticians and software engineers.

Job website:https://www.seek.com.au/job/38789722?_ga=2.136515318.796906646.1554774149-1002042689.1494473350

Contact name:Paulina Baranowski

Contact email:pbaranowski@cmri.org.au

Computational biologist in the Gastrointestinal Genetics Lab, Monash University

Employer:Monash University

Closing date:Position open until an ideal candidate is identified

Brief position description:Level A/B research position (depending on qualifications) fully funded for up to 3 yrs is available immediately to join the new Gastrointestinal Genetics Research Group directed by Prof Mauro D’Amato (https://scholar.google.com/citations?user=NkBZE9QAAAAJ&hl=en) at the School of Biological Sciences, Monash University, Clayton Campus. The team combines genomic, computational and pre-clinical expertise to elucidate the pathogenetic mechanisms predisposing to gastrointestinal (GI) disease. The druggable genome, nutrigenetics and host (genome) - microbiota interactions are new research lines. The ultimate goal is a translational application for therapeutic precision in gastroenterology.

We are seeking a computational biologist/bioinformatics expert to join our team and lead research focused on the genetic causes of inflammatory bowel disease, irritable bowel syndrome, microscopic colitis and other GI conditions. The successful candidate will be in charge of project(s) involving large-scale data analysis (genomics, (epi)genetics, transcriptomics, metagenomics etc), the interpretation of results and their communication in scientific journals and at international meetings, including co-supervision of junior members of the team. Specific projects will be discussed based on the candidate interest, competence and projected scientific trajectory (we are happy to serve as springboard for independence).

You are at an advanced stage of your postdoc/junior PI scientific career, or have equivalent research experience as support analyst/computational biologist, and are looking for the opportunity to take on a pivotal role in a nascent group of internationally recognised leaders. You hold a PhD in computer science, bioinformatics, genetics or related fields, have documented knowledge of R/Bioconductor, Python and programming languages, Unix environment and high-performance computing clusters.

Contact name:Mauro D'Amato

Contact email:mauro.damato@monash.edu

Computational biologist in the Gastrointestinal Genetics Lab (Melbourne)

Employer: Monash University

Closing date: May 2019

Brief position description: Level A/B research position (depending on qualifications) fully funded for up to 3 yrs is available immediately to join the new Gastrointestinal Genetics Research Group directed by Prof Mauro D’Amato (https://scholar.google.com/citations?user=NkBZE9QAAAAJ&hl=en) at the School of Biological Sciences, Monash University, Clayton Campus. The team combines genomic, computational and pre-clinical expertise to elucidate the pathogenetic mechanisms predisposing to gastrointestinal (GI) disease. The druggable genome, nutrigenetics and host (genome) - microbiota interactions are new research lines. The ultimate goal is a translational application for therapeutic precision in gastroenterology. 
We are seeking a computational biologist/bioinformatics expert to join our team and lead research focused on the genetic causes of inflammatory bowel disease, irritable bowel syndrome, microscopic colitis and other GI conditions. The successful candidate will be in charge of project(s) involving large-scale data analysis (genomics, (epi)genetics, transcriptomics, metagenomics etc), the interpretation of results and their communication in scientific journals and at international meetings, including co-supervision of junior members of the team. Specific projects will be discussed based on the candidate interest, competence and projected scientific trajectory (we are happy to serve as springboard for independence).
You are at an advanced stage of your postdoc/junior PI scientific career, or have equivalent research experience as support analyst/computational biologist, and are looking for the opportunity to take on a pivotal role in a nascent group of internationally recognised leaders. You hold a PhD in computer science, bioinformatics, genetics or related fields, have documented knowledge of R/Bioconductor, Python and programming languages, Unix environment and high-performance computing clusters.

The position is available immediately until filled, if interested please get in touch

Contact name: Mauro Damato

Contact email: mauro.damato@monash.edu

Bioinformatics Postdoctoral Fellowship (Hong Kong)

Employer:The University of Hong Kong

Closing date:30 September 2019

Brief position description:Applications are invited for appointment as Post-doctoral Fellow in the School of Biomedical Sciences (Ref.: 494193), to commence as soon as possible for two to three years.

Applicants should have a Ph.D. degree preferably in Bioinformatics, Computer Science, Statistics, Mathematics, Biomedical Sciences, Bioengineering or a related discipline, with experience in developing and applying bioinformatics software to solve a variety of biomedical problems. They should also be organized, self-motivated, and able to work independently and in a team; and must be proficient in at least one computer programming language. The appointee will participate in research projects relating to single-cell analysis, disease genomics, metagenomics, and systems biology. Enquiries about the post should be sent to Dr. Joshua Ho at jwkho@hku.hk.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

Job website:http://jobs.hku.hk/cw/en/job/494193/postdoctoral-fellow

Contact name:Joshua Ho

Contact email:jwkho@hku.hk

Postdoc position - canine genome analysis - focus on the Australian dingo

Employer: University of New South Wales

Closing date: April 8, 2018

Brief position description: Specific responsibilities for this role include:
• Analyses of canine genomes focusing on the Australian dingo.
• Bioinformatics and programing to determine genes under selection.
• Determination of basic population genetic parameters.
• Maintain an accurate and well-kept laboratory notebook.
• Assist with preparation of animal ethics protocols.
• Other relevant duties as required by the supervisor.
• Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others.

SELECTION CRITERIA
• PhD in a relevant field.
• Demonstrated experience in mammalian genomics.
• Demonstrated experience in population genetics.
• Demonstrated experience in bioinformatics or basic programming.
• Excellent organisational, written, and verbal communication skills.
• Demonstrated ability to prioritise work, meet deadlines and publish research findings.
• Demonstrated ability to work effectively in a team environment and at times with minimal supervision.
• Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

Postdoc in Statistical Genomics 

Employer: University of Melbourne 

Closing date: 18/04/19 

Brief position description: Postdoc position funded by an ARC grant to develop models relating whole-genome genotypes with outcomes of interest in humans and other organisms, including bacteria. It's a field of great current progress and excitement with many opportunities for further advances. You will work with a small team in Melbourne Integrative Genomics and with collaborators in Denmark, Norway and other centres. You should have a PhD in a highly-quantitative discipline, experience of scientific computer programming and be familiar with handling large datasets. 

Job website: http://careers.pageuppeople.com/422/ci/en/job/899342/research-fellow-in-statistical-genetics

Contact name: David Balding 

Contact email: dbalding@unimelb.edu.au