Lecturer, Computational Biology

Employer: UTS / Faculty of Science/The ithree institute and School of Life Science


Closing date: 23rd July, 2019 at 11:59pm (AEST) 

Brief position description:

At UTS, the concepts of equity and social justice are key to our core and purpose – we are recognised widely as supporting inclusivity and valuing diversity. Cited as a Workplace Gender Equality Agency Employer of Choice since the inception of the award, we are now among the first Australian institutions to receive the Athena SWAN Bronze Accreditationfor our commitment to action addressing gender equity in the STEMM disciplines. UTS Equal Futurescelebrates and supports women in academia through every stage of their career.

 

The Faculty of Scienceaims to ensure equitable representation in all occupational categories and in all levels of its workforce. In an effort to eliminate employment barriers we especially encourage applications from suitably qualified individuals from culturally and linguistically diverse backgrounds, from individuals with primary carer responsibilities, from Aboriginal and Torres Strait Islander candidates and from female candidates.

 

This is a fantastic opportunity for early-career academics specialising in bioinformatics to join a dynamic team of excellent scientists in The ithree institute within the Faculty of Science.  This research-intensive role will provide you with the scope to hone your research and pedagogical skills and afford you the opportunity to work alongside and be mentored by, world-class life sciences scholars. We are really looking forward to helping you develop your career with us.  

 

About the role

 

We are seeking to add breadth and depth to our current strength in bioinformatics through appointment of two new research-intensive Lecturers with expertise in bioinformatics and computational biology. You will be a core member of i3.

 

The roles carry a 20% teaching load focused on aspects of applied bioinformatics, microbiology, genetics, genomics, data analysis, and reproducible research teaching into relevant degree programs in the Faculty of Science. After three years the position defaults to a 40% teaching, 40% research workload.

 

Successful candidates will have a strong research background in bioinformaticsand computational biologythat aligns well with the existing research strengths in the UTS ithree institute(Infection, Immunity, and Innovation) in particular around genomic epidemiologymetagenomicsphylogeneticstranscriptomics,proteomicsmachine learning, and microbiology.

 

About you

 

To be successful in securing a role you will also have:

 

·      A PhD or equivalent in a field relevant to the teaching and research scope of the position.

·      Demonstrated experience in teaching and learning at undergraduate and/or course-taught postgraduate levels, including evidence of positive student learning outcomes

·      Ability to develop research-led and industry-linked undergraduate or course-taught postgraduate curriculum in the Faculty. 

·      Demonstrated experience of managing higher degree students (with timely completions) and evidence of supporting their professional development for future success.

·      A nationally or internationally competitive research track record in bioinformatics and computational biology as described above. 

·      Ability to gain external research funding and conduct successful research in bioinformatics;

·      Demonstrated ability to carry out advanced computational analyses of biological data, including the development of new methods and algorithms and their implementation in software.

 

In return, you will get to work in state-of-the art teaching, learning and research facilitieswith a collaborative cohort of academics. You will receive solid support from the UTS in regard to research and you will have excellent opportunities to conduct research with reputed scholars from across the University through interdisciplinary research centres at UTS.

 

Remuneration & Benefits

Base Salary Range:$103,981 to $123,067 pa (Level B)


This role attracts 17% superannuation (pension) in addition to the base salary.  

UTS staff also benefit from a wide range of Employee Benefitsinclude flexible work practices, child care centres, generous parental leave and salary packaging opportunities.

This position is full time and appointment will be made on a continuing basis   

How to Apply 

 For the full list of the selection criteria and role responsibilities please click the apply link and download the Position Statement from the UTS website. 

UTS is committed to diversity and inclusion in our workforce and we encourage applicants where relevant to include a relative to opportunity or career disruption/break statement within their CV

You are required to address the selection criteria in your submission, in a separate document. 

Only those applications submitted via the UTS online recruitment system will be accepted.  Current UTS employees should apply through their UTS Employee Self Service function.

 As you will be unable to save your application once started, please have all required documents and information available prior to commencing. 

 Please ensure that the file name for each document submitted includes IRC135256.

 

Specific enquiries or issues with your application may be directed to the UTS Recruitment Team at recruitment@uts.edu.au or on +61 (0) 2 9514 1080.

Job website: https://www.uts.edu.au/staff/jobs-uts/working-uts

Contact: Specific enquiries or issues with your application may be directed to the UTS Recruitment Team at recruitment@uts.edu.au or on +61 (0) 2 9514 1080.

Bioinformatician in Garvan Institute of Medical Research (Sydney, NSW)

Employer:Garvan Institute of Medical Research

Closing date:Open until filled

Brief position description:We are currently seeking a Bioinformatician to work with members of the Single Cell and Computational Biology to support computational research activities across the following areas:
* Population genetics meets single cell sequencing
* Resolving the genetic mechanisms of complex human disease using stem cells
* Clinical translation of single cell sequencing for diagnosis and precision medicine

The role will involve curation, management, and analysis of high-throughput genomic data and patient medical records. In addition to supporting the research activities of other group members, opportunities will be made available to pursue and publish leading research.

Job website:http://garvan.applynow.net.au/jobs/GC201972

Contact name:Jessica Su

Contact email:j.su@garvan.org.au

Postdoctoral Scientist in Computational Genomics / Bioinformatics @ Sydney

Employer: Molecular Cardiology Program, Centenary Institute, Sydney NSW

Closing date: 5th July 2019

Brief position description: This role will lead research focused on understanding the genetic causes of inherited heart diseases. You will assist with the analysis and interpretation of genomic sequencing data generated within the Molecular Cardiology Program and the Australian Genomics Cardiovascular Genetic Disorders Flagship. This role will include analysis of genomic data such as exome, genome and RNA-Seq, and facilitate interpretation of the data to researchers within the Molecular Cardiology Program and wider research network.

Job website: http://www.seek.com.au/job/39255277

Contact name: Richard Bagnall

Contact email: r.bagnall@centenary.org.au

Bioinformatics Research Technician (Melbourne)

Employer: Walter and Eliza Hall Institute

Closing date: 11/6/2019

Brief position description: The successful candidate will provide bioinformatics support for the study of the development and function of blood cells. This role will include genomics data analysis such as RNA-Seq, Single Cell Sequencing and ChIP-Seq, and as well as imaging analysis, as part of a range of projects within the lab.

You will support the genomics and imaging data analysis of the laboratory. Playing a key role alongside the senior scientists, you will carry out a range of supervised work activities across a variety of projects using computational software and approaches to enable haematopoietic research. This role will include genomics data analysis such as RNA-Seq, Single Cell Sequencing and ChIP-Seq, as well as imaging analysis.

Honours / Masters Degree in a computational discipline relevant to bioinformatics and cellular genomics (bioinformatics, statistics, machine learning, computer science, applied mathematics, physics or similar) and proficiency in one or more of R, Python, C++, Java, Perl and/or SQL computer programming and scripting languages is essential. You will have a demonstrated ability in the use of Unix-based systems, and experience in data analysis and management.

Ideally you will have experience working in a high-performance computing environment where you have developed expertise in statistics and/or machine learning. Prior exposure to research in genomics, genetics, imaging, computational biology or bioinformatics will enhance your success in the role. Exposure to the statistical analysis of large-scale human and/or mouse genomic datasets will be highly regarded.

Job website: http://www.wehi.edu.au/bioinformatics-research-technician-hilton-lab

Contact name: Carolyn de Graaf

Contact email: degraaf@wehi.edu.au

Medical Laboratory Scientist - Molecular Haematology :Permanent - Full Time (Sydney)

Employer: NSW Health Pathology (RPA Hospital)

Closing date: 03/06/2019 - 11:59 PM

Brief position description: We are looking for a Scientist with a demonstrated knowledge of massively parallel sequencing and and molecular diagnostics who will be a involved in the validation, implementation and operation of molecular diagnostic services in our laboratory.
The Molecular Haematology Laboratory is a well established molecular diagnostic laboratory that is part of the Institute of Haematology at Royal Prince Alfred Hospital. As part of NSW Health Pathology, the successful applicant will be entitled to the benefits and opportunities available to all employees of the organisation.
The role will primarily be responsible for performing massively parallel sequencing on DNA and RNA samples from patients who are being investigated for haematological disorders. The workflow will include sample processing and storage, library preparation and quantitation, sequencing, and output file management.

Job website: http://iworkfor.nsw.gov.au/job/medical-laboratory-scientist-molecular-haematology-156694

Contact name: Alberto Catalano

Contact email: alberto.catalano@health.nsw.gov.au

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