MACSYSMIG Research Fellow in Biological Data Science
MACSYSMIG Research Fellow in Biological Data Science
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Job Description
MACSYS/MIG Research Fellow in Biological Data Science
Position Number:
Location:Parkville
Role type:Fulltime; Fixedtermfor 2 years
Faculty:Science
School: Mathematics and Statistics
Salary:Level A $83468 $113262 p.a. plus 17 super (PhD entry level $105518 p.a.
- Join a collaborative and cuttingedge research environment working with worldclass researchers.
- Apply statistics bioinformatics and machine learning methods to analyse complex and largescale biological data.
- Investing in you benefits package including salary packaging health and wellbeing programs discounted services and professional development opportunities.
The University of Melbourne
We take pride in our people who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more viaour websiteand stay connected with our stories and people onLinkedIn.
Your next career opportunity
We are seeking a highly motivated Postdoctoral Fellow to join the Australian Research Council Centre of Excellence for the Mathematical Analysis of Cellular Systems MACSYS and Melbourne Integrative Genomics MIG. You will work under the supervision of Dr Heejung Shim whose group focuses on developing innovative computational methods for biological data.
In this interdisciplinary role you will contribute to cuttingedge research at the interface of mathematics statistics bioinformatics and biology. Your work will involve developing and applying statistical bioinformatics and machine learning methods to analyse complex largescale biological datasets.
MACSYS is the largest dedicated research initiative in mathematical biology bringing together mathematical computational and biological scientists to make biology predictive; establish mathematical whole cell models (WCMs) forin silicobiology as a powerful complement to traditional in vivo and in vitro approaches; tackle fundamental biological problems; and establish a worldleading research and biotechnology translation environment.
MIG is an interdisciplinary research centre to strengthen the involvement of statisticians mathematicians and bioinformaticians in advances in genomics and computational biology.
This position offers the opportunity to be part of a dynamic and inclusive research environment committed to excellence innovation and collaboration across disciplines.
In this role you will be required to:
- You are expected to significantly contribute towards the research effort of the team and to develop your research expertise with an increasing degree of autonomy
- Develop and apply advanced data analysis and computational techniques to extract valuable insights and patterns from largescale biological datasets
- Collaborate with interdisciplinary teams to exchange ideas and leverage complementary expertise in biology statistics mathematics and computational science
- Maintain clear and comprehensive documentation of all methods data analyses and findings for future reference and knowledge sharing
You may be a great fit if:
We are looking for an early career academic with a strong foundation instatistics data science or a related discipline combined with advanced computational skills. With a growing publication track record and a clear ambition to build a research career you are confident preparing highquality research outputs and engaging with collaborators across academia and industry.
You may also:
- Completion (or near completion) of a PhD in statistics data science computational biology or a related discipline
- Strong background in statistics data science AI/ML or bioinformatics
- Strong computational skills
- Experience in biological data science including the application of quantitative methods to biological data analysis
- A demonstrated aptitude for research with a sound publication record in relevant areas commensurate with experience and opportunities
- Demonstrated ability to prepare research reports and manuscripts for publication
- Strong evidence of ability and desire to build an academic research career trajectory
- Demonstrated ability to engage with relevant professional and industry bodies and stakeholders to foster collaborative partnerships
For further information please refer to the attached PD.
What we offer you!
We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfillment including:
- Supportive flexible work arrangements underpinned by our commitment to inclusion and wellbeing
- Progressive considerate leave provisions to empower your worklife balance
- Salary packaging and access to a range of discounted services including Bupa health insurance
- Health and wellbeing services including a leading Employee Assistance Program
- Comprehensive career development and training plus a 25 discount on UniMelb graduate courses for your immediate family members!
For more information check outour benefitspage!
Your new team School of Mathematics and Statistics
The University of Melbournes School of Mathematics and Statistics is one of Australias leading mathematicsand statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline. The school currently hosts two ARC Centres of Excellence and hashostedfourARC Laureate Fellows tenARC Future Fellows andfourteenDECRA Fellows.
Be Yourself
The University of Melbourne is an Equal Opportunity Employer and a childsafe organisation. We are committed to creating an inclusive and equitable workplace where all individuals feel valued respected and have the opportunity to thrive regardless of gender identity ethnicity sexual orientation disability age being a parent or having caring responsibilities.
The University of Melbourne is committed to fostering a barrierfree and inclusive recruitment process. We are dedicated to providing reasonable adjustments for candidates throughout the application and interview stages including accessible document formats and alternative application methods. To discuss your specific requirements please feel free to contact Kim Groizardor send an email titled Reasonable Adjustments to . You can find more information for applicants requiring reasonable adjustments on our Careers website: and Torres Strait Islander Applicants
We aspire to be the University of choice for Indigenous Australians with unprecedented investment to attract nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne.
For further information including ourIndigenous strategy please visit you are a member of an Aboriginal and/or Torres Strait Islander community and would like any support please feel free to contact our Indigenous Employment & Development team via email at .
Working at the University what you need to know
This role requires the successful candidate to maintain a Working with Children Check The successful candidate can apply for the WWCC as part of the onboarding process. In the case the selected candidate doesnt have a valid Working with Children Check they will be able to apply for the WWCC as part of the initial onboarding procedures.
Please note: Visa sponsorship is available for this position.
Join Us and unlock your career potential!
Is this the perfect opportunity for you Apply today! Including the following documents:
- Resume
- Cover Letter outlining your interest and experience
- The responses against the Selection Criteria^ (found in the Position Description)
^For information to help you with compiling short statements to answer the selection criteria and competencies please go to you have any questions regarding the recruitment process please feel free to contact Anna Gradoboeva via email at ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address.
If you have any particular questions regarding the job please follow the details listed on the Position Description.
Position DescriptionAdvertised: AUS Eastern Standard Time
Applications close: AUS Eastern Standard Time
Employment Type
Grant
