Postdoctoral Bioinformatician

About the Baker Institute
Baker Heart and Diabetes Institute is an independent, internationally-renowned medical research facility, with a history spanning more than 90 years. The Institute's work extends from the laboratory to wide-scale community studies with a focus on diagnosis, prevention and treatment of diabetes and cardiovascular disease.

The Baker Institute is the nation’s first multi-disciplinary organisation tackling the deadly trio of obesity, diabetes and cardiovascular disease through research, education and patient care.

About the Role
We are looking for a Postdoctoral Bioinformatician.
The successful candidate will be based at the Baker Institute in the Systems Genomics and Metabolomics Labs and supervised by A/Prof Michael Inouye ( and Prof Peter Meikle ( The successful candidate's main roles will be (i) to provide expert biostatistical and bioinformatic analysis to perform risk prediction using a variety of data types, including polygenic risk scores and metabolomic data. (ii) develop new risk prediction methodologies that may transform how we screen for and prevent cardiovascular disease. (iii) oversee project management for sample processing and data management.

In this role you will be expected to:

  • Perform high quality research in biostatistics, bioinformatics, genomics and computational biology
  • Develop new or modifying existing risk prediction methodologies to suit new data types (e.g. genomic or metabolomic).
  • Manage data and wrangling, quality control and normalization
  • Manage projects, including ensuring that samples are processed and data returned to a high fidelity and in a timely manner
  • Contribute to preparing manuscripts for publication, technical reports and other research-related documents.
  • Participate in the planning and development of general goals for the research project.
  • Organise data for supporting new funding applications.
  • Perform critical literature reviews.

Skills and Experience
The essential skills to succeed in this role are:

  • A PhD in a quantitative discipline (such as bioinformatics, biostatistics, computational biology, computer science, or epidemiology) and/or science discipline (such as biochemistry, molecular biology or genetics/genomics) with substantial quantitative component.
  • Research experience in disease risk prediction, statistical genetics, or a high competency in the statistical or computational analysis of large datasets.
  • A high level of interpersonal skills, which enable the appointee to liaise effectively with a wide range of people at a variety of levels internal and external to the Institute.
  • Demonstrated ability to use Unix-based systems, high performance or cloud computing, modern scripting/programming languages including R and python.
  • Demonstrated ability to produce high quality results and to meet deadlines without compromising close attention to detail and accuracy.
  • Proven capacity to work as a member of a team as well as autonomously without close supervision.
  • Demonstrated ability to lead and contribute to high impact research publications.

Remuneration will be commensurate with the successful candidate's qualifications and experience, plus superannuation and generous salary packaging options. Other benefits include flexible working hours and generous primary caregiver leave. Numerous fellowships, grants and workshops to support parents, women and ethnic minorities in science are available as an ongoing commitment of the Institute to promote gender equity and diversity.

Read more about our gender equality and diversity initiatives:

How to Apply
Applications should include a current resume with details of 3 professional referees quoting reference (MIPM01).  To be eligible to apply for this position you must have an appropriate Australian or New Zealand work visa.  For a position description or further information, please visit our website at: 

Applications Close: Thursday, 13 August 2020

The Baker Institute is an Equal Opportunity Employer and we welcome interest from Aboriginal and Torres Strait Islanders for roles within the Institute. We value diversity, inclusivity, gender equity and we promote family friendly practices. We are a proud recipient of an inaugural Athena SWAN Bronze Award from Science in Australia Gender Equity (SAGE).

Contact details
A/Prof Mike Inouye
Munz Chair of Cardiovascular Prediction and Prevention
Director, Cambridge Baker Systems Genomics Initiative

Prof Peter Meikle
Domain Head, Systems Biology
Laboratory Head, Metabolomics
Baker Heart and Diabetes Institute