Data Scientist / Data Manager - Perinatal Epidemiology

  • The University of Melbourne
  • Australia, Vic
  • Jan 13, 2023

Job Description:

Job no: 0058317
Location: Mercy Hospital
Role type:
Full-time; Fixed term for 12 months
Faculty of Medicine, Dentistry and Health Sciences
Department/School: Department of Obstetrics & Gynaecology
$77,171 - $104,717 (Level A) or $110,236 - $130,900 (Level B) p.a. plus 17% super.

The University of Melbourne would like to acknowledge and pay respect to the Traditional Owners of the lands upon which our campuses are situated, the Wurundjeri and Boon Wurrung Peoples, the Yorta Yorta Nation, the Dja Dja Wurrung People. We acknowledge that the land on which we meet and learn was the place of age-old ceremonies, of celebration, initiation and renewal, and that the local Aboriginal Peoples have had and continue to have a unique role in the life of these lands.

About the Mercy Perinatal Unit

The Department of Obstetrics and Gynaecology is an internationally recognised centre of excellence for academic Obstetrics, Gynaecology, and Neonatal Paediatrics. Its mission is to provide a high-quality academic service across a broad range of clinical, educational and research activities within its associated teaching hospitals. The Mercy Perinatal research unit is based within The University of Melbourne Department of Obstetrics and Gynaecology at Mercy Hospital for Women, Heidelberg.

The Mercy Perinatal unit comprises a dynamic team of scientists and clinician researchers working toward developing new diagnostics and therapeutics and improving the understanding of major pregnancy complications. The team’s current suite of projects ranges from investigating the associations between medications taken during pregnancy and maternal and childhood outcomes, through to the development of novel devices to detect and prevent pregnancy complications and the development of therapeutics and diagnostic markers.

About the Role

The Data Scientist will be responsible cleaning, preparation, and management of an extensive linked dataset. You will be required to work within R or Python and STATA software platforms, to help oversee and clarify data completeness, implausible values, validity of record linkages, and data quality. The Data Scientist will be required to provide complete and cleaned data files for discrete projects for analysis by principal investigators and other team members. This function is critical to the success of the Perinatal Epidemiology group and its planned research outputs. Data will be accessed from within the Department of Obstetrics and Gynaecology, remote access to the data is not allowed.

Responsibilities include:

About You

You will be enthusiastic about translational medicine and improving outcomes for babies. You will have excellent interpersonal skills and be able to work effectively both autonomously and within a team environment. You will have excellent time management, organisational, and analytical problem-solving skills, and demonstrated skills in written communication and visual display of quantitative data.

The ideal candidate will have extensive experience in the management and cleaning of large, health-based linked datasets, and be an experienced user of STATA software. Previous use of R and/or Python software is preferable.

You will also have:

To ensure the University continues to provide a safe environment for everyone, this position requires the incumbent to hold a current and valid Working with Children Check.

Please note: To be considered for this role you must have current valid work rights for Australia.

About the University

The University of Melbourne is consistently ranked amongst the leading universities in the world. We are proud of our people, our commitment to research and teaching excellence, and our global engagement.

Benefits of Working with Us

In addition to having the opportunity to grow and be challenged, and to be part of a vibrant campus life, our people enjoy a range of rewarding benefits:

To find out more, visit

Be Yourself

We value the unique backgrounds, experiences and contributions that each person brings to our community and encourage and celebrate diversity. First Nations people, those identifying as LGBTQIA+, females, people of all ages, with disabilities and culturally and linguistically diverse people are encouraged to apply. Our aim is to create a workforce that reflects the community in which we live.

Join Us!
If you feel this role is right for you, please submit your application including a brief cover letter, your resume and your responses against the selection criteria^ (found in the Position Description) for the role.

^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to