Digital Health Data Scientist
Job no: 0054454
Role type: Full-time, Fixed-term for 12 months
Faculty: Engineering and Information Technology
School: Computing and Information Systems
Salary: Level A: $80,258 - $108,906 p.a., Level B: $114,645 - $136,136 p.a plus 17% super
- Contribute to data analytics for grant-funded projects enhancing the lives of brain cancer patients and young stroke survivors
- Opportunity to apply data science expertise to transformative digital health projects, enhancing patient care and collaborating across disciplines for meaningful impact
- Salary packaging, subsidised health and wellbeing services, fitness and cultural clubs, Myki discounts, and a 25% discount on graduate courses to our staff and their immediate families!
About the Role
Join our dynamic teams at the Centre for Digital Transformation of Health and Melbourne Centre for Data Science, as an early-career researcher. Participate in grant-funded projects focused on enhancing the well-being of brain cancer patients and young stroke survivors through the development of pioneering digital health platforms. Dive into data analytics, evaluating platform usability and patient engagement, while collaborating with multidisciplinary teams. Your expertise in data science will drive insights, fostering real-world healthcare outcomes. Embrace this exceptional opportunity to grow as a digital health data scientist, shaping the future of patient-centered care.
Your responsibilities will include:
- Establish and maintain a staging pipeline for usage/analytics data extracted from each web-based platform.
- Design and implement data verification and cleaning procedures for usage/analytics data.
- Generate research outputs relating to the analytical/exploratory methods used, including drafting of relevant manuscript sections and slides
Who We Are Looking For
We're looking for an adept candidate with strong data management skills, interdisciplinary collaboration experience, and a solid understanding of health data handling and governance. High-quality research output, organisational prowess, and effective communication are key, along with analytical problem-solving abilities and the knack for conveying technical information to diverse audiences.
You will also have:
- A PhD in data science or related discipline
- Demonstrated experience in use of real-world data
- A track record of applying data science methods to complex real world problems to gain novel and useful insights
For further information regarding responsibilities and requirements for Level A and Level B, please refer to the attached PD.
Please note: Visa sponsorship is not available for this position. This role requires current valid work rights for Australia.
Your New Team – School of Computing and Information Systems in FEIT
The Faculty of Engineering and Information Technology (FEIT) is a pioneer in Australian engineering and IT education and research, spanning over 150 years. Comprising diverse disciplines, attracting top talents and students globally, addressing global challenges through innovative solutions. Anchored in the Asia Pacific, FEIT's ten-year strategy, FEIT 2025, aligns with the University of Melbourne's Advancing Melbourne initiative, focusing on excellence, infrastructure, global talent, and student engagement to reinforce our world-class standing.
The School of Computing and Information Systems is an international research leader in computer science, information systems and software engineering. Focused on delivering impact in Artificial Intelligence, Computer Science, Human-Computer Interaction and Information Systems.
What We Offer You!
In addition, we offer the opportunity to be part of a vibrant community and enjoy a range of benefits, including generous leave provisions, salary packaging, health and well-being services and discounts on graduate courses. For more information, check out our benefits page!
About the University of Melbourne
We’re tightly connected with the community, both at home and abroad. 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 via our website and stay connected with our stories and people on LinkedIn.
The University of Melbourne values the unique backgrounds, experiences and contributions that each person brings to our community and welcomes and celebrates diversity. First Nations people, those identifying as LGBTQIA+, parents, carers, people of all ages, abilities and genders, and people of diverse ethnicity, nationality and faith are encouraged to apply. Our aim is to create a workforce that reflects the diversity of the community in which we live. For more information please visit our Diversity and Inclusion page.
We are dedicated to ensuring barrier free and inclusive practices to recruit the most talented candidates. If you require any reasonable adjustments with the recruitment process, please contact the email address listed at the bottom of the page.
Aboriginal and Torres Strait Islander Applicants
We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.
We recognise that reconciliation is central to our purpose. For more information, please visit our Reconciliation page.
If you feel this role is right for you, please apply with the following documents:
- 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 http://about.unimelb.edu.au/careers/selection-criteria
If you have any questions regarding the recruitment process, please feel free to contact Fahim Farzad via email at Faculties-TA@unimelb.edu.au, 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.
Applications close: 24 September 2023 11:55 PM Australian Eastern Standard Time (AEST)
Position Description: 0054454_PD_Digital Health Data Scientist.pdf