Research Fellow: simulation modelling of preventive interventions

Job no: 0062201
Location: Parkville
Role type:Full-time/Part-time; Continuing / Fixed-term for 24 months
Faculty:Faculty of Medicine, Dentistry and Health Sciences
Department/School:Melbourne School of Population and Global Health
Salary:Level A– $80,258 – $108,906 p.a. plus 17% super

• Lead simulation modeling for the SHINE Program at the Population Interventions Unit.
• Opportunity to shape health policy through innovative intersection of epidemiology and economics.
• 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
The Research Fellow role at the University of Melbourne's Population Interventions Unit focuses on building, evolving, and maintaining simulation models within the Scalable Health Intervention Evaluation (SHINE) Program. This position requires expertise in computer science or a related field to synthesize data inputs into policy-relevant information for decision-making on preventive health interventions. The ideal candidate, reporting to Dr. Tim Wilson, will possess a PhD qualification, strong communication skills, and experience in simulation modelling or related fields.

Your responsibilities will include:

• Build, maintain and run proportional multistate lifetable simulation models in Python
• As requested and practicable build, maintain and run other simulation models (e.g. Markov, agent-based) in Python, RUST and other computing languages
• Validation and calibration of simulation models
• Analyses of already collected data to generate inputs to simulation models (e.g. regression analyses on survey data)

Who We Are Looking For
You will excel in this role with your strong analytical and problem-solving skills, along with a proven ability to work both independently and collaboratively to achieve project goals and meet deadlines. Your effective communication skills, coupled with attention to detail and a commitment to thorough documentation, ensure clarity. Additionally, your curiosity and dedication to documenting code enhance your contributions to the team.

You will also have:

• A PhD or near completion of PhD in computer or data science (or closely related discipline (e.g. mathematics), with a strong ability to rapidly upskill in computer simulation modelling)
• Proven ability to work independently and collaboratively in a team to achieve project goals and meet deadlines.
• Experience using at least one statistical and/or programming language (e.g. R, STATA, Python).
• Experience using Microsoft Excel.

For further information regarding responsibilities and requirements, 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 – Melbourne School of Population and Global Health
The Melbourne School of Population and Global Health (MSPGH) stands as a beacon of excellence in public health, driving impactful change both locally and globally since its establishment in 2001. With a commitment to advancing health equity and Indigenous wellbeing, MSPGH attracts top-tier researchers and students, fostering a dynamic environment of innovation and collaboration. From pioneering research published in prestigious journals to extensive international partnerships, MSPGH is at the forefront of shaping the future of public health education, research, and practice.

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.

Be Yourself
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 reasonable adjustments, please contact Kim Groizard at [email protected], with an email containing your name and contact details for a confidential discussion. Please ensure your email is titled "Reasonable Adjustments Request".

Aboriginal 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 our 2023-2027 Indigenous strategy please visit -https://about.unimelb.edu.au/reconciliation/murmuk-djerring

Join Us!
If you feel this role is right for you, please apply with 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 http://about.unimelb.edu.au/careers/selection-criteria

If you have any questions regarding the recruitment process, please feel free to contact Walid Abdullatif via email at [email protected], 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.