Senior Research Software Engineer, Python Specialist
- Canberra, ACT
- $109,945-117,567 per year
- Permanent
- Full-time
Salary package: $109,945 - $117,567 per annum plus 17% superannuation
Term: Full-time, Fixed term (up to 2 years)
- Flexible working arrangements to encourage a healthy work/life balance, including consideration of part-time roles and remote work.
- Exceptional workplace culture with a supportive, diverse and inclusive team.
- Great work location with world-class staff amenities including gyms, swimming pool, childcare centres, etc.
- Excellent remuneration and conditions, including 17% superannuation contributions, annual leave loading and a range of benefits
- Collaborate with cross-functional teams to understand requirements and translate them into technical specifications.
- Design and develop scalable, efficient, and maintainable Python code for data analysis and processing.
- Implement algorithms for statistical analysis, machine learning, and predictive modelling.
- Create data visualisation tools and techniques to present complex information in a clear and intuitive manner.
- Optimise code performance and reliability through testing, debugging, and refactoring.
- Stay up to date with the latest developments in Python, data science, and related technologies.
- Proven experience (+3 years) as a Python Developer, with a focus on data analysis and scientific computing.
- Strong proficiency in Python and libraries such as NumPy, Pandas, SciPy, and Matplotlib.
- Solid understanding of data structures, algorithms, and software design principles.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently and collaboratively in a fast-paced environment.
- Effective communication skills and the ability to explain technical concepts to non-technical stakeholders.
- Commitment to a safe, inclusive and respectful workplace environment.
- Passionate about working in an organisation that values and promotes diversity, equity, inclusion and wellbeing.
- Master's or PhD in Computer Science, Mathematics, Statistics, Physics, Earth Sciences or related field.
- Linux/Unix experience.
- Experience with low-level scientific programming languages (e.g., Fortran, C)
- Familiar with high-performance and/or cloud computing platforms.
- Familiarity with version control systems such as Git.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience working with geospatial data formats, standards and tools. (e.g., GIS, Python)
- A statement addressing the selection criteria.
- A current curriculum vitae (CV) which includes the names and contact details of at least two referees (preferably including a current or previous supervisor). If your CV does not include referees, you can complete these online when prompted in the application form.
- Other documents, if required.
EURAXESS