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AusSRC Senior Project Scientist
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Inter-University Institute for Data Intensive Astronomy (IDIA)
Data Scientist
June 19, 2026 – Present
MVF2MS
March 18, 2024 – March 18, 2024
MS pulling workflow to continually attempt to pull MeerKAT MS data from SARAO archive
View Projectidia-container-casa-6
September 1, 2020 – Present
idia-container-casa-6 — GitHub repository
View Projectsoftware
April 30, 2020 – Present
Place to keep ansible scripts and recipes to build the software we put in `/software`
View Projectfrocc
December 13, 2019 – April 17, 2024
Repo to hold all the analysis and cube generation script for MIGHTEE-pol
View ProjectiDaVIE
September 6, 2018 – Present
immersive Data Visualisation Interactive Explorer (iDaVIE). The specific goal of iDaVIE is to enable the interrogation of 3D data using virtual reality technology.
View ProjectASKAP-continuum-validation
August 14, 2017 – May 19, 2025
A script to take an ASKAP continuum image and produce a validation report in html, which summarises several validation tests/metrics (e.g. astrometry, flux scale, source counts, etc) and whether the data passed or failed these tests.
View Projectidia-pipelines.github.io
July 16, 2017 – September 13, 2023
Site and Wiki for the IDIA Pipelines Project.
View Projectcaracal
May 15, 2017 – Present
Containerized Automated Radio Astronomy Calibration (CARACal) pipeline
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on scientific research and data processing within the astronomy domain. While this demonstrates deep expertise in a specific niche, the breadth of projects outside this domain is limited. This specialization might indicate a strong fit for research-oriented data science roles but could be a less direct fit for more general industry data science positions requiring broader domain experience. The current role as a Data Scientist at a research institute aligns well with a research-focused cultural environment.
Soft Skills & Operational Fit
The candidate's project portfolio suggests a strong inclination towards problem-solving and developing practical solutions for scientific data challenges. The diversity of tools and technologies used across projects indicates adaptability and a proactive approach to learning. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, communication, or stress handling.