Data Scientist Jobs in Australia (No ghost jobs, direct from employers)

  • 28 companies
  • $76K median pay

Data scientist jobs across Australia, checked every hour. Pay where listed, posting age, company reviews and a ghost-job check on every posting.

34 jobs found

  • 14 hours agoLow ghost risk
    Telix PharmaceuticalsOn-siteMelbourne, State of Victoria$100K - 150KMid-level
  • 2 days agoLow ghost risk
    AllianzHybridSydney, State of New South Wales$100K - 150KMid-level
  • 3 days agoLow ghost risk
    FacultyOn-siteSydney, State of New South Wales$100K - 150KMid-level
  • 5 days agoLow ghost risk
    Wesfarmers LimitedOn-siteMelbourne VIC, Victoria$85K - 125KMid-level
  • 1 week agoModerate ghost risk
    ThiessHybridBrisbane, State of Queensland$85K - 120KMid-level
  • 3 days agoLow ghost risk
    Commonwealth BankOn-siteSydney, State of New South Wales$150K - 220KLead
  • 3 days agoLow ghost risk
    FacultyOn-siteSydney, State of New South Wales$120K - 180KSenior
  • 1 week agoLow ghost risk
    The University of QueenslandHybridSt Lucia Campus$72K - 79KMid-level
  • 6 days agoLow ghost risk
    Commonwealth BankOn-siteSydney, State of New South Wales$120K - 180KMid-level
  • 14 hours agoLow ghost risk
    The University of QueenslandOn-siteDutton Park$59K - 79KMid-level
  • 1 week agoLow ghost risk
    Commonwealth BankOn-siteSydney, State of New South Wales$120K - 180KSenior
  • 1 week agoLow ghost risk
    MuzzOn-siteAldgate, State of South Australia$53K - 60KSenior
  • 1 week agoModerate ghost risk
    H2O.aiHybridSydney, State of New South Wales$120K - 180KSenior
  • 1 week agoLow ghost risk
    MuzzOn-siteAldgate, State of South Australia$69K - 95KMid-level
  • 2 weeks agoLow ghost risk
    LinktreeOn-siteSydney, State of New South Wales$147K - 182KSenior
  • 2 days agoLow ghost risk
    Commonwealth BankHybridSydney, State of New South Wales$120K - 180KSenior
  • 2 days agoLow ghost risk
    Commonwealth BankHybridSydney, State of New South Wales$150K - 220KLead
  • 1 week agoLow ghost risk
    Commonwealth BankOn-siteSydney, State of New South Wales$120K - 180KSenior
  • 2 weeks agoLow ghost risk
    Fortescue Metals GroupOn-sitePerth, State of Western Australia$120K - 180KSenior
  • 2 days agoLow ghost risk
    Commonwealth BankOn-siteSydney, State of New South Wales$120K - 180KSenior

Data Scientist

Telix Pharmaceuticals

14 hours agoOn-siteMelbourne, State of Victoria$100K - 150KMid-level

Why this job matches

See how well your resume fits this job and what it is missing.

Telix Pharmaceuticals is a dynamic, fast-growing radiopharmaceutical company with offices in Australia (HQ), Belgium, Japan, Switzerland, and the United States. Our mission is to deliver on the promise of precision medicine through targeted radiation. At our core, we exist to create products that seek to improve the quality of life for people living with cancer and rare diseases. You will be supporting the international roll-out of our approved prostate cancer imaging agent and helping us to advance our portfolio of late clinical-stage products that address significant unmet need in oncology and rare diseases.

See Yourself at Telix

Telix is seeking a skilled and dynamic Data Scientist to contribute to the achievement of the Group's strategic goals by analysing and interpreting complex clinical and non-clinical data, including medical images, to develop predictive models using statistical and machine learning/deep learning techniques, in support of the Telix radiopharmaceutical portfolio. As a growth area of research and development for Telix, the candidate will have the opportunity to contribute to the strategic direction of the company's imaging and clinical decision support software platform, by developing new and novel models that utilise clinical data from the company's diagnostic imaging tracers as well as therapy products, and building a comprehensive suite of insight driven applications.

The Data Scientist will report to the Director of AI Research but will also work closely with the Global Director of Digital Products, Image management team, and Telix's internal research, clinical and project teams across multiple disciplines.

Key Accountabilities:

  • Analyze and interpret clinical data generated from Telix radiopharmaceuticals, including imaging (PET, SPECT), biomarker, and patient outcomes data, to inform clinical outcomes and decision making.
  • Work with cross-functional teams to integrate diverse data sources, including clinical trial data, medical imaging, and electronic health records, into cohesive datasets suitable for analysis.
  • Apply machine learning techniques, particularly using automated machine learning (AutoML) and/or "zero code" platforms, to analyze large-scale data from clinical studies, including image processing, diagnostic prediction, and personalized medicine algorithms.
  • Develop clear and informative visualizations to communicate data insights to both technical and non-technical stakeholders, including clinical teams, regulatory agencies, and senior management.
  • Ensure that all data science activities comply with industry standards and regulatory requirements (e.g., FDA, EU CE Mark), maintaining data integrity, privacy and security throughout.
  • Work with external collaborators, including nuclear medicine physicians, radiologists, and oncologists, to identify new opportunities for data science to improve patient care and treatment outcomes.
  • Assist pre-clinical and early-stage development teams to identify tools, predictive models and algorithms to discover relevant new targets and compounds and to assess their suitability, efficacy, safety, and pharmacokinetics of these radiopharmaceutical compounds for further development.
  • Collaborate with clinical teams to design trial protocols with data-driven insights and ensure that data collected is clean, valid, and ready for analysis. Incorporate data analysis and AI techniques into trial protocols that can improve efficiency and optimize recruitment and time-based analysis through predictive algorithms.
  • Maintain an awareness of the current literature and developments in the field to identify best industry practice and keep up with the state of the art.
  • Contribute to the Telix intellectual property (IP) portfolio through patents and publications.
  • Uphold and work in accordance to the Telix values.

Position Requirements:

Education and Experience:

  • Master's or PhD in a quantitative discipline (e.g. Data Science, Computer Science, Statistics, Bioinformatics, Computational Biology, Mathematics, Physics) or a related field is preferred.
  • 5 years of experience in data science, with a focus on clinical data analysis or biomedical applications, preferably in the pharmaceutical, biotechnology, or medical device industries.
  • Proficiency in programming languages such as Python (including Jupyter notebooks), R, MatLab and SQL.
  • Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and statistical modeling.
  • Strong analytical thinking and the ability to turn complex clinical and scientific data into actionable insights.
  • Experience with medical imaging data analysis (PET, CT, MRI, SPECT), and AI applications in radiopharmaceuticals or oncology.
  • Familiarity with clinical data management systems (e.g., Medidata, EDC platforms) and healthcare data standards (e.g., HL7, DICOM).
  • Understanding of clinical trial design, biomarkers, and the drug development process, particularly in the field of radiopharmaceuticals or oncology.
  • Awareness of FDA, EU CE Mark, and other regulatory requirements and guidelines related to medical devices (Software as a Medical Device - SaMD), clinical trial data analysis and reporting.
  • Experience with cloud platforms (e.g., AWS, Google Cloud) for data processing and storage.

Key Capabilities:

  • Inclusive mindset: Demonstrate an understanding and appreciation for diversity, and actively work to create an inclusive environment where everyone feels valued and respected
  • Creativity and innovation: Possess a willingness to think outside the box and come up with unique and creative solutions to challenges
  • Commitment to excellence: Take pride in your work and consistently strive for excellence in everything you do
  • Results-oriented: Driven to achieve goals and objectives, with a strong focus on delivering measurable results
  • Ethical behavior: Act with integrity and demonstrate a commitment to ethical behavior in all interactions with colleagues and stakeholders
  • Adaptability: Comfortable working in a dynamic environment, able to adjust to changing priorities, and willing to take on new challenges
  • Strong communication skills: Able to communicate effectively with colleagues and stakeholders at all levels, using clear and concise language
  • Collaboration: Work effectively as part of a team, actively sharing knowledge and expertise to achieve common goals
  • Resilience: Demonstrate the ability to bounce back from setbacks and persevere in the face of challenges
  • Continuous learning: Show a commitment to ongoing learning and professional development, continually seeking out opportunities to expand your knowledge and skills

At Telix, we believe everyone counts, we strive to be extraordinary, and we pursue our goals with determination and integrity. You will be part of an engaged and supportive group of colleagues who all have a shared purpose: to help people with cancer and rare diseases live longer, better quality lives. Being a Telix employee means being a part of a unique, global, interdisciplinary team working to deliver what's next in precision medicine. We have hybrid and remote employees located all around the world.  We offer competitive salaries, annual performance-based bonuses, an equity-based incentive program, generous vacation, paid wellness days and support for learning and development.

Telix Pharmaceuticals is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

VIEW OUR PRIVACY POLICY HERE

Company Reviews

Employee reviews

3.4

37 Reviews
  • 519 %
  • 431 %
  • 319 %
  • 26 %
  • 125 %
  • Poor Leadership
    2026-03-04T17:04:25.693

    Pros: Remote company; great peer group.

    Cons: Inexperienced Sr leadership. Lack of cohesive strategy; “yes” people at CEO Staff level that don’t speak up and take accountability. Avg tenure below 2 yrs and HR is proud of that

  • Great place of work
    2026-02-15T22:23:07.087

    Pros: Good manager Great colleagues And amazing offices

    Cons: None just a great experience overall

  • Great place to work remotely
    2026-02-11T11:30:44.643

    Pros: growth, good compensation, highly regulated

    Cons: super fast-paced, some micromanaging, poor job security

Frequently asked questions about data scientist jobs in Australia

What is a ghost job?

A ghost job is a posting for a role the company isn't actively hiring for. Some stay up after the company fills the role. Others collect resumes for an opening that may never come.

You spend an evening tailoring an application, and nobody on the other side is looking for you.

What do data scientist jobs in Australia pay?

Across the postings here that list pay, the median is about $76,000 a year (in US dollars). About 3 in 10 of these postings list a pay range; the rest show an estimate, marked as one.

How many data scientist jobs in Australia are there?

At our last count there were 35 open postings from 28 employers. The list on this page is live, so the count above it is the current one.

How does Enhancv spot a ghost job?

Every posting goes through five checks: how long it has been up, whether a salary is posted, what employees say about the company, how specific the description is and whether it lists real requirements. Each job shows the checks it passed and the ones it didn't.

How fresh are the job postings?

Enhancv checks postings every hour, and every job shows how long ago it went up. Most hires happen within 30 days of posting. A listing that's been open for two months raises its ghost job risk.