About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Healthcare & Medical Research.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Assistant Data Scientist - Radiation Physics (Research) — you'll apply data science methods to radiation physics research projects that support clinical and translational work.

• Support radiation physics and radiation oncology research by analyzing experimental and clinical datasets.
• Design, train, validate, and deploy statistical and machine learning models to address problems in imaging, dosimetry, treatment planning, and outcome modeling.
• Clean, preprocess, and integrate heterogeneous data (imaging, device logs, clinical metrics) to create reproducible datasets.
• Build reproducible analysis pipelines, documentation, and versioned code; enable reproducible research.
• Collaborate closely with medical physicists, clinicians, engineers, and research staff to translate technical results into practical research outcomes.
• Present results in written reports and at team meetings; contribute to manuscripts, grant proposals, and technical documentation.

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What We’re Looking For (Minimum Qualifications)

• Bachelor’s or Master’s degree in Physics, Medical Physics, Data Science, Computer Science, Statistics, Engineering, or a related quantitative field.
• Demonstrated experience with data analysis and statistical methods in a research context.
• Familiarity with machine learning fundamentals and standard evaluation techniques.
• Strong problem-solving skills and the ability to communicate technical results to non-technical collaborators.
• Authorization to work in the U.S. (if applicable) and ability to work onsite in Houston, TX as required.

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Preferred Qualifications

• Experience or coursework in radiation physics, medical imaging, dosimetry, or radiation therapy research.
• Practical experience with programming for data science (Python, R, or similar) and common libraries for ML and data processing.
• Experience working with clinical or imaging datasets, and an understanding of data privacy and handling sensitive health data.
• Experience contributing to peer-reviewed research, technical reports, or scientific presentations.

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Key Skills & Tools

• Applied statistics and machine learning for research.
• Data wrangling, reproducible pipelines, and version control.
• Collaboration across multidisciplinary research teams.
• Clear written and verbal technical communication.

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Location & Schedule

• Location: Houston, TX (on-site research environment; use authoritative location listed in this posting).
• Employment Type: Full-time; entry-level to early-career level.

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Why Join

• Work on meaningful research that supports improvements in cancer care and radiation therapy.
• Collaborate with clinicians, medical physicists, and researchers in a multidisciplinary environment.
• Gain hands-on experience applying data science to healthcare challenges and research studies.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.