Applied Data Scientist: Medical Imaging & Clinical Data

Intodna S.A; Kraków; On-site; PLN 140,000 - 220,000; Full time

Benefits offered by this job

Stock options

Private healthcare

On-site gym

Job summary

intoDNA S.A. is seeking an Applied Data Scientist to lead quantitative analyses for STRIDE, our platform for direct DNA damage detection.

You will own analyses for live clinical and internal projects, developing new methods when existing approaches don’t fit, and collaborating with Project Owners and clients. You will work on complex endpoints, tissue samples, and multi-parameter readouts, applying advanced statistics and machine learning where appropriate, and mentoring other analysts in a

Qualifications

• Master’s or PhD in a quantitative or life science field with strong quantitative component.
• Around 3+ years of hands-on quantitative analysis of microscopy or biomedical imaging data in industry or research.
• Strong Python for full analysis workflow (pandas, NumPy, SciPy, scikit-image, matplotlib/seaborn) and Git for version control.
• Advanced applied statistics beyond t-tests/ANOVA: experimental design, power/sample size, hierarchical models, multiple comparisons, effect sizes.
• Proven experience developing and validating a new analysis method from scratch.
• Experience with fluorescence/confocal microscopy and 3D image stacks; image segmentation/feature extraction.
• Ability to translate biological questions into analysis plans and communicate results clearly.
• Ability to manage multiple projects and priorities; able to say when something is not achievable.
• Proficient in English (written and spoken).

Responsibilities

• Own the analytically demanding end of projects: non-standard endpoints, novel readouts, complex designs, multi-parameter analyses, tissue samples.
• Lead analytical workstream of clinical projects by integrating STRIDE readouts with patient outcome data.
• Advise on study scope, endpoints, and sample sizes; interpret what data can conclude.
• Apply robust statistics to structured data and produce publication-quality figures and client-ready reports.
• Develop and validate new analysis methods and metrics with clear documentation.
• Collaborate with Data Scientists to turn methods into permanent platform features.
• Serve as escalation point for analytical questions and mentor junior analysts.

Skills

Python ecosystem

Advanced statistics

Microscopy data analysis

Data wrangling

Scientific communication

Git version control

Education

Master’s or PhD in quantitative or life sciences

Tools

Jupyter

Git

AWS

scikit-image

scikit-learn

Job description

intoDNA S.A. is seeking an Applied Data Scientist to lead quantitative analyses for STRIDE, our platform for direct DNA damage detection.

You will own analyses for live clinical and internal projects, developing new methods when existing approaches don’t fit, and collaborating with Project Owners and clients. You will work on complex endpoints, tissue samples, and multi-parameter readouts, applying advanced statistics and machine learning where appropriate, and mentoring other analysts in a