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Key Responsibilities

• Collaborate closely with Orakl’s biologists to build and improve data ingestion workflows, including automated error-detection pipelines and multimodal data integration.
• Analyze wet-lab–generated data to guide experimental decisions, applying statistical methods to quantify the impact of experimental conditions on data quality and reproducibility.
• Develop and maintain internal tools (dashboards or web applications) that make wet-lab data accessible and actionable for cross-functional teams.

Minimum Qualifications

• BSc, MSc, MEng, or equivalent degree in statistics, machine learning, data science, or a related field.
• Prior professional experience using Python, with familiarity with modern development tools and environments (GitHub, AWS/GCP).
• Strong foundation in applied statistics for experimental data (e.g., variability analysis, hypothesis testing, drift detection).
• Hands-on, curious, and autonomous, with the ability to navigate fast-paced and ambiguous environments.
• Genuine interest in the intersection of data and biology.
• Proficiency in English.

Preferred Qualifications

• Experience with data pipelines, ETL processes, or workflow orchestration frameworks (Airflow, Prefect, or similar).
• Proficiency with data visualization or dashboarding tools (e.g., matplotlib, Plotly, Streamlit, Dash).
• Prior exposure to biological, experimental, or multimodal data.
• HR Call (15 minutes call) – An initial discussion to better understand your background, experiences, and motivations.
• Technical Interview (45 minutes call) – A deep dive into your technical skills and expertise relevant to the role.
• Founder Interview: As final step of our recruitment process, you will meet the CTO of Orakl Oncology in person at our office. This meeting is an opportunity for the founders to assess cultural fit and ensure alignment with our company values.