Clinical Research Data Science Intern

The Clinical Research Data Science Intern (Remote) plays a critical role in leveraging machine

learning and predictive analytics to support the mission of the Kiona Foundation. This volunteer

position offers a unique opportunity to contribute to impactful pediatric cancer research by

building data-driven models, analyzing clinical datasets, and uncovering insights that inform early

detection and treatment strategies. Interns in this role collaborate with a dedicated team of

clinicians and researchers to advance the Foundation’s strategic priorities in patient care, family

support, and community health innovation.

Time Commitment

Expected commitment is 5-7 hrs/week, with flexibility based on availability and project needs. This

is a remote volunteer position unless otherwise specified.

Key Responsibilities

* Collaborate on clinical studies such as the ECS Deficiency Study and Andre’s Blend trial by

managing participant onboarding and tracking progress through structured data pipelines.

* Integrate and monitor biometric and survey data submissions via digital platforms like

OnTracka to support real-time analytics and modeling efforts.

* Collect, clean, and de-identify clinical datasets to ensure data privacy and research

integrity for downstream machine learning applications.

* Assist the Principal Investigator and co-investigators with literature reviews, regulatory

compliance tracking, and milestone reporting, contributing to data-informed decision-

making and study design optimization.

Minimum Qualifications

* Proficiency in Python for data analysis and machine learning, including libraries such as

pandas, NumPy, and scikit-learn

* Experience with data preprocessing, feature engineering, and model evaluation

* Ability to analyze and interpret clinical or healthcare datasets while maintaining data

privacy and confidentiality

* Strong analytical and problem-solving skills with attention to detail * Effective verbal and written communication skills to present findings clearly to both

technical and non-technical audiences

* Demonstrated interest in clinical research, public health, or healthcare innovation

Preferred Qualifications

* Hands-on experience with predictive modeling (e.g., logistic regression, decision trees,

neural networks) on clinical or biomedical datasets

* Familiarity with electronic health records (EHR), biometric tools, or platforms like OnTracka

* Experience supporting IRB processes, performing literature reviews, or tracking study

milestones

* Familiarity with SQL or cloud platforms (e.g., AWS, GCP) for managing and analyzing

research data

* Passion for contributing to pediatric cancer research and community health initiatives.

Benefits of Volunteering

* Acquire practical experience in a mission-driven nonprofit organization dedicated to

improving outcomes for children and families affected by cancer.

* Make meaningful contributions to impactful clinical research and community initiatives.

* Develop professional relationships and receive mentorship from experienced professionals

in research, fundraising, and nonprofit leadership.

* Letters of recommendation and verification of service hours will be provided upon request.

CAUSE AREAS

Computers & Technology, Health & Medicine, Scientific Research, Data Science.

WHEN

We offer flexible scheduling to accommodate your availability.

* Weekdays - Daytime and Evening

* Weekends - Daytime and Evening

WHERE

This is a fully remote opportunity with no fixed address.