Clinical Informatics and Data Science Intern (Remote)

Key Skills

Cloud computing, Data science techniques, Docker, Machine learning techniques, Python Programming, R Programming, SQL

Job Description

Are you ready for the fight? A ‘Freenomer’ is a mission-driven employee who is fueled by the opportunity to make a positive impact on patients' lives, who thrive in a culture of respect and cross collaboration, and whose work makes a significant impact on the company and their career. Freenomers are determined, patient-centric, and outcomes-driven. We build teams around divergent expertise, allowing us to solve problems and ascertain opportunities in unique ways. We are dedicated to advancing healthcare, one breakthrough at a time.

About Our Summer 2023 Internship Program

Our interns provide valuable support and fresh perspectives to our teams as we work toward setting a new direction in the fight against cancer.

This is a 10-week program, designed to provide impactful work and foster an environment for learning and professional development through mentorship and networking opportunities. Throughout the program, our interns will be empowered to drive key projects with real business outcomes. This is a highly cross-functional and personalized program, offering guidance and support from our Hiring Managers and assigned mentors.

Please note:

Our program is intended to begin mid-June and end mid-late August. The working hours for this role are 9am-5pm Pacific Time, with some flexibility determined by the Hiring Manager and leadership team. This position is open to remote within the US or onsite at our headquarters in South San Francisco.

About this opportunity:

At Freenome, your work will lead to developing cutting-edge technology to support our mission of early detection and intervention in human disease. The Clinical Informatics & Data Science team leads the clinical data management, tracking, and analysis. We gather key insights from clinical data to ensure that the trial progress is healthy, trial quality meets FDA requirements, and the overall trial meets the study goals. 

This internship will have a focus in data analysis and visualization, and additionally will provide you with exposure to the cross-functional activities of clinical trials across different projects, and opportunities to learn the rationale behind the clinical data collection. This is a great opportunity for a proactive individual looking for a hands-on, meaningful learning experience in a fast-paced and collaborative team. This role reports to the Director Clinical Informatics and Data Science.

What you’ll do:

You will be assigned a project to own and drive for the duration of the internship. Additionally, you will support various data cleaning tasks and projects that improve existing pipelines. These other tasks and projects may include: 

• Working with teammates to build a testing instance for the data visualization pipeline.
• Improving the existing data visualization pipeline to make it fast and robust.
• Cleaning and organizing clinical study data and generating summary reports.

Must haves:

• Currently a junior or above in a Bachelor’s, Master’s or PhD program for Clinical Informatics, Bioinformatics, Data Science, Statistics, Computer Science or other relevant scientific fields
• Or alternatively, within one year post graduation.
• Proficiency in Python and R.
• Experience building pipelines and using visualization packages in Python and R.
• Familiarity with Docker.