2026 Summer Intern | Clinical Data Science

Ionis•Carlsbad, CA

15d•$18 - $23

About The Position

Headquartered in Carlsbad, California, and with offices in Boston, Massachusetts, and Dublin, Ireland, Ionis has been at work for more than three decades discovering medical breakthroughs that have redefined life for people with serious diseases. We’re pioneers in RNA-targeted medicines, and our platform continues to revolutionize drug discovery and transform lives for patients with unmet needs. With multiple marketed medicines and a leading pipeline in neurology, cardiology and select areas of high patient needs, we continue to drive innovation in RNA therapies in addition to advancing new approaches in gene editing to provide greater value to patients and are well positioned financially to deliver on our strategic goals. At Ionis, we pride ourselves on cultivating a challenging, motivating and rewarding environment that fosters innovation and scientific excellence. We know that our success is a direct result of the exceptional talents and dedication of our employees. With an unprecedented opportunity to change the course of human health, we look to add diverse individuals, skill sets and perspectives to our exceptional team. We continue to invest time, money and energy into making our onsite, hybrid and remote work environments a place where solid and lasting relationships are built and where our culture and employees can thrive. We’re building on our rich history, and we believe our greatest achievements are ahead of us. If you’re passionate about the opportunity to have meaningful impact on patients in need, we invite you to apply and join us. Experience and contribute to our unique culture while you develop and expand your career! Clinical Data Science Summary: The Clinical Data Science (CDS) Intern is responsible for supporting the Data Manager and Clinical Programmer. The intern follows standard policies and procedures for supporting CDS in gathering, analyzing, and reporting clinical data for clinical trials that are conducted in compliance with Good Clinical Practice (GCP) and regulatory requirements. This internship is structured to provide exposure to both functional areas, with the first portion focused on clinical data management activities and the second portion focused on clinical programming and analytical support.

Requirements

Currently enrolled university student pursuing a Bachelor’s Degree (BA/BS) in STEM (Science, Technology, Engineering, and Math)
Experience with programming languages, preferably with Python or R
Proficiency in MS Office including Word, Excel, and PowerPoint required
MUST be currently enrolled in a U.S. Undergraduate and/or Graduate Degree Program and not graduating prior to the completion of the Ionis internship.
MUST be able to begin internship between 6/8 and 8/14/2026.
MUST be able and willing to remain in program through at least 8/14/2026.
MUST be able and willing to commit to a minimum 40-hour work week.
PLEASE INCLUDE A COVER LETTER RELEVANT TO THE POSITION APPLYING FOR.

Responsibilities

Supports the Data Manager and Clinical Programmer within the clinical study
As directed by the Data Manager, supports data management activities such as database development and data reconciliation.
As directed by the Data Manager, drafts study related documents and plans (e.g., specifications for clinical data listings and data reconciliation programs, User Acceptance Testing Plan, Data Transfer Agreement)
As directed by the Data Manager, supports ongoing data management activities including creating and distributing clinical study metrics, receipt and reconciliation of external clinical data, QC of programmed clinical data listings.
As directed by the Clinical Programmer, works with the programming team to understand clinical programming processes and standards used to support clinical data deliverables.
As directed by the Clinical Programmer, assists in the development and evaluation of a model (e.g., machine learning or analytical model) intended to support the Clinical Data Science team’s processes and decision-making.
Documents programming workflows, assumptions, and model development details related to the project to support knowledge sharing and future maintenance.