About the role#
As a PhD Co-op in the Electrophysiology (EP) business, you will support the Clinical Affairs organization by developing AI solutions and advanced predictive analytics. You will work with clinical trial, procedural, imaging, and outcomes data to generate evidence that supports future product innovation and scientific publication. This is a full-time, paid position based in St. Paul, Minnesota.
What you'll do#
- Design, train, and evaluate predictive models for clinical trial enrollment forecasting and clinical outcomes.
- Build data pipelines for harmonizing and curating diverse clinical and procedural datasets.
- Perform data quality assessments, feature engineering, and model-ready dataset creation.
- Integrate and analyze large multimodal datasets, including medical imaging, clinical records, adverse event data, and trial information.
- Apply statistical, predictive, and generative AI techniques to improve model accuracy.
- Collaborate with clinical scientists to identify meaningful research questions and endpoints.
- Prepare technical reports, presentations, and recommendations for cross-functional stakeholders.
- Support the development of scientific abstracts and publications.
What you'll need#
- Current enrollment in a Master's or PhD program in Computer Science, Bioinformatics, Computational Biology, Health Informatics, Engineering, or a related field (PhD candidates preferred).
- Advanced proficiency in Python.
- Experience with software development, version control, and code documentation.
- Familiarity with core machine learning concepts, statistics, and frameworks.
- Experience developing machine learning or advanced analytical models.
- Proficiency using Git and familiarity with shell-based or cloud development environments.
- Knowledge of statistical analysis, predictive modeling, and data mining.
- Experience managing and analyzing large datasets.
- Strong problem-solving abilities and an eagerness to research new AI technologies independently.
- Preferred experience includes R, SQL, MATLAB, or Julia, as well as deep learning, NLP, or generative AI libraries.
Location & details#
- Location: St. Paul, Minnesota (On-site).
- Term: Winter 2027.
- Pay: $17.85 - $35.75 per hour.
- Employment Type: Full-time.
About Abbott
Abbott operates in the healthcare sector with a focus on diagnostics, medical devices, nutrition, and branded generic medicines. The company maintains a global presence with employees serving in over 160 countries. It is a public company based in Abbott Park, Illinois. The organization employs more than 150,000 people.
How to get in at Abbott
Applying early at Abbott gives you a distinct advantage because recruiters review applications as they arrive before the candidate pool grows. Intern Insider sends an instant alert the moment a role matching your target is published, so you can submit your materials among the first. This helps you stay ahead of the crowd while others are still refreshing job boards. You can also improve your response rates by reaching out to the people actually managing the hiring process. Intern Insider surfaces the recruiters behind Abbott roles, allowing you to contact them directly to ask about the position or a referral. This direct approach often works better than waiting for a response from a general application queue.
