Data Scientist Health Intern

Are you a current student seeking a valuable internship opportunity in the realm of Data Science? If you’re thinking about a career in data science, technology, clinical analytics, look no more.

Do you have a curiosity mindset, a collaborative nature, and a passion for solving interesting problems?

About The Team

Elsevier Health applies innovation, facilitates insights, and helps drive more informed decision-making for our customers across global health. We support health providers by providing accessible, trusted evidence-based information; prepare more medical and nursing students with effective tools and resources; provide insights that help clinicians improve patient outcomes; and supports a more personalized and localized healthcare experience. All for the benefit of every patient.

About the Role

This internship is part of the Rising TIDE program. Elsevier created its Rising TIDE (Tomorrow, Inclusion, Diversity and Equity) internship program to foster inclusion and diversity as well as provide individuals with work experience in the corporate world so that we can develop a pipeline of talent for entry-level individuals for post-graduation opportunities. 

As a Data Scientist Health Intern, you will participate in the full project cycle, including researching methods, designing, coding, running experiments, and validating systems. You will collaborate with data scientists to identify market signals, analyze large datasets, build and test models, and create strategies. During the program, you will work on two projects, closely mentored by full-time employees. Projects may involve big-picture questions or building new tools. This experience will help you understand diverse research challenges, from analyzing noisy datasets to building models for market signal identification.

This is a remote or home-based role that can be open to various locations in the eastern and central time zones.

Duration: 10 weeks starting June 3, 2025, through August 8, 2025.

Candidates are required to apply with both a resume and cover letter to be considered for the Rising Tide Internship.

Responsibilities

• Analyzing large datasets including cleaning, processing, and analyzing data to extract meaningful insights.

• Building predictive models and testing their accuracy and effectiveness.

• Assisting with the creation of new strategies to address business challenges or opportunities.

• Writing code to implement models and strategies, debug technical problems, and document improvements.

• Making an impact by delivering features, refactoring existing code, and actively maintaining and extending our current systems.

• Working closely with other developers and stakeholders to learn and understand our goals and workflows, your tasks, and our agile-based development approach.

Requirements

• Be a current student pursuing a bachelor's or masters in a related field (i.e., computer science, data science, computational biology, bioinformatics, computational linguistics, physics, mathematics, statistics, etc.) and graduating May 2026 or later.

• Proven hands-on development experience in relevant implementation platforms for ML/NLP tasks, with a strong proficiency in Python (preferred), SQL, and R.

• Demonstrate experience or keen interest in working with "big data" and applying advanced algorithms specifically within the Health Sciences domain.

• Be familiar with Unix systems, open-source software, Jupyter Notebook hubs, libraries, and cloud computing environments.

• Be proficient in supervised and unsupervised learning, with expertise in model building, validation, and testing using state-of-the-art ML algorithms (i.e., Random Forest, SVM, Logistic Regression, Bayesian modeling).

• Display experience in building and deploying deep learning models, neural networks, and advanced transformer language models, with particular emphasis on generative AI techniques such as GPT and Claude, is advantageous.

• Possess the ability to collaborate effectively with various stakeholders and convey complex technical concepts to non-technical professionals through solid communication and documentation skills.

• Adopt pragmatic approaches when choosing and implementing the right technologies to solve problems and develop with success metrics.

About the Business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Salary Range

$28/hour for undergraduate students
$30/ hour for graduate students

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