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Impiricus

Intern- BI & Analytics

Sorry, this job was removed at 11:08 a.m. (PST) on Wednesday, Apr 22, 2026
Remote
Hiring Remotely in USA
Remote
Hiring Remotely in USA

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Department: Development

Location: Remote

 

Who We Are

Impiricus is the first and only AI-powered HCP Engagement Engine. In 2025, Deloitte named Impiricus the #1 fastest growing company in North America for their prestigious Fast 500 list. Founded by a practicing physician and a senior pharmaceutical executive, Impiricus was created to transform how life sciences companies support physicians. We ethically connect HCPs to pharma resources, reduce go-to-market costs and accelerate patient access to the treatments they need.

With our unique access to the largest opted-in network of HCPs, their insights, and clinical expertise, we are the leading provider of AI technology and real-time channels that life science companies need to deliver clear, reliable, and evidence-based resources directly into the hands of HCPs. Guided by a council of 2000+ trusted HCP advisors, we ensure every interaction is clinically meaningful, ethically grounded and leads to better patient care.

About the Role

We are looking for a driven, highly proactive BI & Analytics Intern to join our team. In this role, you will be instrumental in making our data accessible and actionable by designing, building, and optimizing interactive dashboards in Sigma. You will work directly with our data stack to transform complex datasets into clear visual insights, leveraging your skills in SQL and Python.

Key Responsibilities
  • Design, develop, and maintain dynamic data visualizations and dashboards using Sigma.
  • Write, review, and optimize SQL queries to extract and transform data for reporting.
  • Utilize Python for data manipulation, scripting, and automating repetitive tasks.
  • Actively leverage AI tools (e.g., LLMs, coding copilots) to accelerate development, troubleshoot code, and improve daily workflows.
  • Collaborate with the data team to understand business requirements and translate them into technical solutions.
Qualifications
  • Experience: Previous internship, academic coursework, or strong project portfolio demonstrating practical experience with SQL and Python.
  • Data Visualization: Hands-on experience with BI platforms (Sigma, Tableau, Looker, Power BI, etc.). Specific experience with Sigma is a major plus.
  • Education: Currently enrolled in or recently graduated from a degree program in Computer Science, Data Science, Information Systems, or a related quantitative field.
Key Traits & Culture
  • High Agency: You do not wait to be told what to do. You are a self-starter who identifies bottlenecks, proposes solutions, and executes autonomously in an ambiguous environment.
  • AI-Forward: You are highly comfortable and experienced with using AI tools to enhance your productivity and problem-solving capabilities.
  • Curiosity: A strong desire to learn modern data stack technologies and dive deep into complex business problems.
Compensation:

This is a paid internship with an hourly rate of $25, with interns working up to 40 hours per week.

The program runs for 8 weeks.

 June 15, 2026 through August 7, 2026

Important Notice

To protect candidates, please note that all communication from our team will come directly from an @impiricus.com email address. We do not engage third party recruiters to schedule interviews for this role. If you receive outreach from anyone outside of our domain claiming to represent Impiricus, please disregard and let us know by forwarding the message to [email protected]

Impiricus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


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