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Data Science Intern

CFF13 open roles

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Bethesda, MD - National Headquarters
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Your applicationOpen nowData Science InternCFF · Bethesda, MD - National Headquarters
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Early applications get read.

9.8% of postings close within 7 days. Measured by our own scanner across the market. CFF postings stay open a median of 4 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 9.8%7 days
  4. 15.5%14 days
  5. 33.7%30 days
This job: posted today

CFF median: 4 days open

The posting

The Cystic Fibrosis Foundation is a leading healthcare nonprofit organization like no other. For decades, we have been taking major steps and pioneering new ways to advance the mission to find a cure for cystic fibrosis and to provide all people with CF the opportunity to lead long, fulfilling lives by funding research and drug development, partnering with the CF community, and advancing high-quality, specialized care.

By joining the Cystic Fibrosis Foundation, you will be part of a dedicated team committed to our core values and working towards a cure for cystic fibrosis. We offer a collaborative and supportive work environment, opportunities for professional growth, and the chance to make a meaningful impact in the lives of those affected by CF. Learn more about why work at the Cystic Fibrosis Foundation.

Position Summary:

The Data Science Intern supports the Investments Team with the oversight and management of the Cystic Fibrosis Foundation’s $5 billion investment portfolio by building AI agents and data-driven tools. The Internship is centered around learning, development, and collaboration with the Investments Team. The Intern assists in designing, prototyping, and testing agents and automated workflows that support the total investment program, executing the investment strategy, and researching new investment opportunities.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Help design, build, and test AI agents and automated workflows that support investment manager diligence, monitoring, and reporting.
  • Aggregate, clean, and standardize data from managers, custodians, market data providers, and internal files into Investment Team databases and data pipelines that power agents and reporting.
  • Support IT to document requirements and help design, test, and implement a centralized investment data warehouse, including data models, definitions, and quality checks.
  • Support research on investment strategies, sectors, and markets, using data and AI tools to inform the Investment Team.
  • Test and evaluate agent outputs for accuracy and reliability, and document workflows, data sources, and results.
  • Assist with manager meetings’ note, summarization, and storage during existing and prospective manager meetings.
  • Complete a summer project and present results and next steps to the Investment Team.

KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

  • Rising sophomores & juniors working toward a four-year college degree in data science, statistics, computer science, information systems, economics, finance, or a related field.
  • Programming experience (Python preferred) and working knowledge of SQL, familiarity with APIs, data cleaning and transformation, and visualization tools such as Tableau or PowerBI.
  • Exposure to database design, data warehousing, or cloud data platforms (e.g. Snoflake, Azure, etc.) is a plus.
  • Hands on experience with or strong interest in large language models, prompt design, and AI agent frameworks.
  • Ability to work collaboratively with team members to accomplish objectives.
  • Ability to prepare well-written, organized material and present recommendations in a clear and concise manner.
  • Ability to analyze and synthesize information and data.
  • Ability and interest in researching and uncovering new insights.
  • Strong attention to detail and a commitment to data accuracy and integrity.
  • Ability to communicate effectively and foster deep relationships.
  • Proficiency with Microsoft Word, Excel, and PowerPoint.

WHAT YOU WILL LEARN DURING THE INTERNSHIP:

  • Basics of endowment and foundation investing.
  • Fundamentals of asset allocation and portfolio management.
  • Introduction to multiple investment asset classes.
  • How investment data is sourced, structured, and used for portfolio monitoring and reporting.
  • Exposure to investment opportunities across sectors and geographies.
  • Building and evaluating AI agents.

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities or requirements.

This position will be posted for a minimum of 5 days or until the position is filled. Applications will be accepted on an ongoing basis, so candidates are encouraged to apply promptly if interested.

Total Rewards: The CF Foundation is committed to offering competitive compensation (base pay and incentive), benefits, time off and professional development opportunities that maximize our ability to recruit, retain, reward, and motivate a highly qualified and diverse workforce. Visit our Why Work at the Cystic Fibrosis Foundation for detailed total rewards information.

The CF Foundation is an equal opportunity employer that is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. We strive to recruit and maintain a diverse workforce. Qualified applicants will receive consideration for employment without regard to race, physical or mental disability, color, religious creed, ancestry, national origin, religion, age, sex, pregnancy, marital status, genetic information or testing, gender identity and expression, sexual orientation or status as a Vietnam-era or special disabled veteran or any characteristic protected by law.

Reasonable Accommodations: The CF Foundation is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or would like to request an accommodation due to a disability, please contact us at [email protected].

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