(2028 Bachelor's/Master's graduates) Data Analytics Consulting Analyst/Associate Intern (Summer 2027)
About The Position
Charles River Associates (CRA) is a global consulting firm providing economic, financial, and business management expertise. They advise clients on economic and financial matters related to litigation and regulatory proceedings, and assist corporations with business strategy and performance issues. CRA is known for its industry experience and rigorous, fact-based analysis to provide clear, implementable solutions. The Life Sciences/Analytics team specifically applies advanced analytics to offer insights and recommendations. This internship program mirrors the analyst experience, allowing interns to understand the business and engage in project work. Interns will collaborate with senior colleagues on client projects, benefit from professional development and wellness programs, and participate in social events within a collegial work environment. Successful interns may be offered a full-time position upon graduation.
Requirements
- Bachelor’s or Master’s (non-MBA) degree candidates graduating December 2027/Summer 2028 with a related academic focus (Computer Science and Engineering, Data Science, Statistics, Biostatistics, Mathematics, Operations Research, Management Information Systems, or related).
- Experience or strong interest in AI/ML, LLMs, cloud and data platforms (AWS, Azure, GCP, Databricks, etc.).
- Strong analytical and technical skills, with experience in utilizing AI services or automation tools and scripts to expedite analyses.
- Effective written and oral communication skills.
- Demonstrated high level of initiative and leadership.
- Proven initiative, leadership, teamwork, and time management.
- Clear and demonstrated interest in life sciences consulting, shown through coursework, research, professional / academic activities, or attendance at CRA recruiting events.
- Resume including current address, personal email, and telephone number.
- Cover letter describing interest in CRA and how the role matches goals, noting any practice or location preferences.
- Transcript (may be unofficial).
Responsibilities
- Apply data analytics, AI/ML, and LLM techniques in a life sciences context to enhance clients’ understanding of key business, risk, strategic, or regulatory issues.
- Work with large healthcare and real-world evidence (RWE) datasets (>100MM records) to generate critical insights for business strategy, regulatory, and litigation contexts.
- Build statistical and machine learning models, cloud-based solutions, or custom visualizations for applications like disease area insights, drug launch strategy, and medical information query handling, leveraging AI and generative AI techniques.
- Assist with the collection, loading, standardization, and identification of relevant data for analysis.
- Communicate findings to team members through visuals, data tables, and models, and assist in developing client materials.
- Contribute to knowledge management and research activities beyond analytics, using AI to synthesize literature and competitive landscape.
Benefits
- Professional development programs
- Wellness support programs
- Social events
- Collegial work environment
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What This Job Offers
Career Level
Intern
