Currently pursuing an undergraduate or master's degree in a quantitative field (mathematics, statistics, computer science) with graduation planned by Spring 2028 or 2029.
Permanent authorization to work in the U.S. without requiring future visa sponsorship.
Enrollment in an accredited college or university throughout the internship duration.
Ability to relocate to the office location and commit to a full-time schedule (40 hours/week).
Experience or coursework in predictive modeling and analytics is preferred.
Strong analytical skills with the ability to derive actionable insights from data.
Proficiency in data science languages (Python, R, Scala) and familiarity with database systems (SQL, NoSQL).
Responsibilities
Build relationships with stakeholders to prioritize and deliver on time-sensitive requests.
Collaborate with various teams including Digital Accelerator, Market Research, and Finance.
Develop models using business insights to support commercial excellence.
Lead problem-solving activities related to marketing and sales using AI/ML techniques.
Prepare high-quality analyses using advanced analytical methods.
Frame key marketing and sales issues to guide model development and analysis.
Present model results and implications to commercial stakeholders.
Benefits
Hands-on experience in a dynamic analytics environment.
Opportunity to work with cross-functional teams and senior leadership.
Exposure to cutting-edge analytical methods and tools.
Development of practical skills in data visualization and communication.
Networking opportunities within the organization and industry.
Full Job Description
Job Title: 2027 Summer Intern US Advanced Analytics
Grade: Intern
Location: Cambridge, MA
Duration: 10-12 weeks
About the Job
You will be responsible for leveraging data science expertise in machine learning, statistics, and optimization. This person will join the US Advanced Analytics team within the overarching US Go to Market Capabilities (GTMC) Insights and Analytics team, which serves as strategic partner to the US commercial teams (Executive Leadership, Marketing, Sales, and Patient Support Services). Key responsibilities of this internship will include developing a proof-of-concept model for a prioritized business use case. Furthermore, this role will be responsible for creating innovative data visualizations and interpreting model outputs to communicate findings to leadership to drive business decisions at the conclusion of the summer internship. This position will report to the Senior Director, US Advanced Analytics and will be based in either Cambridge, MA or Morristown, NJ.
Main Responsibilities
Build effective relationship with stakeholders (Commercial and Commercial Brand + Advanced Analytics teams), work collaboratively to prioritize work and deliver on time-sensitive requests.
Interact/partner with Digital Accelerator, Digital Data Science, Data Management, Market Research, Marketing, Strategy, Finance and BD groups.
Collaborate with extended US Advanced Analytics team
Develop model using key business insights from various market to support commercial excellence.
Lead marketing and sales-related problem-solving activities, leveraging AI/ML techniques. Projects may include marketing mix modeling, ROI analysis, next best action, customer segmentation, patient prediction, and drivers analyses.
Prepare high-quality, accurate analysis using cutting-edge analytical methods.
Strategic thinking - frame the key marketing and sales issues to guide model development and analysis.
Communication - present model results and implications to commercial stakeholders.
Results Orientation - Ability to work cross-functionally, gather requirements, analyze data, and generate insights and reports that can be used by the business.
About you
Basic Qualifications:
Currently pursuing an undergraduate or masters' degree in applied quantitative field, such as mathematics, statistics, computer science with plans to graduate by Spring 2028 or 2029.
Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the Internal requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
Must be enrolled in an accredited college or university throughout the duration of the co-op/internship.
Must be able to relocate to the office location and work 40hrs/week, Monday to Friday for the full duration of the co-op/internship.
Preferred Qualifications:
Experience/coursework in predictive modelling and analytics
Strong analytical acumen and quantitative skills with a demonstrated ability to translate information and data into actionable insights and strategic recommendations.
High proficiency with core data science languages (Python, R, Scala), Snowflake, and familiarity with different data-base systems (e.g. SQL, NoSQL)
Experience with the following modelling areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization
High proficiency in MS Office (Excel, PowerPoint, Word)
Self-starter, proactive in nature, and actively participates.
Ability to synthesize complex information into clear and actionable insights.
Compensation
The salary range for this position is $36 - 47 USD hourly. All compensation will be determined commensurate with demonstrated experience.
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About Sanofi
Sanofi is a global pharmaceutical company that specializes in the research, development, and manufacturing of prescription drugs and vaccines. The company operates in over 170 countries and has a diverse portfolio of products that includes treatments for diabetes, cancer, cardiovascular disease, and rare diseases. Sanofi is committed to improving global health and has a strong focus on innovation and sustainability. The company has received numerous awards for its research and development efforts and is recognized as a leader in the pharmaceutical industry.
