Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Summer Intern 2026 - Quantitative Systems Pharmacology

Sanofi
Cambridgeshire
2 days ago
Create job alert

Job Title: Summer Intern 2026 - Quantitative Systems Pharmacology

Location: Cambridge, MA / Morristown, NJ

About the job

Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress.

Join Sanofi’s Disease Modeling group for a 12-week summer internship focused on Quantitative Systems Pharmacology (QSP). As part of a collaborative modeling team, you will contribute to the development of mechanistic models that represent key biological processes of the disease pathophysiology and drug response. This internship offers hands-on experience in model development, data integration, and scientific communication.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities:

Develop and calibrate QSP models using pre-clinical and clinical data.

Identify and integrate data on biological pathways and mechanisms of action.

Present findings to quantitative scientists and cross-functional stakeholders.

Collaborate in a multidisciplinary, team-oriented environment.
 

Program Highlights:

Full-time, paid internship (40 hours/week).

Dedicated mentorship from experienced professionals.

Opportunities to present work internally.
 

About You

Basic Qualifications:

Currently enrolled and pursuing a master's degree or PhD in pharmacology, pharmacometrics, systems biology, applied mathematics, engineering, or a related field at an accredited college or university with the expectation that you will complete your current degree by the Spring of 2028

Experience with QSP, PKPD, or systems biology modeling (e.g., differential equations)

Experience with MATLAB

Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship

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 requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship

Preferred Qualifications:

Experience with Julia or R is a plus

Strong communication, collaboration, and interpersonal skills

Highly reliable, detail-oriented, and deadline-driven

Enthusiastic and curious, with a passion for learning in a multidisciplinary setting
 

Why Choose Us?

Bring the miracles of science to life alongside a supportive, future-focused team.

Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

Exposure to cutting-edge technologies and research methodologies.Networking opportunities within Sanofi and the broader biotech community.

The salary range for this position is ​$45-$60 hourly​. All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through .​

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. 

#GD-SA ​
#LI-SA

#LI-Hybrid

#vhd

Pursue , discover

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our and check out our Diversity Equity and Inclusion actions at !

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

Related Jobs

View all jobs

Summer 2026 Intern- Bioinformatics, Data Science, Computer Science, IT, Biostatistics, Statistics, Omics, Imaging, or Related Majors

Data Scientist Intern (TikTok Shop EMEA DS) - 2026 Summer (BS/MS)

Quantitative Research Intern

Quantitative Analyst - Macro & Commodities Investment Teams (Summer Internship)

2026 | EMEA | London | Investment Banking Quantitative Strats | Summer Analyst

2026 | EMEA | London | Wealth Management, Quantitative Finance | Summer Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.