2027 Spring Co-op Machine Learning AI, Cambridge, MA

We need to output HTML fragment only, with sections as needed. Must not repeat job title. Use

for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Remove boilerplate, navigation, legal, EEO, etc. Also remove duplicated lines, application instructions. Must preserve all substantive info. Let's parse the posting: Job Title: 2027 Spring Co-op Machine Learning AI Grade: Co-op Location: Cambridge, MA Duration: 6 months About The Job: paragraph about launching career, etc. We need sections: About the role (maybe "About The Job" maps to About the role). Responsibilities: The description includes tasks: implement, develop and validate data-based (AI/ML) models to enhance decision making across drug discovery and development; focus on predicting pharmacology dynamics of large molecules (biologics) by integrating structural properties, preclinical and clinical data; resulting AI/ML models will aid in early drug development decisions and drive impact across multiple R&D organizations; In support of these activities, the successful incumbent should be able to analyse and interpret preclinical and clinical data, design and train Biology- and Pharmacology-based AI/ML models and support critical decision making as part of the QP team. The QP group supports multiple therapeutic areas and research platforms within the broader R&D organization. Also "Ready to grow your skills while helping shape the future of healthcare? At Sanofi, youll be empowered to learn, ask questions, and bring your ideas to life all while supported by inspiring mentors and collaborative teams." That's more about benefits? Could be part of About the role or Benefits. About Sanofi: description of company. About You: Basic Requirements list, Preferred Qualifications list. Why Choose Us: bullet points about benefits. Compensation: salary range $47 - $60 hourly. All compensation will be determined commensurate with demonstrated experience. Note: we should not include Pay section if content is just "commensurate with experience" etc? The instruction: "Prefer a few substantive sections over many thin ones. Output ONLY the HTML fragment — no /, no markdown code fences. IMPORTANT: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them." We have Pay: salary range $47 - $60 hourly. That's specific. The phrase "All compensation will be determined commensurate with demonstrated experience." is filler? It's somewhat generic but still mentions determination. The instruction says never emit a heading followed by filler/placeholder text like "commensurate with experience". That suggests we should not include Pay section if the only content is that phrase. However we do have a specific range: $47 - $60 hourly. That's substantive. So we can include Pay section with that range. The extra sentence about commensurate may be considered filler; we could either include it or drop it. Probably better to include just the range, maybe omit the filler sentence. The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." So we must preserve the salary range. The filler sentence is not substantive? It's somewhat generic but still part of posting. Might be considered boilerplate? It's not navigation/legal/EEO. It's about compensation determination. Could be considered substantive? It's not a specific detail, but it's still info. However the instruction says never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD"). That suggests we should not include a Pay section if the only content is that phrase. But we have both a range and that phrase. We could include the range and maybe drop the filler sentence. That would preserve substantive info (the range) and omit filler. That seems acceptable. Schedule: The posting mentions "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." That's schedule info: 40 hrs/week, Monday-Friday. Also Duration: 6 months. That could be schedule? Actually schedule section could include work hours and duration. The instruction: include Schedule section only if posting actually states them. It does state work hours and duration. So we can include Schedule with that info. Benefits: The "Why Choose Us" section lists benefits: Bring the miracles of science to life alongside a supportive, future focused team. Stretch your skills through apprenticeships, internships, graduate programs, and international experiences that grow with you. Learn from inspiring mentors and collaborative teams while contributing to real projects that shape the future of healthcare. Build your future with access to the latest tools, digital innovation, and continuous learning that keep you ahead of the curve. Also earlier: "Ready to grow your skills while helping shape the future of healthcare? At Sanofi, youll be empowered to learn, ask questions, and bring your ideas to life all while supported by inspiring mentors and collaborative teams." That's also benefits. So we can include Benefits section with those bullet points. Qualifications: Could separate Basic Requirements and Preferred Qualifications. The instruction: Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we have Requirements and Qualifications separate. We could put Basic Requirements under Requirements, and Preferred Qualifications under Qualifications. Or combine? Better to follow headings. Skills: Could list Experience with Python and relevant libraries, Experience with Statistical/Machine Learning, etc. Also maybe "Experience with Large Language models/ deep learning/ time series data modeling". So we can put those under Skills. Responsibilities: we have the tasks described. About the role: we have the introductory paragraph about launching career, etc. Also About Sanofi description could be part of About the role or maybe separate? The instruction only lists those headings; we could put About Sanofi under About the role as well, or maybe we could omit if not needed. But we should preserve all substantive info. The About Sanofi paragraph is substantive. Could be placed under About the role. We must not repeat job title as heading. No Job ID/requisition numbers. We must remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. There's no explicit application instructions besides maybe "#vhd null" at end (looks like garbage). Remove that. Now construct HTML. We'll have sections:

About the role

Looking to launch your career at the cutting edge of healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide. We are seeking a highly motivated Spring Co-op to join our Machine Learning AI team. The Quantitative Pharmacology (QP) group in Sanofi is seeking a Machine Learning co-op to implement, develop and validate data-based (AI/ML) models to enhance decision making across drug discovery and development. The focus will be on predicting pharmacology dynamics of large molecules (biologics) by integrating structural properties, preclinical and clinical data. The resulting AI/ML models will aid in early drug development decisions and drive impact across multiple R&D organizations. In support of these activities, the successful incumbent should be able to analyse and interpret preclinical and clinical data, design and train Biology- and Pharmacology-based AI/ML models and support critical decision making as part of the QP team. The QP group supports multiple therapeutic areas and research platforms within the broader R&D organization. Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you'll be empowered to learn, ask questions, and bring your ideas to life all while supported by inspiring mentors and collaborative teams.

Sanofi is an R&D-driven, AI-powered biopharma company committed to improving peoples lives and delivering compelling growth. Our deep understanding of the immune system and innovative pipeline enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve peoples lives.

That covers About the role and About Sanofi.

Responsibilities

• Implement, develop and validate data-based (AI/ML) models to enhance decision making across drug discovery and development.
• Predict pharmacology dynamics of large molecules (biologics) by integrating structural properties, preclinical and clinical data.
• Use AI/ML models to aid in early drug development decisions and drive impact across multiple R&D organizations.
• Analyse and interpret preclinical and clinical data.
• Design and train Biology- and Pharmacology-based AI/ML models.
• Support critical decision making as part of the QP team.

Requirements

• Currently enrolled in a Master's or PhD program in a STEM field (e.g. Engineering, Computer Science, Mathematics or related field)
• 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.
• Experience with Python and relevant libraries
• Experience with Statistical/Machine Learning

Qualifications

• Familiarity with basic concepts of drug discovery and development. Focus on biologics preferred.
• Good written, presentation and verbal communication skills are essential.
• Ability to work in a matrix and in a global environment.
• Experience with Large Language models, deep learning, or time series data modeling preferred.

Skills

Python programming, statistical/machine learning, large language models, deep learning, time series data modeling, communication, teamwork.

But we already listed Python and Statistical/Machine Learning under Requirements; maybe Skills could be a summary of technical skills. However we might duplicate. The instruction: Preserve ALL substantive information; do NOT invent or summarize away detail. If we put Python etc under Requirements, that's fine. Skills section could be optional; we could omit if it's just repeating. Better to omit Skills to avoid thin section. We already have Requirements and Qualifications covering those. So we can skip Skills.

Benefits

• Bring the miracles of science to life alongside a supportive, future focused team.
• Stretch your skills through apprenticeships, internships, graduate programs, and international experiences that grow with you.
• Learn from inspiring mentors and collaborative teams while contributing to real projects that shape the future of healthcare.
• Build your future with access to the latest tools, digital innovation, and continuous learning that keep you ahead of the curve.
• Empowered to learn, ask questions, and bring your ideas to life while supported by inspiring mentors and collaborative teams.

Pay

The salary range for this position is $47 - $60 hourly.

Schedule

Work 40 hours per week, Monday to Friday for the full 6‑month duration of the co‑op.

We need to ensure we didn't include any boilerplate like "All compensation will be