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Company Description Insmed is a global biopharmaceutical company on a mission to transform the lives of patients living with serious and rare diseases. Our most valuable resource is our employees, and everything we do is motivated by a patients-first mentality. We are dedicated to growing our team with talented individuals from around the world who are willing to challenge the status quo, solve problems, and work collaboratively with a sense of urgency and compassion. Guided by our core values of collaboration, accountability, passion, respect, and integrity, we aim to foster an inclusive, diverse, and flexible work environment, where our employees are recognized for leaning in and rolling up their sleeves. If you share our vision and want to work with the most dedicated people in the biopharma industry, come to Insmed to accelerate your career. Recognitions Consistently Ranked Science 's Top Employer Insmed is dedicated to creating a collaborative environment where our team can thrive. Every day, our employees turn their passion for science and research into innovative solutions for patients. That's why we've been named the No. 1 company to work for in the biopharma industry in Science 's Top Employers survey for four years in a row.A Certified Great Place to Work® We believe our company is truly special, and our employees agree. In July 2024, we became Great Place to Work-certified in the U.S. for the fourth year in a row. We are also honored to have been listed on the Best Workplaces in Biopharma™, Best Workplaces in New York™, PEOPLE® Companies That Care, Best Workplaces for Women™, Best Workplaces for Millennials™, and Best Medium Workplaces™ lists. Overview The Insmed Summer Internship Program gives students an opportunity to gain hands-on experience in a corporate environment in the pharmaceutical industry, receive mentoring from highly skilled professionals, and work on dynamic team projects. Our 12-week 2024 Summer Intern program is a full-time (40 hours per week), paid internship. We are seeking an AI/ML Intern with a passion for new technology and a keen interest in the pharmaceutical industry. This individual will work on groundbreaking projects, utilizing Google Cloud Platform/Snowflake to develop, implement, and optimize AI/ML/Graph models that cater to real-world challenges in the pharma sector. The internship may present opportunities for rotational assignments within the function, and the intern will be assigned goals and objectives that will support the strategic business plan of the company. Responsibilities Responsibilities: * AI/ML Model Development: Assist in the creation, training, and optimization of machine learning models focused on various pharma applications like drug discovery, predictive analytics, patient outcomes, etc. * Research & Development: Engage in R&D projects and explore the latest AI/ML technologies and methodologies which can be applied in the pharmaceutical domain. * Data Management: Work on data extraction, cleaning, pre-processing, and management utilizing various tools on Google Cloud Platform and/or Snowflake. * Algorithm Development: Develop and fine-tune algorithms that cater to predictive modeling, classification, and other analytical requirements in the pharma domain. * Collaborative Development: Work collaboratively with data scientists, engineers, and pharma experts to integrate AI/ML models into production on Google Cloud Platform/Snowflake. * Documentation: Maintain comprehensive documentation related to model development, algorithms, and project outcomes for future reference and audit purposes.Qualifications: * Interested in pursuing a career in the pharmaceutical industry. * Currently in full-time pursuit of a Master's, or advanced level degree in Computer Science / Data Science or related experience developing AI solutions. * Hands-on experience or academic knowledge of AI/ML and Graph algorithms and model development. * Proficiency in Python, and familiarity with libraries and tools like PyTorch. * Experience or familiarity with Google Cloud Platform and Snowflake and its various products and services relevant to AI/ML/Graph (like Vertex, Cortex, Model marketplace etc.) * Familiarity with Deep Learning and Graph framework and algorithms. * Familiarity with natural language processing techniques (preferably LLM). * Ability to communicate complex technical concepts to non-technical stakeholders effectively. * Strong analytical and problem-solving skills, with an ability to develop and implement innovative solutions for resolving issues. * Highly organized with a strong attention to detail, clarity, accuracy and conciseness. * Highly proTo view the full job description, click here