Job description

Overview

The intern will work under the guidance of one or multiple senior level statisticians on research project(s) closely related to the pharmaceutical industry and our clinical trials. Potential topics may include longitudinal data modeling, survival analysis, joint modeling, causal inferences, Bayesian methods, AI/machine learning etc. They will also be exposed to the drug development process and post marketing research. The research work will be presented at the departmental seminar and additionally, may lead to peer-reviewed publications.

Learning Outcomes

Statistical methodologies in clinical trial data analysis and data visualization
Statistical methodologies in observational / real world data analysis and data visualization
Use of AI / machine learning methodologies in clinical and real world data modeling

Qualifications

Be enrolled in a graduate-level curriculum leading to a PhD in statistics/biostatistics
Have completed at least two full years of graduate study prior to the start of the internship
Solid understanding of statistical inference
Strong programming skills in R and/or SAS a must;
Experience in complex statistical modeling under the real-world observational setting is a plus
Experiences in AI/machine learning is a plus
Good oral and written communication skills
Legal authorization to work in the U.S.
At least 18 years of age prior to scheduled start date

About Alnylam: Alnylam Pharmaceuticals (Nasdaq: ALNY) has led the translation of RNA interference (RNAi) into a whole new class of innovative medicines with the potential to transform the lives of people afflicted with rare and more prevalent diseases. Based on Nobel Prize-winning science, RNAi therapeutics represent a powerful, clinically validated approach to treating diseases at their genetic source by “interfering” with mRNA that cause or contribute to disease. Since our founding in 2002, Alnylam has led the RNAi Revolution and continues to turn scientific possibility into reality.

Our culture: Our people-first culture is guided by our core values: fiercely innovative, open culture, purposeful urgency, passion for excellence, and commitment to people, and these values influence how we work and the business decisions we make. Thanks to feedback from our employees over the years, we’ve been fortunate to be named a top employer around the world. Alnylam is extremely proud to have been recognized as the #1 Large Employer by Boston Globe Top Places to Work in 2023 for the third consecutive year, one of Science Magazine’s Top Biopharma Employers, one of America's Most Responsible Companies for 2024 by Newsweek, a Fast Company Best Workplace for Innovators, and a Great Place to Work in Canada, France, Italy, Spain, Switzerland, and UK – among others.

At Alnylam, we commit to an inclusive recruitment process and equal employment opportunity. We are dedicated to building an environment where employees can feel that they belong, can bring their authentic selves to work, and achieve to their full potential. By empowering employees to embrace their unique differences at work, our business grows stronger with advanced and original thinking, allowing us to bring groundbreaking medicines to patients. Qualified applicants will receive consideration for employment without regard to their race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, ethnicity, marital status, protected veteran status, disability, or any other characteristics prohibited by law.

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