Data Scientist

This role is considered On-Site.

Overview

With five commercially approved RNAi therapeutics, Alnylam is at the forefront of gene silencing. Our success is built upon a rational, sequence-based drug design platform informed by predictive models of potency, specificity, and safety. In this role you will have the unique opportunity to apply your mathematical, scientific, and computational skills to directly interface with, and improve, our drug design process. You will design, test, and implement machine learning models related to siRNA activity and specificity that leverage large internal and external RNA-seq and qPCR datasets. You will deploy cutting edge AI/ML models in cloud compute environments and develop high-throughput analysis pipelines that integrate multiple bio-/chemo-informatics software tools. You will collaborate with world-class chemists and apply oligonucleotide chemistry designs in computational models. You will propose experiments to build out training datasets based on the predictions of your models. You will be a key part of a bioinformatics team enabling a novel therapeutic modality to bring impactful medicines to patients in need.

Key Responsibilities

• Design ML/AI algorithms related to siRNA specificity and activity
• Apply your existing scientific knowledge in chemistry/biology/physics/math to problems in RNAi
• Deploy ML models in AWS cloud computing environments
• Assist in the design of RNA-seq and qPCR experiments to build impactful training datasets
• Master and build upon an existing internal python codebase
• Professionally manage code in a version-controlled system
• Identify informative siRNA feature descriptors using cheminformatics and data science tools
• Transfer-learn external models for internal applications
• Actively contribute to our data science culture

Qualifications

• Recent Ph.D. or M.S. with 5+ years of relevant professional experience
• Strong math and scientific skills essential; chemistry knowledge considered advantageous
• Excellent coding abilities in data science relevant languages (python/R) is essential
• Experience with the design of ML/AI models in a scientific context (required), preferably in a domain relevant to RNAi
• Familiarity with the deployment of ML models in AWS cloud compute environments
• Knowledge of, or the capability to master concepts in, oligonucleotide chemistry and RNAi
• Ability to communicate advanced mathematical concepts and approaches to our scientists

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 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.