Senior Associate Scientist, Data Sciences

Overview With five approved products and a rich pipeline, Alnylam is at the forefront in the development and commercialization of RNAi therapeutics. Our success is built upon a rational, sequence-based approach to drug design informed by predictive models. In this role, you will have the opportunity to apply data science and computational biology skills to analyze imaging and omics data within Research and Preclinical Development. You will leverage data from MERFISH and other omics techniques to quantify and visualize relative gene and protein expression patterns in the presence of siRNA and other perturbagens in the context of space and time. Your work will broaden our understanding of complex biological tissues, their response to RNAi treatment, and create a framework to employ AI methodologies to predict both pharmacodynamic and toxicologic effects. You will be a key part of an interdisciplinary team bringing a whole new therapeutic modality to patients in need.
This position is onsite and will be primarily located in Cambridge, MA.
Key Responsibilities
Leverage in-house and public spatial multiomics and single-cell RNA-Seq data lakes to answer essential scientific questions regarding delivery, toxicology, and target discovery
Collaborate with interdisciplinary teams of data scientists, biologists, and pathologists across Research and Early Development to plan, analyze, and report results from spatial multiomics experiments to key stakeholders
Research and implement ML/AI methods in the spatial multiomics field, such as multi-modal data integration, to enrich insights from data
Execute and develop analysis pipelines for spatial multiomics and imaging data from complex tissues, performing tissue and cell segmentation, cell type annotation, and exploration of spatial gene expression changes in response to treatment or disease
Master and build upon existing analysis workflows and maintain them in version-controlled systems
Actively contribute to our data science culture
Qualifications
M.S. or equivalent in a quantitative discipline (bioinformatics, computational biology, data science, or related field) or B.S. with 2+ years of relevant professional experience
Proficiency in modern data science languages (Python/R) is essential
Experience analyzing large transcriptomic or imaging datasets in cloud computing environments an advantage
Knowledge of complex tissue anatomy and image registration techniques an advantage
Interest in the translation of biological questions to quantitative hypotheses that can be tested using data science techniques
Strong communication skills to effectively collaborate with multidisciplinary teams

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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