(Senior) Scientist, Computational Neuroscience

The Company Flagship Labs 119 Inc. (FL119) is an early-stage technology company pioneering a new frontier at the intersection of neuroscience and computation. We are developing next-generation technologies to transform how intelligent systems are built. We believe that the future of artificial intelligence demands a fundamental rethinking of today’s paradigms. Our mission is bold and urgent: to build a future where naturalistic, robust intelligence can emerge and operate sustainably at scale. FL119 is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. At FL119, we are uniquely cross-functional and collaborative. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way. The Role: FL119 is seeking a (Senior) Scientist, Computational Neuroscience to join our team. Leveling is flexible based on experience. This role will focus on building scalable computational pipelines for biophysical modeling and applying machine learning techniques to large-scale neural datasets. The role is based in Cambridge, Massachusetts, with a preference for on-site engagement. International candidates are welcome to apply. How You Will Contribute: Own the development of end-to-end computational pipelines for biophysical modeling of neurons and neural populations. Implement machine learning and statistical inference methods to construct and analyze bio-realistic networks from neural recordings. Actively shape the technical roadmap by proposing, prototyping, and evaluating modeling and inference approaches in close collaboration with the broader team. The Ideal Candidate Will Have: MSc or PhD in Computational Neuroscience, Physics, Applied Mathematics, Computer Science, AI/ML, or a related field. 2+ years of full-time industry or postdoctoral experience (5+ years for MSc). Strong experience with computational modeling of neural systems. Hands-on experience applying machine learning or statistical methods to complex time-series data. Proficiency in Python and scientific computing libraries (e.g., NumPy, SciPy, Pandas), and familiarity with ML frameworks such as PyTorch or TensorFlow. Comfort working in high-ambiguity R&D environments and building novel methods from first principles. Passion for working at the intersection of AI and experimental biology. About Flagship Pioneering Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com . Flagship Pioneering is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedi