(Senior) Scientist, Computational Neuroscience in Cambridge

(Senior) Scientist, Computational Neuroscience in Cambridge

Cambridge Full-Time 59400 - 72600 £ / year (est.) On-site
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At a Glance

  • Tasks: Develop cutting-edge computational pipelines for biophysical modelling and machine learning applications.
  • Company: Join Flagship Labs 119, a pioneering tech company at the intersection of neuroscience and computation.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Dynamic, collaborative environment with a focus on creativity and diverse perspectives.
  • Why this job: Make a real impact in AI and experimental biology while working with innovative technologies.
  • Qualifications: MSc or PhD in relevant fields and experience in computational modelling and machine learning.

The predicted salary is between 59400 - 72600 £ per year.

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 Ph D 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., Num Py, Sci Py, Pandas), and familiarity with ML frameworks such as Py Torch or Tensor Flow.
  • 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 dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

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(Senior) Scientist, Computational Neuroscience in Cambridge employer: flagshippioneeringinc

At Mirai Bio, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the field of biotechnology. Our vibrant work culture encourages professional growth through mentorship and cross-departmental teamwork, providing employees with unique opportunities to lead groundbreaking projects in a supportive environment. Located in a dynamic area, we offer competitive benefits and a commitment to work-life balance, making us an ideal choice for those seeking meaningful and rewarding careers in LNP formulation and process development.

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Contact Details:

flagshippioneeringinc Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land (Senior) Scientist, Computational Neuroscience in Cambridge

✨Get Involved in Research Communities

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✨Show Off Your Research Projects

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✨Utilise Professional Networks

Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.

✨Keep Your Eyes on Openings & Apply Directly

Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like flagshippioneeringinc. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!

We think you need these skills to ace (Senior) Scientist, Computational Neuroscience in Cambridge

Computational Neuroscience
Biophysical Modeling
Machine Learning
Statistical Inference
Neural Data Analysis
Python
NumPy

Some tips for your application 🫡

Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!

Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at flagshippioneeringinc. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.

Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.

Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at flagshippioneeringinc. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!

How to prepare for a job interview at flagshippioneeringinc

✨Showcase Your Research Skills

In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.

✨Prepare for Technical Questions

Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at flagshippioneeringinc. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.

✨Know Your Publications

If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.

✨Exhibit Your Team Spirit

In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at flagshippioneeringinc to drive research projects forward.