Computational Neuroscientist

We are looking for computational neuroscientists enthusiastic about developing new therapeutics on the interface of regenerative medicine and brain-computer interfaces. Candidates can look forward to helping set up and scale a focused research program in collaboration with a world-class team of scientists and engineers with diverse technical backgrounds. Ideal candidates will have extensive experience working with neural data and expertise in modern methods for decoding high bandwidth neural activity for closed-loop control.

Role responsibilities:

• Develop encoding and decoding models for novel high-bandwidth neural interfaces
• Develop control strategies for large scale neural stimulation
• Develop models of sensorimotor learning (e.g. reinforcement learning)  

Key qualifications:

• Commitment to a respectful and supportive work environment
• 5+ years of experience (academic or industry) in neuroscience, computer science, applied mathematics, statistics, or similar field
• A track record of excellence and creativity in your field as demonstrated by publications, patents, success with commercialization or translation, or other notable achievements
• Advanced expertise in probability/statistics, inference/optimization, and embeddings/dimensionality reduction
• Expertise in implementing, debugging, and optimizing numerical algorithms
• Excellent communication and data visualization skills
• Thrives when working collaboratively and tackling difficult technical challenges
• 5+ years experience using Python for data analysis

Preferred qualifications: 

• Experience collecting and working with large scale neural data, and in particular, developing closed-loop brain-machine interfaces
• Experience applying reinforcement learning methods to train and analyze the behavior of human, animal, and/or machine agents
• An understanding of programming design patterns and best practices as well as experience collaborating on large codebases
• Experience with high-performance, distributed computing

Salary/Pay Range:

For individuals hired to work in California, Science is required by law to include a reasonable estimate of the compensation range for this role.  We determine your level based on your interview performance and make an offer based on geo-located salary bands. The base salary range for this full-time position is $130,000 - $160,000 + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please keep in mind that the equity portion of the offer is not included in these numbers. 

Benefits: 

At Science, our benefits are in place to support the whole you:

• Competitive salary and equity
• Medical, dental, vision and life insurance
• Flexible vacation and company-paid holidays
• Healthy meals and snacks provided Paid parental, jury duty, bereavement, family care and medical leave
• Dependent Care Flexible Spending Account, subsidized by Science
• Flexible Spending Account
• 401(k)