Data Scientist - Neural Interface Engineer

Los Angeles
Forest Neurotech – Science /
Full Time /
On-site
Data Scientist– Neural Interface Research
Forest Neurotech is seeking a data scientist to work on the development of a neurotechnology platform for the world's first minimally invasive, ultrasound-based neural implant.

About Forest Neurotech
Forest Neurotech is developing an ultrasound based BCI and software platform with the aim of catalyzing breakthroughs in both the understanding and personalized treatment of the human brain. Ultrasound is capable of measuring and stimulating brain-wide activity in a minimally invasive manner. This opens new avenues for research into personalized therapies across a range of psychiatric and cognitive disorders. To accelerate these efforts, Forest has secured a partnership with Butterfly Network with exclusive access to the only FDA-approved and mass-produced Ultrasound-on-chip. Forest was recently featured in Wired and IEEE. Visit www.forestneurotech.org to learn more. 

Forest is a Focused Research Organization (FRO). Pioneered by Convergent Research, a member of the Schmidt Futures Network, FROs are designed to overcome key technological bottlenecks for the advancement of science and medicine. As an FRO, Forest can execute with the intensity and focus of a founder-led startup, but with the mission and operational flexibility to maximally advance neurotechnology and benefit society rather than focusing on near-term company value.

Funding
Forest has five years of runway.

Location
This is a full-time role based on-site in downtown Los Angeles, CA. 

Job Description
At Forest Neurotech, we're not just creating devices; we're building a deeper understanding and personalized treatment of the human brain. Our mission is to pioneer the next generation of neurotechnology, and we're looking for passionate and experienced people to be a part of this journey. As a Data Scientist at Forest Neurotechnology, you will collaborate closely with an interdisciplinary team of neuroscientists, engineers, and clinicians. Your role will be pivotal in developing algorithms and models designed to accurately interpret and modulate brain activity. This position offers the unique opportunity to contribute to groundbreaking work at the intersection of data science and neurotechnology, shaping the future of neural interface development and application.

Key Responsibilities

    • Design and optimize data analysis pipelines to efficiently process, analyze, and visualize large-scale functional ultrasound imaging and neuromodulation data.
    • Collaborate with neuroscientists and engineers to design experiments and analyze data to improve the understanding of brain activity patterns and their modulation through focused ultrasound.
    • Apply machine learning and statistical modeling techniques to interpret complex neural data, identify patterns, and predict outcomes.
    • Develop closed-loop systems for dynamic adjustment of neuromodulation parameters, utilizing real-time brain activity feedback to maximize therapeutic outcomes.
    • Design, implement, and maintain scalable data management systems to handle the ingestion, storage, and organization of large-scale datasets, ensuring efficient access and reliability for local-protoyping and large-scale model development.
    • Prepare and present findings to both technical and non-technical stakeholders, including team members, partners, and the broader scientific community.

Qualifications

    • Master’s or PhD in Data Science, Computational Neuroscience, Biostatistics, or a related field.
    • Demonstrated experience in machine learning or statistical modeling, preferably with applications in neuroscience or biomedical engineering.
    • Advanced proficiency in Python and experience with tools and frameworks for machine learning, signal processing, closed-loop control, and real-time data analysis.
    • Strong understanding of signal processing techniques and their application to biological data.
    • Experience with MLOps tools and software practices is beneficial: including continuous integration (CI), cloud deployment (e.g. Apache Beam, GCS, AWS), and reproducible ML experiments (MLFlow or similar)
    • Excellent problem-solving skills and the ability to work independently as well as part of a team.
    • Strong communication skills, with the ability to translate complex technical concepts into clear, understandable terms.

We Offer

    • Industry Competitive salary
    • Health, vision, and dental insurance
    • Wellness benefit
    • Paid time off
    • Flexible spending accounts for health care or childcare
    • 401(k) retirement fund with matching employer contributions
To apply, please submit your CV/resume, a cover letter, and links to any relevant professional profiles (e.g., LinkedIn) or examples of work (e.g. GitHub, publications). In your cover letter, please include a brief description of your most impactful project related to data science. Describe the project's goals, your role, and its significance or impact. Additionally, please confirm your availability for a full-time, in-person position in Los Angeles, along with your earliest possible start date. We appreciate your interest in joining our team and look forward to reviewing your application.

We aim to help fill a structural gap in today's R&D system. We enable fundamental research that requires unusual levels of scale and coordination yet is not rapidly monetizable by industry. We’re bringing together top talent from academia, industry, and startups to build a new model for innovative R&D. As an incubator within the Schmidt Futures Network, we identify high-impact scientific or technical research and development opportunities, ultimately defining and launching these projects as Focused Research Organizations.
 
We are an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. We do not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by applicable local, state, or federal law or company policy. We strive for a healthy and safe workplace and strictly prohibit harassment of any kind.