About the Role:
Inscopix, a Bruker Nano neurotechnology company, is empowering discoveries in neuroscience to find cures for brain diseases like Alzheimer’s, Parkinson’s, Schizophrenia, Depression and Chronic Pain. Data science is a key part of these discoveries. As a Computational Research Scientist in our computational neuroscience group, you will analyze multi-modal biological datasets from therapeutic projects, working alongside experimentalist and software engineers to deliver important translational insights for pharma and biotech research programs. You will participate in shaping data analytics culture across the company and in developing and prioritizing computational advances that unlock the power of Inscopix imaging data. You will use your knowledge and experience in the field to prioritize investment in and productization of broadly applicable computational methods that will improve efficiency, power, and accessibility of data analytics at scale in both academia and industry. If you enjoy doing preclinical neuroscience research and want to use your computational skills to have a practical and important part in building analysis tools to help others at scale, this could be the right role for you.
- Collaborates with our neuroscientists and engineers to develop innovative products and powerful analyses of large scale video & time-series data
- Leads external neuroscience data analysis collaborations in industry and academia.
- Creates and builds exploratory analyses and reports on novel and existing algorithms for analysis of high dimensional brain activity and animal behavior datasets.
- Assists with integration of new data processing algorithms into existing software products.
- Connects insights from analysis of brain imaging data to biological meaning and suggests experimental and scientific direction for future studies.
We are looking for someone who has the following experience and background.
- PhD in neuroscience, physics, bioinformatics, math, statistics, computational biology/genomics, or related field. Strong neuroscience knowledge and working experience if the degree isn’t neuroscience focused.
- Experience designing data visualizations and crafting intuitive figures, presentations, and papers to communicate scientific findings to a broad audience.
- Deep expertise coding and programming in Python and/or Matlab which includes manipulating, analyzing, and visualizing data. Broad exposure to many analysis methods and statistical approaches including proficiency optimizing machine learning models and data visualizations for deployment in customer-facing products.
- Enjoys working on a team and applying complex data analysis and machine learning techniques to answer neuroscience questions.
Hybrid preferred, remote considered (within Canada or USA). We would prefer this person be based either in the (broadly defined) Greater San Francisco Bay Area or in Vancouver, B.C. to facilitate some in-person interaction with team members working in our labs and offices there.
Inscopix is committed to diversity and equitable compensation practices across our organization which includes an offer process that is comfortable, transparent and unbiased. Rather than candidates wondering if they should negotiate, we offer the highest salary we can based on our current salary bands, the employee’s ability to perform in their role, and their future team members compensation. After you complete your initial interviews, we’ll share with you what you can expect from a potential offer based on your experience and geographical location, and answer any questions you have regarding compensation. No question is off limits because we believe transparency leads to an enjoyable hiring experience for everyone involved.
Please apply online athttp://www.inscopix.com/careers. Our hiring team goes through emails every couple of days and will contact you if the role is a fit.
Inscopix is an equal opportunity employer.
Inscopix welcomes and values diversity and encourages candidates underrepresented in STEM fields to apply. Since our technology impacts people of different backgrounds, thoughts and beliefs, we feel it’s critical to employ people that reflect the diversity of people our technology is set out to help. Employment decisions at Inscopix are based on business needs, job requirements and individual qualifications without regard to race, color, religion, gender identity and/or expression, ethnic or national origin, sex (including pregnancy), age, disability, HIV status, sexual orientation, marital or domestic partnership status, past or present military service, family medical or genetic history or any other protected status. Inscopix is an equal opportunity employer and prohibits discrimination and harassment of any kind.