Who We Are
BlackThorn Therapeutics, Inc., is a clinical-stage neurobehavioral health company pioneering the next generation of artificial intelligence technologies to advance its pipeline of targeted therapeutics for treating brain disorders. The company has engineered PathFinder™, a cloud-based computational psychiatry and data platform, to enable the collection, integration and analysis of multimodal data at great speed and scale. BlackThorn applies its data-driven approaches to create an understanding of the core underlying pathophysiology of neurobehavioral disorders and uses these insights to generate objective neuromarkers, which support drug target identification, patient stratification and objective clinical trial endpoints. By identifying more homogenous patient subgroups who share underlying neurobiology, BlackThorn aims to direct its drug candidates to neurobiologically-defined patient populations most likely to respond.
The Position
Help us create the next-gen AI technologies to make better decisions in end-to-end drug development, clinical trials, and deployment lifecycle.
A successful candidate will develop and implement AI models and algorithms on large-scale, multimodal neuroimaging, physiological, and clinical datasets to deepen our understanding of neurobehavioral disorders and their treatment.
You will work with scientists, clinical researchers, and software developers to implement solutions to support our data-driven approaches to improving the lives of people with neurobehavioral disorders. At the same time, you will be rolling up your sleeves working on tactical tasks that will keep your coding and troubleshooting skills sharp. We value proactive thinkers and doers who identify opportunities for technology innovation in digital health.
Who You Are
- You have a PhD degree specialized in a topic related to computational neuroscience, biomedical engineering, statistics, or applied machine learning
- A proven record of publishing peer-reviewed papers in scientific journals, conferences
- Have extensive experience working with large-scale neuroimaging datasets including task-based and resting-state fMRI, structural MRI, and DWI
- Have a grasp of multivariate and machine learning approaches and can apply them to predictive modeling of neuroimaging and clinical data
- Have ample experience with neuroimaging processing software such as AFNI, FSL, and Freesurfer
- Proficient in Python and machine learning toolboxes such as scikit-learn and pandas
- Have prior experience with processing signal modalities such as EEG, eye-tracking, and speech signal is a strong plus
- Experience bringing machine learning projects to industrial production is a plus
- Excellent communication skills and can easily translate complex models and solutions to non-technical peers
- Collaborative, likes to learn and master new methodologies and techniques, works well in a fast pace environment, and a strong, creative problem solver