Data and Machine Learning Lead

Motif Neurotech is a medical device startup based in Houston, Texas, focused on developing innovative solutions for mental health conditions. The Data and Machine Learning Lead will oversee the clinical evidence generation and external research partnerships, leading efforts in data collection, machine learning, and the discovery of impactful biomarkers to enhance neurotechnology products.

Responsibilities:

• Develop and own the data science and machine learning roadmap
• Work with cross functional teams to understand what data is needed when, and put in place strategies to generate it
• Work with internal and external thought leaders to define problems worth solving, and create strategies for pursuing these solutions
• Collaborate with partner functions such as research, development, and clinical to integrate data and machine learning as a full partner in the Motif integrated roadmap
• Create plans to ensure that products are architected to predictably improve as data generated from their use scales (improvement native systems)
• Represent and communicate the Motif approach to data in mental health for investors, physicians, and other industry forums
• Define data strategy and execute data collection initiatives
• Define data sets needed to unlock impactful biomarkers relevant to the treatment of mental health disorders
• Work closely with the hardware, firmware, and software teams to ensure that the system collects high quality data in an appropriate format and with sufficient metadata to scale seamlessly across local and cloud-based infrastructures
• Architect thoughtful infrastructures that turn data scale into an asset and not an expense
• Work closely within awarded grants or identify new opportunities to scale data via partnerships
• Discover biomarkers or insights with impact
• Create analytic pipelines to fuse internal, external, and partnered data sets and drive scalable discovery
• Build organizational tools in machine learning, statistics, and other analytic techniques relevant to data from imaging, neural electrophysiology, wearable and lifestyle measures, video and speech
• Lead teams to develop and validate biomarkers, correlates, or other insights that solve problems of candidacy, dosing, efficacy assessment, and predictive delivery of therapy in the mental health space
• Deploy learning into clinical study efforts and, soon, commercial products
• Partner with R&D to embed data features in future products by translating research pipelines into production code
• Partner with internal and external experts to design platforms that allow rapid, agile research to occur on fielded products with a goal of accelerating discovery (safe, compliant, fast A/B testing for the neurotech community)
• Develop verification and validation strategies, and work with partners to ensure regulatory constraints are met
• Partner with clinical science on generation of evidence to unlock discoveries in clinical studies and commercial products in a predictable cadence
• Are familiar with cybersecurity considerations with different data types and can defer to experts when necessary