At Tetricus, our mission is to leverage advanced technology to transform mental health care. If you are passionate about making a meaningful impact in the lives of millions through the intersection of healthcare and technology, we would love to hear from you.
What You'll Do:
- Collaborate with product, engineering, and medical teams to define metrics for patient outcomes, determine ideal length of care, and identify circumstances to improve care provided.
- Investigate and develop analytics for hospital efficiency, targeting improvements in patient outcomes and speed while reducing the cost of psychiatric care programs.
- Analyze trends in patient revisits, insurance patterns, psychiatric care program effectiveness, and prescription accuracy to optimize care protocols.
- Work on projects involving data visualization and analysis of diverse signals such as activity, sleep, self-report surveys, and heart rate data to derive actionable insights and recommendations.
- Design and prototype machine learning models to enhance patient outcomes, focusing on analyzing factors like drug usage, dietary habits, survey responses, admissions data, patient activities, and demographics.
- Develop tools for continuous monitoring and reporting on patient trends, including automated daily summaries and insights on data collected from the hospital and our proprietary platform.
- Ensure high standards for data quality and identify any care or diagnostic errors through meticulous analysis and machine learning techniques.
What We’re Looking For:
- A Bachelor’s, Master’s, or PhD degree in a quantitative field such as Statistics, Mathematics, Computer Science, or related fields.
- At least 2 years of experience in data analysis, including hands-on projects leverage machine learning or statistical modeling.
- Proficient in Python, R, or other data analysis programming languages in performing advanced statistical analysis, and graphing (ex. Seaborn, Altair, Plotly, Bokeh, ggplot2, D3, etc)
- Experience using analytical tools like Jupyter notebooks, Colab, etc.
- A strong understanding of data analytics, AI, and continuous learning in new tech advancements.
- Strong proficiency in querying data using technologies like BigQuery, SQL, etc.
- Solid understanding of data analytics principles and eagerness to apply them in the healthcare sector.
- Interest in mental health and general healthcare data and a commitment to ethical data practices with a willingness to understand healthcare data regulations.
- Experience with software development environments using git and scripting techniques.
- Strong analytical and problem-solving skills with a detail-oriented approach to data analysis.
- Familiarity with machine learning frameworks and libraries (e.g. TensorFlow, PyTorch, LLMs) is a plus.
- Familiarity with cloud environments like AWS, GCP, or Azure is a plus.
What We Offer:
- A small, close-knit, driven team that firmly believes in the mission of helping people when they need it most
- The opportunity to directly impact the health outcomes for patients across the US and Canada
- A green-field to develop the right solutions
- A breadth of products and systems to learn and grow your craft
- Occasional travel for onsite discussions and company retreats
- Flexible working hours
- Potential for equity
- Health, dental, and vision benefits
This position reports directly to the Chief Scientific Officer.
The pay range for this position at the start of employment is expected to be between $120,000 - $160,000/year. However, the base pay offered may vary depending on multiple factors, including job-related knowledge, skills, experience, and market factors.
