Osmind is the premier platform for clinicians and researchers advancing new life-saving mental health treatments. Today, mental health disorders are one of the leading causes of death worldwide, especially among young adults, and are tied to shortening lifespans. While there have been developments in new psychiatric medications since the first FDA approval in 1954, today there is a growing movement among clinicians, patients, and researchers who are recognizing the need to accelerate new science.
The Osmind treatment platform is the first and only solution that solves specific challenges faced by neuropsychiatric clinics, spanning general psychiatry and interventional psychiatry (transcranial magnetic stimulation, ketamine, SPRAVATO®, psychedelic medicine, electroconvulsive therapy). The core electronic health record (EHR) technology is precisely developed for interventional treatment workflows and designed to support a strong therapeutic alliance, including journaling tools and assistance with health plan reimbursement, which is a significant access hurdle for millions of patients.
Research from our platform is already helping to set new standards for mental health interventions. For example, in the largest published real-world analysis of ketamine infusion therapy for depression, we teamed up with Stanford University School of Medicine to share findings in the Journal of Affective Disorders (March 2022). We have multiple ongoing research studies leveraging our proprietary real-world data, including an even larger ketamine analysis leveraging machine learning to predict treatment outcomes.
Osmind is a San Francisco–based public benefit corporation led by scientists, technologists, and psychiatrists. We are backed by top investors including DFJ Growth, General Catalyst, Future Ventures, Tiger Global, and Y Combinator.
The opportunity
We are a
series B funded Public Benefit Corporation (PBC) building something that actually moves the needle on the global mental health crisis. (See
here for an article our cofounder Jimmy wrote about PBC’s.)
What you’ll doJoin our cross-functional Biosciences team, where you’ll collaborate closely with our data and research teams to plan and deliver on research projects with Osmind real-world dataContribute to real-world evidence with both life sciences partners and academic research partners. Advance the development of breakthrough mental health treatments for the patients who need it mostSupport high-priority initiatives by building new research cohorts and iterating in collaboration with clients and internal stakeholdersSupport life sciences business development by conducting exploratory analyses of real-world data and evaluating data quality to assess feasibility of proposed research initiativesConduct cutting-edge research that directly impacts our field: Prepare statistical analysis plans and execute analyses on treatment outcomes, treatment utilization patterns, comparative effectiveness research, patient subtyping, treatment response prediction, etcProvide subject matter expertise on the tradeoffs of various statistical approaches and create analysis roadmaps to meet specific project objectivesPrepare abstracts, posters, oral communications, manuscripts, etc. for presentation at scientific conferences and peer-reviewed publicationsContribute to data pipelines for clinical research datasets to support Osmind’s life sciences and internal scientific researchGrow our real-world data products by highlighting opportunities for improvement in depth of data capture and structure of research datasetsRequirementsPhD or Master’s degree in a quantitative discipline such as applied statistics, mathematics, biostatistics, data science, epidemiology, health economics outcomes research, or a related discipline3+ years full-time work experience conducting quantitative research in industry or consulting settingsExperience writing analysis protocols and conducting statistical analyses on clinical data collected from human subjects, such as electronic health records, claims databases, observational studies, or clinical trials, with related methodological expertise in statistical analysis of observational dataExperience communicating results in reports and preparing formal scientific communications such as manuscripts, abstract, and presentationsStrong data intuition and data communication skills. Ability to communicate findings to both internal and external stakeholders and quickly align on next steps3+ years using open-source programming languages (Python or R) for data cleaning, statistical analyses, data visualization, and generating reportsProficient in using SQL to clean data and build analysis datasetsExperience consolidating and cleaning data from disparate sourcesApplied experience in core machine learning principles, such as cross-validation, feature selection, hyperparameter tuning, and model selectionExperience using Git/Github and knowledge of version-control best practicesSome candidates may see the list above and feel discouraged because they don't match all the items. Please apply anyway: there's a good chance you also have important skills we’ve missed! We are committed to diversity and building an equitable and inclusive environment for people of all backgrounds and experiences, and we're taking steps to meet that commitment. We especially encourage members of traditionally underrepresented communities to apply, including women, underrepresented people of color, LGBTQ+ people, veterans, and people with disabilities.
Osmind is a public benefit corporation and platform for clinicians and researchers advancing new life-saving mental health treatments. We recently published our first Public Benefit Report that chronicles how our team of scientists, technologists, and psychiatrists have been working to help solve the worldwide mental health crisis, advance responsible innovation and research, and help ensure robust access to care for patients of all backgrounds. Read the report here: https://www.osmind.org/pbc. 