Quantitative Scientist

Company: Psilocybin Alpha
Location: San Francisco
Posted on: November 6, 2024

Job Description:

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 opportunityWe are a funded Public Benefit Corporation (PBC) building something that actually moves the needle on the global mental health crisis. (See for an article our cofounder Jimmy wrote about PBC's.)This is a hybrid role in SF.What you'll do

• Join 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 data.
• Contribute 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 most.
• Support high-priority initiatives by building new research cohorts and iterating in collaboration with clients and internal stakeholders.
• Support life sciences business development by conducting exploratory analyses of real-world data and evaluating data quality to assess feasibility of proposed research initiatives.
• Conduct 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, etc.
• Provide subject matter expertise on the tradeoffs of various statistical approaches and create analysis roadmaps to meet specific project objectives.
• Prepare abstracts, posters, oral communications, manuscripts, etc. for presentation at scientific conferences and peer-reviewed publications.
• Contribute to data pipelines for clinical research datasets to support Osmind's life sciences and internal scientific research.
• Grow our real-world data products by highlighting opportunities for improvement in depth of data capture and structure of research datasets.Requirements
  • PhD or Master's degree in a quantitative discipline such as applied statistics, mathematics, biostatistics, data science, epidemiology, health economics outcomes research, or a related discipline.
  • 3+ years full-time work experience conducting quantitative research in industry or consulting settings.
  • Experience 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 data.
  • Experience communicating results in reports and preparing formal scientific communications such as manuscripts, abstracts, and presentations.
  • Strong data intuition and data communication skills. Ability to communicate findings to both internal and external stakeholders and quickly align on next steps.
  • 3+ years using open-source programming languages (Python or R) for data cleaning, statistical analyses, data visualization, and generating reports.
  • Proficient in using SQL to clean data and build analysis datasets.
  • Experience consolidating and cleaning data from disparate sources.
  • Applied experience in core machine learning principles, such as cross-validation, feature selection, hyperparameter tuning, and model selection.
  • Experience using Git/Github and knowledge of version-control best practices.Nice to haves
    • Experience in the real-world evidence industry, such as a life sciences company, clinical research organization, or life sciences consulting firm.
    • Applied quantitative experience and related domain expertise in psychiatry, neuroscience, or similar mental health discipline.
    • Experience creating or contributing to SQL-based data transformation pipelines using dbt or similar tools.
    • Familiarity with AWS cloud workflows for data operations (RDS, EC2, S3, lambda, etc).
    • Previous startup experience.A successful first year might look like
      • Contribute to Biosciences research projects leading to novel scientific findings presented at conferences and/or publications.
      • Assist life sciences business development by building new research cohorts and assessing feasibility of new projects.
      • Design approaches and deliver impactful results on high-priority life sciences projects, ultimately impacting patients.About Us & More
        • The tl;dr: we're a of intellectually rigorous, highly collaborative, deeply caring, and fun team members. We take the work that we do very seriously, but we don't take ourselves too seriously. Sometimes you'll catch us singing karaoke, making memes, or going out for a run together.
        • Our co-founders, Lucia and Jimmy, made it to the .
        • We were ranked as one of .$134,000 - $148,500 a yearDepending on experience and locationThe reasonably estimated national salary range for this position is between 134,000 - 148,500, plus an equity package for eligible employees. Actual compensation will be commensurate with the candidate's experience and local cost of labor. In addition, Osmind offers a wide range of comprehensive and inclusive employee benefits including healthcare, dental, vision, generous family leave, FSA/DCFSA, mental health benefits, a 401(k) plan and match, and flexible paid time off.#LI-RemoteSome 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: .
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Keywords: Psilocybin Alpha, Richmond , Quantitative Scientist, Other , San Francisco, California