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Key Responsibilities and Required Skills for Therapy Research Analyst

💰 $75,000 - $115,000

HealthcareData & AnalyticsResearchMental Health

🎯 Role Definition

Are you passionate about the intersection of data, technology, and mental wellness? This role requires a highly motivated and detail-oriented Therapy Research Analyst to join our dynamic team. In this pivotal role, you will be at the forefront of our mission to enhance the effectiveness of therapeutic interventions. You will transform complex clinical data into clear, actionable insights that guide our clinical strategy, inform product development, and contribute to the broader scientific community. If you are a curious, analytical thinker with a drive to make a tangible impact on people's lives, we want to hear from you.

📈 Career Progression

Typical Career Path

Entry Point From:

  • Clinical Research Coordinator
  • Healthcare Data Analyst
  • Research Assistant

Advancement To:

  • Senior Research Analyst / Research Scientist
  • Clinical Data Science Manager
  • Director of Clinical Research

Lateral Moves:

  • Clinical Data Manager
  • Healthcare Informatics Specialist

Core Responsibilities

Primary Functions

  • Design and execute sophisticated statistical analyses using R, Python, or SPSS to rigorously evaluate the efficacy and effectiveness of various therapeutic programs and interventions.
  • Conduct comprehensive and systematic literature reviews of scientific journals to synthesize existing evidence, identify critical knowledge gaps, and inform the design of new research protocols.
  • Develop, manage, and maintain large, complex datasets containing sensitive information from clinical trials, patient-reported outcomes (PROs), and electronic health records (EHR).
  • Author and prepare detailed research reports, data summaries, and scientific manuscripts for publication in high-impact, peer-reviewed journals.
  • Create and deliver compelling presentations and posters summarizing key research findings for internal stakeholders and at national and international scientific conferences.
  • Collaborate closely with a cross-functional team of clinicians, data scientists, engineers, and product managers to translate complex research insights into actionable product features and clinical best practices.
  • Ensure the highest standards of data integrity and quality by developing and implementing rigorous data cleaning, validation, and quality control procedures.
  • Perform advanced statistical modeling, including but not limited to regression analysis, longitudinal data analysis, survival analysis, and mixed-effects models, to uncover factors influencing treatment outcomes.
  • Extract, transform, and manipulate large volumes of data from disparate sources using SQL and other data querying tools to create analysis-ready datasets.
  • Develop and maintain interactive data visualization dashboards using tools like Tableau or Power BI to communicate complex trends and outcomes to both technical and non-technical audiences.
  • Provide crucial analytical support for ongoing quality improvement and quality assurance initiatives aimed at enhancing the standard and consistency of patient care.
  • Translate complex statistical concepts and research findings into clear, accessible language for diverse stakeholders, including executive leadership and clinical staff.
  • Manage research project timelines, milestones, and deliverables from conception to completion, ensuring projects are delivered on schedule and align with strategic goals.
  • Meticulously document all research methodologies, data analysis plans, and code to ensure the reproducibility, transparency, and defensibility of our research.
  • Analyze unstructured qualitative data from patient surveys, interviews, or focus groups to provide rich, contextual insights that complement quantitative findings.

Secondary Functions

  • Assist in the preparation and writing of grant proposals and funding applications to secure external research funding.
  • Contribute to the ethical oversight of research by preparing, submitting, and managing Institutional Review Board (IRB) applications, amendments, and continuing reviews.
  • Stay abreast of the latest advancements, methodologies, and technologies in mental health research, clinical data science, and statistical analysis.
  • Perform statistical power analyses and sample size calculations to ensure future studies are adequately powered to detect meaningful effects.
  • Support the design, validation, and implementation of new clinical assessment tools and patient-reported outcome measures (PROMs).
  • Mentor junior analysts and research assistants, providing guidance on research methods and data analysis techniques.
  • Support ad-hoc data requests and exploratory data analysis from various business units.
  • Contribute to the organization's data governance strategy and clinical data roadmap.
  • Participate in sprint planning and agile ceremonies as part of a multidisciplinary product and research team.

Required Skills & Competencies

Hard Skills (Technical)

  • Advanced proficiency in at least one statistical programming language such as R, Python (with libraries like Pandas, SciPy, StatsModels), or SAS.
  • Strong experience with statistical software packages like SPSS or Stata.
  • Expertise in SQL for complex data extraction, transformation, and database management from relational databases.
  • Demonstrated experience with data visualization tools (e.g., Tableau, Power BI, Looker, R Shiny) to create insightful dashboards and reports.
  • Solid understanding of a wide range of statistical methods, including regression models, longitudinal data analysis, mixed-effects models, and survival analysis.
  • Experience working with clinical research data, such as data from randomized controlled trials (RCTs), observational studies, or electronic health records (EHR).
  • Familiarity with data management principles and best practices for ensuring data quality and integrity.

Soft Skills

  • Exceptional analytical and critical thinking skills with a proven ability to solve complex problems with data.
  • Meticulous attention to detail and a commitment to producing high-quality, accurate work.
  • Excellent scientific writing and verbal communication skills, with the ability to present complex information clearly to diverse audiences.
  • Strong collaborative spirit and ability to work effectively within cross-functional teams.
  • High level of independence, self-motivation, and ability to manage multiple projects simultaneously in a fast-paced environment.

Education & Experience

Educational Background

Minimum Education:

  • Bachelor's Degree in a quantitative, scientific, or clinical field.

Preferred Education:

  • Master's Degree or Ph.D. in a relevant field.

Relevant Fields of Study:

  • Psychology / Clinical Psychology
  • Public Health / Epidemiology
  • Statistics / Biostatistics
  • Data Science
  • Neuroscience

Experience Requirements

Typical Experience Range: 2-5 years of direct experience in a research or data analysis role within a healthcare, academic, or clinical research setting.

Preferred: Experience specifically in mental or behavioral health research is highly desirable. Experience with regulatory submissions (e.g., IRB) and grant writing is a plus.

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