Andre Russell

About Andre Russell

I’m a Physician and PhD in Data Science focused on building intelligent automation systems that connect clinical reasoning, computational design, and real-world outcomes. My work transforms healthcare, research, and enterprise workflows into measurable, ethical, and data-driven processes.I develop and implement AI-powered automation using large language models (LLMs), agentic frameworks, and custom pipelines that learn, adapt, and amplify human decision-making. Across hospitals, startups, and research programs, I help organizations integrate automation safely—bridging the gap between innovation and clinical impact.Core Focus• AI-driven automation and intelligent workflow design (LLMs, LangChain, OpenAI, generative systems)• Clinical data science, research automation, and analytics pipelines• Decision-support systems and real-world evidence (RWE) registries• Digital health integration and telepractice automation• CI/CD and architecture for secure, compliant health environments• Evidence-based, ethical AI systems with measurable impactWhat I Do- Build and deploy automation tools for clinical, research, and operational ecosystems—from literature triage to patient data dashboards- Integrate Python, LangChain, n8n, and AWS to reduce redundancy and accelerate evidence generation- Design telehealth frameworks linking analytics, safety, and patient experience- Partner with multidisciplinary teams to translate data into decisions and decisions into continuous improvement.ToolboxPython | LangChain | OpenAI | R | SQL | REDCap | n8n | Tableau | Power BI | AWS | GitMission: To humanize automation—combining medical insight and data science to build systems that are smart, secure, and compassionate by design.

Experience

1. Medical Communications Scientific Writer

   Precision Medicine Group

   Jan 2026 — Present · US

   Translating clinical research into strategic, audience-specific scientific communications that support informed decision-making and improved patient outcomes. My work emphasizes data integrity, regulatory alignment, and clear evidence-to-action storytelling across multiple therapeutic areas, delivered through close collaboration with clients, editors, scientific directors, and cross-functional stakeholders.Key functions include:– Conducting comprehensive, structured literature searches across multiple sources/databases and synthesizing findings into actionable narratives.– Critically appraising study design and statistical outputs; accurately interpreting results, identifying limitations/bias risks, and contextualizing unexpected findings.– Developing content outlines with a defined story arc, key messages, and complete reference lists to support client-ready deliverables.– Producing high-quality drafts in multiple formats (slide decks, executive and comprehensive summaries, and meeting materials) tailored to the target audience.– Managing references and citations with full traceability—formatting, organizing, and annotating per client directives or house style.– Supporting Medical/Legal/Regulatory (MLR) review by addressing committee queries, implementing revisions precisely, and maintaining clear version control.– Managing multiple projects concurrently while meeting metrics-driven timelines and maintaining accountability for quality and consistency.This role bridges evidence synthesis and strategic communication—ensuring scientific content is accurate, balanced, compliant, and impactful for stakeholders across the medical and biopharma landscape.

Education

• Harvard University

  Master of Science in Health Data Science — Harvard T.H. Chan School of Public Health, Data Science

• University of Arizona College of Medicine - Phoenix

  Graduate Program: PHD Medicine