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Role Description
This position supports "Essex, an Emmes Company". Essex seeks a Subject Matter Expert (SME) in Epidemiology & Clinical Data Science to help provide senior clinical and scientific leadership for projects involving clinical research, real-world evidence (RWE), and data-driven health research.
• Advise on study design, statistical methodology, and interpretation of complex health data.
• Guide the standardization and integration of clinical and trial data into common data models.
• Ensure deliverables meet regulatory, quality, and client requirements.
• Collaborate across multidisciplinary teams (clinical, data science, engineering, and program leadership).
• Translate scientific findings into actionable insights and scalable, researcher-facing products.
Responsibilities
• Serve as the clinical/scientific SME and task lead for complex clinical research and data science activities.
• Engage with stakeholders (scientific investigators, client leadership, and cross-functional teams) to synthesize needs, communicate findings, and deliver executive-level briefings and presentations.
• Provide clinical and translational perspective to data science and AI/ML teams.
• Participate in all phases of project execution (planning, requirements, analysis, design, integration, documentation, implementation, and operations).
• Advise on development and adoption of clinical data standards and data dictionaries.
• Coordinate, curate, and interpret clinical trial and observational data.
• Ensure delivery within established timelines, budgets, and resource constraints.
• Lead or contribute to quality assurance (QA) reviews of scientific deliverables.
• Mentor and coach analysts, researchers, and junior staff in epidemiology/biostatistics methods.
Required Skills
• Doctorate-level or medical degree-level clinical/scientific expertise.
• Demonstrated data science and quantitative analysis experience.
• Strong epidemiology and biostatistics foundation.
• Hands-on analytic capability with common tools (e.g., R and SQL).
• Experience with clinical research execution and evidence generation.
• Excellent written and verbal communication skills.
• Ability to work independently under general direction.
Bonus Points
• Experience collaborating with cross-functional AI/ML teams on healthcare use cases.
• Good Clinical Practice (GCP) training and familiarity with regulatory expectations.
• Experience translating heterogeneous clinical data into standardized representations.
• Experience in occupational/environmental health and/or chronic disease research domains.
• Demonstrated mentoring and training experience for students and health professionals.
Qualifications
• Doctorate-level degree (e.g., MD/PhD) with twelve (12) years of progressively responsible experience.
• Proven history of achievement in a scientific/clinical setting.
• Eligibility to work in the United States and to obtain/maintain a government Public Trust clearance, if required.
Benefits
• Flexible Approved Time Off
• Tuition Reimbursement
• 401k Retirement Plan
• Work From Home Anywhere in the US
• Maternal/Paternal Leave
• Casual Dress Code & Work Environment
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