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