Epidemiologist - on-site

Nextonic Solutions’ team at The Laboratory of Heart Disease Phenomics at the National Heart, Lung, and Blood Institute (Heart Disease Phenomics | NHLBI, NIH) is seeking an experienced Epidemiologist with expertise in data management and analysis. This position focuses on cardiovascular disease research and offers an opportunity to contribute to cutting-edge epidemiology research that impact population health outcomes.

Key Responsibilities

• Design and implement comprehensive data management systems for cardiovascular disease epidemiological studies
• Conduct statistical analyses of complex datasets using advanced methodologies
• Develop data collection protocols and quality assurance procedures for cardiac disease surveillance
• Prepare technical reports, manuscripts, and presentations for scientific audiences
• Collaborate with multidisciplinary research teams
• Ensure compliance with data security, privacy regulations, and research ethics standards
• Provide epidemiological expertise to support research proposals and grant applications

Qualifications

Education: PhD, DrPH, or ScD in Epidemiology, computational biology, statistics, data science , or related field.

Technical Skills:

• Advanced proficiency in statistical software (SAS, R, Stata, or Python)
• Expertise in database management systems (SQL, REDCap, or similar), multi-site data harmonization and standardization
• Data governance and quality assurance methodologies
• Strong knowledge of epidemiological study designs and analytical methods
• Experience with large-scale health datasets including EMR, real world and administrative data

Other Requirements:

• Proven track record of peer-reviewed publications
• Excellent written and verbal communication skills
• Ability to work independently and meet deadlines
• U.S. citizenship or permanent residency may be required

Preferred Qualifications:

• Experience with chronic disease research or clinical epidemiology
• Knowledge of cardiac risk factors, outcomes, and prevention strategies
• Familiarity with cohort studies
• Prior NIH, or federal agency experience including with federal research protocols and regulations
• Proficiency in data visualization tools (MS Power BI or Prism, etc.)
• Experience with machine learning or advanced modeling techniques