Job Description
Position Objective: 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 impacts population health outcomes.
Duties and 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.
Basic Qualifications: - PhD, DrPH, or ScD in Epidemiology, computational biology, statistics, data science, or related field
- Minimum 5 years of post-doctoral experience in epidemiological research
- 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
- Proven track record of peer-reviewed publications
- Ability to work independently and meet deadlines
- U.S. citizenship or permanent residency may be required
Minimum 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
- Excellent written and verbal communication skills
*This is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job, email us at [click to reveal email address] recruiting@gapsi.com . You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.
Job Tags
Permanent employment, Full time,