Epidemiologist

Axle•Bethesda, MD

11d

About The Position

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH). Axle's 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.

Requirements

Education: PhD, DrPH, or ScD in Epidemiology, computational biology, statistics, data science , or related field.
Experience: 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
Excellent written and verbal communication skills
Ability to work independently and meet deadlines
U.S. citizenship or permanent residency may be required

Nice To Haves

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

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