
Director, Health Informatics
Posted Sep 4

Posted Sep 4
This is a fully remote position, open to applicants in Virginia.
• Oversee Aptive’s health informatics practice collaborating with both government and commercial sectors.
• Utilize data science, decision intelligence, and analytics to enhance healthcare operations and elevate patient outcomes.
• Mentor and lead a senior data team while providing guidance.
• Ensure compliance with interoperability standards, security measures, and overall requirements.
• Gather, articulate, and manage client requirements effectively.
• Engage in establishing and overseeing new studies.
• Create algorithms and tools for data gathering and raw data analysis.
• Evaluate data quality, profile and clean data, and conduct exploratory data analysis.
• Design and implement operations research techniques, diagnostic and predictive models, as well as machine learning algorithms.
• Train and assess models using statistical expertise and extensive datasets.
• Deploy models in operational environments while considering provider workflows.
• Analyze and communicate results to healthcare providers and business stakeholders.
• Develop data visualization strategies to present findings effectively.
• Provide guidance to leadership and team members on technical tools, methodologies, and resources for both classified and unclassified information.
• Spearhead the application of machine learning, predictive analytics, prescriptive analytics, optimization, and innovative analytical techniques.
• Identify significant challenges and future requirements, analyze root causes, formulate solutions, and pinpoint process improvements.
• Assess decision systems, models, and tools; lead pilot initiatives and functional or technical change projects.
• Cultivate relationships with VA clients and strategic partners.
• 15+ years of professional experience and expertise in Health Informatics, Health IT, and/or Clinical Informatics.
• Advanced proficiency in Python, R, SQL, Java, Julia, Scala, and applications such as SPSS and SAS.
• 5+ years of experience in advanced data analysis (AI/ML).
• Extensive experience with data and AI/ML platforms including Azure ML, AWS AI/ML, DataBricks, Palantir, SnowFlakes, etc.
• Expertise in software/big data tools including Hadoop, Spark, and Kafka.
• Proficient in visualization tools such as PowerApps, PowerBI, Looker, Metabase, Tableau, seaborn, etc.
• Exceptional problem-solving, collaboration, and communication skills (both verbal and written), with fluency in MS Office.
• A minimum of a PhD, Master’s, or Bachelor’s degree in data science, statistics, or computer/information science or a related field.
• Preferred experience in healthcare, research, and consulting.
• Desired expertise in Electronic Health Record Management (EHRM) system integration and support.
• Direct experience supporting the Department of Veterans Affairs and/or Veterans Health Administration is a plus.
• Periodic travel to Aptive’s headquarters in Alexandria, Virginia.
• Equal opportunity employment.
• Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are strongly encouraged to apply.
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