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Ai Director Health Jobs in Reston, VA (NOW HIRING)

We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve ... Director, Federal Health Location: McLean, VA (hybrid) Reporting to: SVP, Federal Health Terms ...

Flexible Spending Accounts: * Healthcare (FSA) * Parking Reimbursement Account (PRK) * Dependent ... NIST AI RMF compliance. Technical Skills: The Assistant Director must possess deep, hands-on ...

Director, Business Development

Reston, VA · On-site

$120 - $180/hr

... direct path for meaningful transformation. Headquartered in Reston, Va., Empower ... AI leverages three decades of experience solving complex challenges in Health, Defense, and ...

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Ai Director Health information

See Reston, VA salary details

$58.3K

$105.1K

$153.5K

How much do ai director health jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai director health in Reston, VA is $105,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $123,300.00 per year, depending on experience, location, and employer.

How to become an AI director health?

To become an AI Director in health, candidates typically need a strong background in computer science, data science, or healthcare, along with extensive experience in artificial intelligence, machine learning, and healthcare applications. Advanced degrees such as a master's or Ph.D. in relevant fields, along with leadership skills and familiarity with healthcare regulations and data privacy, are often required.

What is the difference between Ai Director Health vs Data Scientist?

AspectAi Director HealthData Scientist
Required CredentialsAdvanced degrees in AI, health informatics, or related fields; experience in healthcare AI projectsDegree in computer science, statistics, or related fields; proficiency in data analysis and programming
Work EnvironmentHealthcare organizations, AI development teams, research institutionsTech companies, healthcare analytics firms, research labs
Industry UsageDesigns AI strategies for healthcare solutions, oversees AI project implementationBuilds models, analyzes data, supports AI projects with insights

While both roles involve working with data and AI, the Ai Director Health focuses on leading AI initiatives in healthcare, managing teams, and strategic planning. In contrast, Data Scientists primarily analyze data and develop models to support AI applications. The Ai Director Health has a broader leadership role, often requiring experience in healthcare and AI strategy, whereas Data Scientists focus on technical data analysis and modeling.

What are the key skills and qualifications needed to thrive as an AI director in health?

To thrive as an AI Director in Health, you need deep expertise in artificial intelligence, data science, and healthcare systems, typically supported by an advanced degree in computer science, biomedical engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), healthcare data standards (like HL7 or FHIR), and relevant regulatory certifications are often required. Strong leadership, strategic vision, and the ability to communicate complex technical concepts to diverse stakeholders are crucial soft skills. These skills and qualities are vital to drive innovation, ensure regulatory compliance, and effectively integrate AI solutions that improve patient outcomes and operational efficiency.

How does an AI director in health typically collaborate with clinical teams and IT departments to implement new AI solutions?

An AI Director in Health regularly works alongside clinical professionals to understand patient care needs and identify areas where AI can enhance outcomes. They also coordinate with IT departments to ensure the safe and compliant integration of AI tools into hospital or healthcare systems. Frequent cross-functional meetings, project planning sessions, and pilot program reviews are common collaborative approaches. This teamwork ensures AI solutions are not only technically sound but also practical and beneficial for frontline healthcare staff and patients.

What is an AI director in health?

An AI Director in Health is a leadership role responsible for overseeing the development, implementation, and management of artificial intelligence technologies within healthcare organizations. They work to integrate AI solutions that improve patient care, streamline operations, and support clinical decision-making. This role involves collaborating with healthcare professionals, data scientists, and IT teams to ensure AI tools are ethical, secure, and aligned with regulatory standards. AI Directors also stay updated on the latest advancements in AI and assess how they can be applied to enhance healthcare outcomes.
What cities near Reston, VA are hiring for Ai Director Health jobs? Cities near Reston, VA with the most Ai Director Health job openings:

Director Health Economics & Outcomes Research (HEOR)

BioNTech SE

Gaithersburg, MD

$168K - $268K/yr

Full-time

Re-posted 18 days ago


Job description

London, United Kingdom; Cambridge, US; Gaithersburg, US; Mainz, Germany; New Jersey, US   |   full time   |   Job ID: 11271 

About the role:

As the Global HEOR Director, you will be at the forefront of advancing BioNTech's mission by driving impactful health economics and outcomes research strategies. In this role, you will shape value evidence-based approaches that contribute to global market access and reimbursement success, ensuring patients worldwide benefit from our innovative therapies. You'll collaborate with cross-functional teams in a dynamic environment that values scientific rigor and methodological advancements.

Your work will directly influence clinical development decisions, regulatory submissions, and payer communications & interactions. By leveraging your expertise in HEOR methodologies, real-world evidence, and cost-effectiveness analysis, you'll play a pivotal role in enhancing BioNTech's ability to deliver transformative treatments to diverse populations.

Your contribution:

  • Develop and execute Global value evidence generation plans for systematic literature reviews (SLR), indirect treatment comparisons (ITC), cost-effectiveness analyses (CEA), budget impact analyses (BIA), real-world evidence (RWE), and patient-reported outcomes (PRO) to optimize clinical development decisions across all stages of drug development 
  • Conduct global epidemiology literature reviews to inform multi-regional clinical trial site selection and recruitment strategies
  • Provide guidance on FDA regulations related to patient-reported outcomes (PROs) and patient-focused drug development (PFDD), ensuring alignment with labeling claims
  • Prepare regulatory-grade documents such as FDA/Global Regulatory briefing books for PRO Endpoint implementation, epidemiology, and pediatric investigation plans
  • Lead the implementation of robust evidence synthesis strategies to support global pharmaceutical launches and reimbursement dossiers across HTA markets & Non HTA Markets like PICOS Simulation/Scoping, PICOS feasibility assessment and development JCA dossiers
  • Lead the development of early advice (EA) dossiers (Country level and JSC) and actively participate in discussion with relevant stakeholders on the value of the clinical program. Stay at the forefront of industry trends and integrate emerging methodologies into evidence synthesis plans including the use of AI in SLR/ITCs/ RWE and Global Value Evidence tool kit development
  • Collaborate with key opinion leaders, including medical experts, through structured engagements like advisory boards and Delphi panels
  • Develop pre-approval dossiers, launch models (CEA/BIA), tools, relevant Health Care Economic Information (HCEI) training materials to support US Account Management teams, Medical Science Liaisons, and field-based HEOR professionals
  • Support other HEOR team members by reviewing their evidence generation plans, publications and offering constructive- solution oriented feedback.
  • Mentor HEOR fellows and early-career team members while providing constructive feedback on evidence generation plans 

 

A good match:

  • MS required; Doctoral degree (PhD/PharmD/MD) preferred in Public Health, Epidemiology, Health Economics, or related fields with significant experience conducting HEOR research 
  • At least 5 years of relevant experience (or 10 years with MS degree) conducting HEOR research across methodologies such as SLR, ITC/NMA/MAIC/STC, CEA/BIA models, RWE designs, and PRO analytics 
  • Expertise in US/Ex-US real-world data sources (e.g., Komodo, Optum, Medicare RIF) with proficiency in study design evaluation and improvement
  • Experience with eCOA implementation preferred; familiarity with FDA COA Type C meetings and negotiating PRO label claims a plus
  • Proven track record of peer-reviewed publications showcasing HEOR expertise across multiple domains
  • Deep understanding of EU-HTA requirements including JSC/EA/JCA implementation alongside knowledge of global health technology assessment guidelines
  • Excellent communication skills with experience presenting HEOR research to payers/population health decision-makers

Join BioNTech's dedicated team to lead transformative health economics research that shapes the future of healthcare globally!

Your benefits and remuneration:

If the position is filled in the US, the Expected Pay Range is $168,100/year to $268,700/year + benefits, annual bonus & equity (bonus and equity is variable and dependent on company and individual performance). Compensation for the role will depend on several factors, including responsibilities of the job, education, experience, knowledge, skills, and abilities. 
Compensation at other locations may vary significantly. 

BioNTech is committed to the wellbeing of our team members and offers a variety of benefits in support of our diverse employee base. We offer competitive remuneration packages which is determined by the specific role, location of employment and also the selected candidate's qualifications and experience.

Note: The availability, eligibility and design of the listed benefits may vary depending on the location. The final requirements for the individual use of our benefits are based on the company's internal policies and applicable law.

How to apply:

Apply now by sending us your application documents including Curriculum Vitae, copy of ID, copies of degree certificates and professional certificates, motivation letter as well as your contact details via our online form.

Please note:

Only applications sent via our online form shall be considered. By submitting your application, you acknowledge that a background check will be conducted as part of the recruitment process in accordance with applicable laws and regulations. If you are considered for the position, BioNTech will conduct the background check through our service provider 'HireRight'. You will be informed accordingly by your BioNTech-Recruiter.

We are looking forward receiving your application.