Director/Senior Director, HEOR Modeling and Evidence Synthesis

Axsome Therapeutics•New York, NY

10h•$220,000 - $285,000•Hybrid

About The Position

Axsome Therapeutics is seeking a Director/Senior Director, HEOR Modeling and Evidence Synthesis to serve as the company’s senior technical expert for health economic modeling and comparative evidence generation. This hands-on role will conceptualize, build, validate, interpret, and communicate fit-for-purpose models supporting marketed products and pipeline assets across rare and prevalent CNS conditions. The Director/Senior Director will lead the scientific strategy and execution of cost-effectiveness, budget impact, disease, and other decision-analytic models; and lead systematic literature reviews, indirect treatment comparisons, and formal network meta-analyses. The individual will partner closely with HEOR Product Leads, HEOR Analytics, Medical Strategy, Market Access, Publications, and other cross-functional colleagues to translate clinical, epidemiologic, economic, and patient-centered evidence into decision-ready insights, payer-relevant materials, and high-quality scientific publications. This role is based at Axsome’s HQ in New York City with an on-site requirement of at least three days per week.

Requirements

PhD, PharmD, MD, DrPH, or relevant Master’s degree in health economics, economics, operations research, decision science, epidemiology, biostatistics, public health, outcomes research, or a related quantitative discipline.
10+ years of relevant HEOR, health economic modeling, and evidence-synthesis experience in pharmaceutical, biotechnology, medical device, consulting, or academic setting, with substantial experience supporting biopharmaceutical products.
Demonstrated record of independently leading multiple complex economic models across different product types, lifecycle stages, therapeutic areas, and both rare and prevalent conditions.
Demonstrated understanding of the Medicare & Medicaid ecosystem; experience with long-term care evidence, coverage, or decision-making is a plus.
Demonstrated hands-on experience with U.S. ICER assessments, including critical evaluation of ICER economic models and evidence reports and development of analyses or responses supporting manufacturer engagement.
Demonstrated experience conducting systematic literature reviews and formal network meta-analyses, including protocol development, statistical execution, interpretation, and reporting.
Strong track record of peer-reviewed publications and scientific presentations, including authorship of modeling or evidence-synthesis research.
Ability to work on site Monday, Tuesday & Thursday.
Expert knowledge of decision-analytic modeling, simulation methods, survival analysis, uncertainty analysis, model calibration, validation, and good modeling practices.
Advanced proficiency developing transparent, auditable models in Microsoft Excel; proficiency in R and/or other relevant statistical or simulation software strongly preferred. VBA, Python, TreeAge, or specialized simulation software experience is desirable.
Deep understanding of clinical, epidemiologic, utility, resource-use, cost, and comparative-effectiveness inputs required for model development, including methods for extrapolation and treatment-effect estimation.
Expertise in systematic review methods, indirect comparisons, and network meta-analysis; ability to evaluate study quality, bias, heterogeneity, inconsistency, and applicability to the target decision problem.
Knowledge of payer evidence requirements, AMCP dossiers, value communications, reimbursement and access environments, and relevant modeling and evidence-synthesis guidelines.
Experience designing or conducting analyses using administrative claims and/or electronic health records is a plus.
Excellent writing, presentation, and interpersonal skills, with the ability to translate complex methods, uncertainty, and tradeoffs into actionable recommendations for senior and cross-functional audiences.
Collaborative, adaptable, diplomatic, detail-oriented, and comfortable navigating ambiguity.

Nice To Haves

Launch and lifecycle-management experience is strongly preferred; neuroscience experience is preferred.

Responsibilities

Responsible for end-to-end development of health economic models, from conceptualization and technical specifications through programming, validation, adaptation, reporting, interpretation, and external communication in partnership with HEOR Product Leads and cross-functional stakeholders.
Design and develop fit-for-purpose models, including cost-effectiveness and cost-utility models, cost-consequence analyses, budget impact models, decision trees, cohort and patient-level state-transition models, partitioned-survival models, discrete-event simulations, microsimulations, and disease-progression and natural-history models, as appropriate.
Select appropriate modeling approaches reflecting disease characteristics, product maturity, available evidence, stakeholder requirements, and intended use, including both rare and prevalent conditions.
Develop transparent model structures, assumptions, inputs, parameter distributions, and validation plans; conduct deterministic, probabilistic, scenario, threshold, and structural uncertainty analyses.
Lead internal and external technical review and validation of models; ensure reproducibility, version control, quality control, complete technical documentation, and adherence to good modeling practices.
Partner with HEOR Product Leads to prioritize modeling and evidence-synthesis needs within integrated evidence generation plans and product strategies.
Provide model-based insights to inform evidence generation planning, target product profile assessment, pricing and access strategy, launch readiness, clinical development, and lifecycle management in partnership with HEOR Leads.
Serve as Axsome’s internal technical authority on the Institute for Clinical and Economic Review (ICER) methods, evidence expectations, and economic model critique.
Partner with HEOR Leads to translate complex modeling findings into clear messages and evidence for payer engagement, AMCP and global value dossiers, field medical materials, scientific communications, and internal decision-making, consistent with applicable review and compliance requirements.
Establish modeling and evidence-synthesis standards, templates, validation expectations, and reusable technical assets; mentor colleagues and strengthen organizational capability without dependence on formal direct reports.
Lead or directly conduct systematic literature reviews supporting clinical and economic value assessment, including research question development, search strategy review, screening, data extraction, risk-of-bias assessment, evidence tables, synthesis, and reporting.
Conceptualize, conduct, and critically appraise indirect treatment comparisons and formal network meta-analyses using appropriate frequentist or Bayesian methods.
Evaluate network connectivity, transitivity, heterogeneity, inconsistency, effect modifiers, proportional hazards assumptions, and other methodological considerations; design sensitivity and scenario analyses to test robustness.
Partner with HEOR Leads to translate evidence synthesis outputs into economic models, value dossiers, payer evidence, strategic evidence plans, and scientific communications.
Advise HEOR Leads and cross-functional stakeholders on modeling strategy, evidence tradeoffs, uncertainty, methodological limitations, and implications for payer, access, medical, and publication strategies.
Communicate complex methods and findings clearly to technical and non-technical audiences, including executive stakeholders, cross-functional teams, and external collaborators.
Influence without direct authority by building alignment, setting technical standards, and enabling consistent, high-quality evidence generation across products and lifecycle stages.