Associate Director, Modeling & Simulation

• Location Remote - Waltham, MA, United States
• Base Pay $ - $ / Year
• Employee Type FT Exempt
• Required Degree Masters

At Viridian, we work with a sense of urgency for patients, creating unity with our team, the industry, and the community. We are committed to using proven science and engineering to improve the lives of people living with serious and rare diseases, and we are getting closer to achieving this goal every day.

Reporting to the Executive Director, Head of Modeling and Simulation, the Associate Director will play a key role in advancing the Modeling and Simulation function within Biometric Sciences. The role is responsible for leading hands‑on modeling and simulation initiatives that support quantitative decision‑making across clinical development programs. The Associate Director will develop, apply, and continuously enhance modeling approaches, including clinical trial simulation, innovative statistical methodologies, and disease specific models, to inform study design and portfolio strategy.

The position will also drive the implementation of technical capabilities, computational infrastructure, and analytical workflows that improve the efficiency, scalability, and impact of modeling and simulation activities. In partnership with Biometrics Sciences this position will also provide cross‑functional analytical support to departments such as Clinical Pharmacology and Scientific Communications.

This role may be based in our Waltham, MA headquarters, which would be a hybrid role, or it can also be fully remote. Our office‑based employees are required to work in the office three (3) days a week. If remote, travel to headquarters for meetings would be required at the discretion of management.

• Build, manage, and analyze a scalable, well‑curated clinical‑trial data repository by integrating raw and standardized datasets (e.g., SDTM, ADaM), harmonizing metadata, and incorporating relevant external/public data sources to support advanced statistical modeling, machine‑learning analyses, and cross‑study research
• Support multiple departments across the organization by delivering advanced quantitative and analytical expertise, including but not limited to:
  • Biostatistics:
    Provide analytical support for evaluating and selecting optimal study designs, leveraging simulation‑based methods to maximize probability of technical and operational success
  • Clinical Development: AI solutions to support efficient data review from on‑going clinical programs
  • Clinical Pharmacology:
    Conduct and support analyses of pharmacokinetic (PK) and pharmacodynamic (PD) data, including model informed drug development (MIDD) approaches and exposure–response evaluations
  • Scientific Communications:
    Generate analytical inputs and data driven insights to support the publication strategy, including figures, tables, and quantitative summaries for abstracts, posters, and manuscripts
• In collaboration with Head of Modeling and Simulation, contribute to the development and continuous optimization of biostatistical SOPs and templates to enhance efficiency and quality while meeting or exceeding industry best practices. Drive organizational innovation in clinical study design and analytical methodologies
• Contribute to strategic external collaborations within the biostatistics community, key opinion leaders, and external biostatistical consultants to strengthen scientific rigor and support innovation across the organization
• Drive a culture of innovation in study design, analytical methodologies, and operational execution to advance scientific rigor and organizational efficiency
• Promote a strong “ONE Team” culture across all functions by fostering collaboration and a unified focus on…