Associate Director, DSPV Data, Technology and Innovation (AI)

Location: Fully remote and can be performed from anywhere; occasional travel for team meetings or events is expected.

Salary: $164,000–$213,000 annual

Company

hirify.global is a global biopharmaceutical company focused on transforming the lives of patients with serious and rare diseases.

What you will do

• Own the business lifecycle of pharmacovigilance safety systems, including safety databases, signal and risk management tools, reporting platforms, and analytics systems.
• Define business requirements, configuration decisions, access controls, release priorities, and system roadmaps in partnership with IT and DSPV leadership.
• Lead safety technology evaluations, implementations, data migrations, user acceptance testing, training, cutover, and post-implementation support.
• Manage technology vendors, contractors, service-level performance, escalations, renewals, contracts, and budgets.
• Develop DSPV dashboards and reporting capabilities, supporting compliance metrics, case processing, product safety, signal detection, and patient exposure analysis.
• Identify and manage AI use cases for pharmacovigilance, define pilot success criteria, evaluate results, and provide recommendations on scaling or stopping initiatives.

Requirements

• Bachelor’s degree in a scientific, computational, health-related, or information systems discipline.
• At least 7 years of experience in a biotechnology or pharmaceutical company, including at least 5 years working with pharmacovigilance systems, safety data, or PV analytics.
• Experience owning or leading an industry-standard safety database such as Oracle Argus, ArisGlobal LifeSphere/ARISg, or Veeva Vault Safety.
• Experience implementing safety systems, leading safety data migrations, managing technology projects, and working with vendors.
• Experience with computer system validation, user acceptance testing, change control, MedDRA coding, E2B standards, and global pharmacovigilance regulations.
• Understanding of AI and data systems, including data pipelines, integrations, model evaluation, performance monitoring, and acceptance criteria; familiarity with Snowflake, Qlik, Power BI, Tableau, and SQL.

Nice to have

• Advanced degree in a related field.
• Practical experience with AI, machine learning, natural language processing, or real-world evidence in pharmacovigilance or clinical development.
• Working knowledge of R, Python, or SAS.

Culture & Benefits

• Human-centered culture focused on patients, curiosity, collaboration, and meaningful scientific progress.
• Medical, dental, vision, and mental health coverage, wellbeing reimbursement, and an employee assistance program.
• Paid time off, family-forming and caregiver benefits, and flexible work schedules.
• 401(k) with company match, annual equity awards, ESPP, and company-paid life and disability insurance.
• Learning programs, LinkedIn Learning, workshops, leadership development, mentorship, employee resource groups, and volunteering opportunities.