Manager, Companion Animals Global On-market Clinical Studies & Outcomes Research

About This Opportunity

Our talent team is representing a confidential global leader in animal health sciences. They are seeking a Manager of Companion Animals Clinical Studies & Outcomes Research to serve as a key scientific expert supporting their worldwide pet care portfolio. This role will plan and execute research demonstrating the clinical, emotional, and economic value of therapeutics and services for companion animal customers across diverse markets.

You will work closely with regional colleagues, technical services, marketing, medical R&D, regulatory affairs, and global portfolio teams. Research will be conducted in partnership with veterinary practices, pet owners, contract research organizations, universities, and internal facilities, with a focus on product performance, differentiation, and customer value.

Responsibilities

• Develop and execute clinical studies and outcomes research strategies supporting multiple companion animal brands across global markets
• Design and implement pharmacoeconomic and outcomes research models to quantify value propositions for companion animal products
• Collaborate with regional teams, marketing, technical services, and portfolio groups to align research with customer and market needs
• Support global lifecycle planning, integrating Phase 4 and outcomes research principles into product development and post-launch strategies
• Publish and present research outputs internally (sales, marketing, technical services, global teams) and externally (customers, industry meetings, peer-reviewed publications)
• Ensure dissemination of research results across markets, facilitating knowledge transfer and synergies
• Engage with global key opinion leaders, universities, and contract research organizations to expand the scientific evidence base

What We're Looking For

Education:

• PhD, DVM, or MS in Veterinary Medicine, Animal Science, Outcomes Research, Epidemiology, Health Economics, Public Health, or a related quantitative field; companion animal focus strongly preferred
• Advanced training in epidemiology and biostatistics (e.g., causal inference, longitudinal/mixed models, survival analysis) is strongly preferred

Experience:

• 5+ years of relevant experience in companion animal health or outcomes research, ideally with multi-market or global exposure and collaboration with clinics, referral centers, or practice networks
• Proven track record designing and executing outcomes and real-world evidence studies in companion animals (e.g., comparative effectiveness, patient/owner-reported outcomes, adherence, utilization), including economic analyses and decision modeling
• Demonstrated ability to translate complex scientific and economic findings into clear, customer-focused insights for veterinarians, practice owners, payers/insurers, and internal stakeholders
• Strong oral and written communication skills with experience presenting to diverse audiences (clinical, medical, commercial, regulatory), including publication and conference presentations
• Proven expertise in scientific writing, including the ability to synthesize complex information and collaborate on the development of research papers, protocols, and project summaries
• Proven cross-functional collaboration with Medical/R&D, Commercial, and Regulatory teams to align evidence with value messages and decision needs

Technical Skills:

• Proficiency in Microsoft Office (PowerPoint, Word, Excel) for executive-ready deliverables and data summaries
• Broad knowledge of companion animal health across species (canine, feline), clinical practice workflows (general practice vs referral), and prevalent conditions impacting outcomes and quality of life
• Statistical analysis expertise (R, Python, SAS, or other software) strongly preferred, including design and analysis of observational studies and pragmatic trials
• Health economics and outcomes research methods (cost-effectiveness/budget impact modeling, patient/owner-reported outcomes measurement, utility elicitation, causal inference) with application to companion animal contexts
• Experience with companion animal data sources (practice management systems/electronic medical records, insurance claims, registries) and data engineering basics for cohort building and data quality assessment
• Advanced modeling skills: generalized linear/mixed models, survival/time-to-event analyses, longitudinal/clustered data methods (e.g., mixed effects), and sensitivity analyses
• Data visualization and communication: ability to build clear, persuasive charts/dashboards (e.g., ggplot, matplotlib, Power BI/Tableau) and translate statistical results for clinical and business audiences
• Reproducible analytics and governance: version control, documentation and audit-ready outputs; familiarity with privacy/ethical standards for veterinary data

Other Requirements:

• Ability to work effectively in a global, matrixed environment across functions and geographies
• Flexibility to manage research projects with variable timelines and regional needs
• International travel (20–30%, variable)
• Ability to work in a home office environment with reliable high-speed internet and a confidential workspace suitable for handling sensitive data

How We Work With You

Our talent acquisition process begins when you apply through Get A Job.ai. One of our recruiters will review your credentials and conduct an initial screening to assess fit. If we believe you are a strong match, we will submit your profile to our client for consideration. Please note: candidates should not contact the client organization directly, as all coordination will be managed through our recruiting team.

Pay

Pay information will be discussed during the screening process based on experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to equal opportunity employment. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.