Some opportunities happen only once in a lifetime - like a job where you have the chance to change lives. At Alexion, people living with rare and devastating diseases are our Guiding Star. We are driven to continuously innovate and create meaningful value in all we do to help patients and families fully live their best lives. We value the uniqueness and diversity of our employees and recognize that nurturing the diverse perspectives and strengths of our people translates into innovative breakthroughs for patients.

This position is based in Dublin, Ireland.

This is what you will do:

The Senior Manager/ Associate Director (level depending on experience), Global Health Economics and Outcomes Research (GHEOR) Analytics supports and informs the strategic development and execution of health economics and outcomes research strategies and tactics to inform patient access decisions. Through key leadership and partnership across cross-functional teams, the job holder supports global HEOR strategy with evidence that will generate new insights for disease area that will, in turn, help shape clinical development strategies, real world evidence and data syntheses to build evidence for value decisions of therapies. This collaboration builds advanced analytics, data and digital strategies to demonstrate and differentiate the value proposition and corresponding scientific evidence of Alexion products for payers, patients, clinical institutions and other key influencers. The associate director Global HEOR partners with HEOR Therapeutic Area Leads and works closely with epidemiology, data sciences and bio-statistics to conduct advanced data science and analytics projects to support needs of payers and fund holders for all key global markets. This role reports directly to the Sr. director, Global HEOR Analytics.

You will be responsible for:

The Sr. Manager/Associate Director of HEOR Analytics will be primarily responsible for overseeing and executing analytics projects as part of evidence generation activities for multiple Therapeutic Areas, managing licensed data sources, developing analytical methods and processes within HEOR and ensuring compliance with SOPs to produce quality and timely deliverables.

Accountable for the following:

• Utilizes in-depth knowledge of advanced analytical approaches, data sciences/ statistical methods and portfolio strategy in combination with health economics and outcomes research and epidemiology best practices.
• Possesses extensive experience and proven skills in the use of analytics tools and applications such as Python, R and familiarity with machine learning, text mining and NLP packages and tools.
• Partners with the Therapeutic Area (TA) heads to identify data and evidence needs that will provide a competitive advantage to differentiated payer evidence and demonstrate value to patients.
• Continually monitors the global marketplace for data sources and data providers suitable to demonstrate the value and differentiation of assets within the therapeutic area portfolio
  
  
  

Ensures Alexion maintains external credibility and relationships to validate research findings and communications. Accountable for the following:

• Cultivates and maintains relationships with key experts, influencers, and customer segments to foster and maintain Alexion’s credibility to support the value and reimbursement of Alexion products
• Delivers presentations on behalf of Alexion at various industry and scientific forums and/or contribute to publications
• Maintains the relationship with external agencies and monitors their performance to ensure that performance and deliverables meet business expectations
  
  
  

Contributes to the global HEOR analytics infrastructure to provide direction and guidance to HEOR teams. Accountable for the following:

• Develops best practices in HEOR analytics including approaches to areas including data analytics, statistical methodologies, data analytics and sources that provide scientifically sound protocols, policies, tools and outcome impact.
• Identify areas for process improvements, economies of scale, and other quality and efficiency measures
  
  
  

You will need to have:

• BS/MS/MA in Statistics, Biostatistics, Computer Science, Mathematics and/or PhD or academic training in a quantitative sciences.
• 5+ years prior experience in data sciences/biostatistics, analytical programming using R, Python, SAS and other languages in the biopharmaceutical/pharmaceutical industry.
• Hands on experience with advanced analytics applying machine learning and AI methods to big data sets to develop classification and prediction models, deploying models for practical applications.
• Experience with RWE claims, EMR, registry and clinical trial data and strong understanding of the data formats, standards and ontologies.
• Hands on experience with RShiny and similar visual analytics frameworks such as Tableau, Spotfire, Qlik developing dashboards.
• Experience coding and working in collaborative cloud computing environments using tools such as Git, Jupyter notebooks etc.
• An excellent understanding of the roles and responsibilities of all related disciplines in both R&D such as Biostatistics, Epidemiology, Medical affairs, Payer Value and Access and commercial organization.
• Thorough understanding of the field of Health Technology Assessment at a global level and experience of successful negotiations through the HTA processes
• Knowledge of the drug development and commercialization process
• Attention to detail while managing multiple projects under tight deadlines
• Recognized as a technical expert and project team leader with a proven track record of effectively managing, influencing and developing people including those who are not direct reports: demonstrated ability to lead and deliver results in a matrix environment, and solve complex issues that cross multiple stakeholders
• Excellent interpersonal skills with a track record of effectiveness as a team player; excellent oral/written communication and presentation skills
• Flexibility and adaptability to internal and external change
  
  
  

We would prefer for you to have:

• Experience and knowledge in rare disease conditions helpful, but not mandatory.
• Certifications in cloud computing and some understanding of web development will be valuable for this role.