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Contact Info
Sinead Cullen
Life Science

01 507 9252
[email protected]
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Details

Senior Data Scientist & Analyst-Real World Evidence


Reference:SCA013174 Location: Cork
Qualification:DegreeExperience:3-4 Years
Job Type:PermanentSalary: Not Disclosed

Senior Data Scientist & Analyst-Real World Evidence
Our client, a global pharma company, are currently recruiting a Senior Data Scientist & Analyst to join their Value Evidence and Outcomes team on a permanent basis. This is an extremely exciting opportunity to join a pharma company who are world renowned for their excellence in drug development. As Senior Data Scientist & Analyst you will provide scientific influence and advanced analytics expertise in the generation of real-world evidence for the organisations portfolio. This role will generate Real World Evidence (RWE) insights by leveraging analytic, clinical, scientific, and technological expertise. You will advance data/analytical platforms for optimal use and deliver innovative tools/methods to further advance analytic outputs. Your role will range from analyzing real-world data, advancing health information standards and applications, and delivering innovative tools and improved practices to increase the efficiency/productivity of data analytics. You will deliver portfolio work and contribute to developing innovative capabilities, such as policy work, and RWE for regulatory decision-making.

Responsibilities

  • Observational RWE/Real World Data (RWD) Research Analysis
  • Provide scientific and analytical input to the study protocol and develop a statistical analysis plan for the RWE studies, particularly on studies using secondary data sources, such as claims data, electronic medical records data, etc
  • Provide expert input on the fit-for-purpose assessment of RWD, perform the quality checks of data, and support the feasibility analysis of data, including simple sample size estimation
  • Transform RWD sources to analysis-ready data sets to enable rapid generation of RWE
  • Apply the spectrum of advanced analytical methods to RWD, conduct appropriate statistical analysis, and deliver study results on time
  • Clearly Interpret study results and influence the project team to deliver scientifically robust RWE
  • Attend and influence external forums and conferences dealing with RWE analytics and clinical/health information, particularly regarding RWE
  • Communication of Results and Inferences
  • Collaborate with team members to write reports, draft abstracts/posters/manuscripts, and communicate study results
  • Assist with or be responsible for, communicating study results via regulatory submissions, manuscripts, or oral presentations in group settings, as well as for communicating one-on-one with key customers and presenting at scientific meetings
  • Therapeutic Area Knowledge
  • Understand disease states, competitive landscapes, and regulatory environment to enhance customer focus and collaboration and be seen as a strong scientific contributor
Requirements
  • Advanced degree in data analytics-related field (i.e. statistics, epidemiology and data science) or with 3- 5+ years of experience in real-world evidence, drug development
  • Proficient in the use of data analytic tools and analytics languages (i.e. R, Python, SAS, and SQL)
  • Hands-on experience with commonly used RWD sources (e.g., administrative claims, electronic health records)
  • Familiarity with basic observational study principles and study designs
  • Additional Skills/Preferences
  • Expertise in foundational data archetypes of structured and unstructured RWD, including various types of RWD
  • Interpersonal communication skills for effective customer consultation
  • Demonstrated ability to influence and collaborate within and across cross-functional teams
  • Technical expertise and application with working knowledge of experimental design and statistical analysis
  • Self-management skills with a focus on results for timely and accurate completion of competing deliverables
  • Resource management skills
  • Creativity and innovation
  • Demonstrated problem-solving ability and critical thinking
  • Business process expertise associated with critical activities (e.g., regulatory submissions)

For more information please contact Sinéad Cullen on +353879500821 or [email protected]