Senior Data Scientist & Analyst-Real World Evidence

at  Life Science Recruitment

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.

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 sinead.cullen@lifescience.ie

• 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