Senior Data Scientist & Analyst-Real World Evidence
at ScientificJobsie
Cork, County Cork, Ireland -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 20 May, 2024 | Not Specified | 23 Feb, 2024 | 3 year(s) or above | Sql,Sas,Drug Development,Experimental Design,Management Skills,Python,Communication Skills,Creativity,Regulatory Submissions,Email,Critical Thinking | No | No |
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Description:
Reference:SCA013174
Location: Cork
Qualification:Degree
Experience:3-4 Years
Job Type:Permanent
Salary:Not Disclosed
May be suitable for: Data Management, Health Economist, Health Informatics, Senior Scientist
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]
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
REQUIREMENT SUMMARY
Min:3.0Max:4.0 year(s)
Pharmaceuticals
Analytics & Business Intelligence
Clinical Pharmacy
Graduate
Proficient
1
Cork, County Cork, Ireland