Senior Clinical Information Scientist
3 days ago
Senior Clinical Information Scientist
Location - Remote
Duration - 6 months initially
Rate - up to £465 per day (negotiable) - Outside IR35
At SRG we are partnered with a global pharmaceutical company who are searching for a Senior Clinical Information Scientist to join their experienced team. This is an exciting role within their prominent Oncology franchise where the ideal candidate will play a key supporting role in clinical design, submission and interpretation by identifying, benchmarking, extracting and presenting back meaningful data from competitor intelligence information sources.
The Role includes the following responsibilities:
- Support decision-making in clinical design, submission and interpretation by identifying, benchmarking, extracting and presenting back meaningful facts and data via internal and external competitor intelligence information sources.
- Use techniques such as text mining and data visualization to extract key relevant information enabling timely and objective clinical study design decisions.
- Maintain a repository of key data, bringing together key historical decisions for the wider team to use and refer to.
- Plan and work independently and take responsibility for specific deliveries within a drug project, ensuring a high level of quality is built into deliverables.
- PhD or MS in data science or other advanced degree in life sciences with postdoctoral or other training/work in Medical/Health Informatics or related field.
- Experience in real-world evidence and familiarity with health economics/epidemiology, and quantitative science such as health outcome modeling.
- Expertise in EMR/Health IT, disease registries, and insurance claims databases.
- Experience in Statistical Analysis Plan (SAP) generation and execution for observational studies.
- Expertise in methods development and application using statistical languages such as R/Matlab/SAS/SQL/Hadoop/Python.
- Experience in advanced visualization and visual analytics of routinely collected healthcare data.
- Experience in supporting pharmacoepidemiology studies (desirable).
- Expertise in clinical data standards, medical terminologies, and controlled vocabularies used in healthcare data and ontologies.
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