Senior Clinical Information Scientist

SRG; Cambridge; On-site; GBP 125,000 - 150,000; Full time

Job description

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:

1. 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.
2. Use techniques such as text mining and data visualization to extract key relevant information enabling timely and objective clinical study design decisions.
3. Maintain a repository of key data, bringing together key historical decisions for the wider team to use and refer to.
4. Plan and work independently and take responsibility for specific deliveries within a drug project, ensuring a high level of quality is built into deliverables.

Your skills and experience:

1. 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.
2. Experience in real-world evidence and familiarity with health economics/epidemiology, and quantitative science such as health outcome modeling.
3. Expertise in EMR/Health IT, disease registries, and insurance claims databases.
4. Experience in Statistical Analysis Plan (SAP) generation and execution for observational studies.
5. Expertise in methods development and application using statistical languages such as R/Matlab/SAS/SQL/Hadoop/Python.
6. Experience in advanced visualization and visual analytics of routinely collected healthcare data.
7. Experience in supporting pharmacoepidemiology studies (desirable).
8. Expertise in clinical data standards, medical terminologies, and controlled vocabularies used in healthcare data and ontologies.

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