Contract Senior Statistician - Real World Evidence - Central London

Do you understand Real World Statistics? Enjoy working with clinical research and the life science sector? Our client is looking for an experienced Senior Statistician who can join their exciting organisation in Central London.

Their clinical research focuses on Cardiovascular studies in late phase and Real World data. If you are interested in working on statistics for publications and thought leading events, this is a great role for you.

This role is available on contract with future options to move perm.

If you are ready for a new amazing career opportunity, and solid career background we would love to speak with you.

Here's a snapshot of what you will be doing:

• Collaborate with clinical investigators to translate clinical goals into questions that can be answered using available data and statistical techniques. With minimal or no guidance, prepares statistical analysis plans for abstracts or manuscripts targeted to a clinical audience while incorporating input from statistician mentors and from clinical collaborators.
• Document analyses, creates summaries, and presents results in written and verbal form to requestors. Writes statistical text for study reports and clinical publications. Able to work on any phase of a manuscript project, from initial meeting with an investigator to final review of a manuscript prior to submission for publication (checking presentation of results for accuracy and appropriate interpretation) and responding to reviewer comments.
• Lead or participates actively in the statistical team responsible for designing and validating analysis data sets, programs, and statistical output products. Collaborates effectively with statistical programmers, informaticists and data managers who support their projects. Identifies potential data problems from analytic queries and takes appropriate initiative to guide the process of resolution. Demonstrates
• Proficient in SAS and/or R; finds errors, corrects, and validates output and results. Performs complex programming efficiently, uses complicated SAS and/or R procedures and options. Programs analysis datasets using SAS and/or R and/or reviews those programmed by others to ensure quality products; combines multiple disparate raw databases and derives analysis variables accurately.
• Uses complicated SAS and/or R procedures and options and programs with increasing efficiency. Considers alternative programming approaches to improve quality and/or efficiency. Possesses broad programming abilities and shares them with others by consultation and example and maintains programming skills even when delegating many programming tasks to others.
• Collaborates with project leader, principal investigator, other clinical investigators, and external government or industry representatives to affect significant decisions regarding the project, and to jointly achieve objectives and timelines. Represents the functional group in project team meetings and contributes constructively to project discussions.
• Performs other related duties incidental to the work described herein.

You should recognise yourself here:

• Track record experience in Real World Evidence, large observational healthcare datasets
• Experience within an epidemiological, health economics or outcomes research group
• Comfortable with working with large data sets
• Role requires a minimum of a Doctoral degree in (bio) statistics or related field and relevant experience,
• Expert in SAS programming
• Statistical methods: survival analysis, time-dependent Cox model, multiple imputation, logistic regression, Poisson regression, models for count data and smoothing techniques
• Experience as a lead statistician on clinical trials and/or clinical research projects that have consistently provided high quality end products on time, and prior supervision and/or guidance of lower level or less experienced employees is required

All candidates will need to have current and valid eligibility to work in the UK in order to be considered for this role. This role is 100% office based so please keep that in mind before applying.

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