Biostatistician

An exciting new opportunity has arisen in London for a Biostatistician to join a global leader in bringing new solutions to patients for the detection, prevention, and treatment of blood clots. This position will ensure studies are planned and implemented to the highest standards and that they meet all applicable regulatory guidelines.

Please note that to be considered for this role you must have the right to work in this location.

Key Responsibilities:

• You will be responsible for handling and securing highly confidential and sensitive analyses and documentation. You will be learning IT tools and analytical methods appropriate for projects. Collaborating closely with clinical investigators, other statisticians and statistical programmers to share and document this knowledge.
• Participating in most statistical aspects of a project, with consultation or assistance when needed. Attending project team meetings and contributes constructively to project discussions. Managing project responsibilities with decreasing levels of supervision or regular support and takes initiative to complete project-specific responsibilities with minimal supervision. Demonstrating progress in ability to multi-task.
• Collaborates with clinical investigators to translate clinical goals into questions that can be answered using available data and statistical techniques. Takes the lead on preparation of statistical analysis plans for abstracts or manuscripts targeted to a clinical audience while incorporating input from more senior statistician on the team and from clinical collaborators.
• Performs statistical analyses laid out in the analysis plan, seeking input and review from more senior statistician on the team. Independently generates descriptive and basic test statistics and graphics, analysis of basic data requests and generates statistical modeling results. Learns new statistical methods as needed and applies new skills to future projects.
• Documents analyses, creates summaries, and presents results in written and verbal form to requestors. With guidance, 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). Contributes meaningfully to discussions of analyses with clinical investigators and other statisticians and identifies next steps for analyses.
• Leads 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 who support their projects. Identifies potential data problems from analytic queries and brings them to the attention of the team. Demonstrates understanding of project data collection processes and data sets and shares knowledge with collaborators.
• Proficient in SAS and/or R. Performs complex programming such as data transposition and macros. Programs analysis datasets using SAS and/or R; combines multiple disparate raw databases and derives analysis variables accurately. Uses complicated SAS and/or R procedures and options and programs with increasing efficiency.
• Adheres to standard operating procedures (SOPs) of the functional department as they apply to documentation and validation of clinical research statistics.
• Collaborates effectively with a variety of types of individuals: programmers, statisticians (both junior and senior), medical personnel, and representatives within the business community. Develops leadership and communication skills and shares them with others.
• Learns about clinical aspects of the research, as appropriate.
• Performs other related duties incidental to the work described herein.

Requirements:

• The ideal candidate will have a minimum of a Master's degree in (bio)statistics or related field and no relevant experience, or a bachelor's degree in (bio) statistics or related field.
• At least 3 years relevant experience, or an equivalent combination of relevant education and/or work experience.
• Experience within an epidemiological, health economics or outcomes research group.
• Track record experience in Real World Evidence, large observational healthcare datasets.
• Comfortable with working with large data sets.
• Expert in SAS programming.
• Statistical methods: survival analysis, time-dependent Cox model, multiple imputation, logistic regression, and models for count data.

Apply now:

If you are interested in learning more or applying to this exciting opportunity then please click "Apply" and upload a copy of your CV. Alternatively, for further details or to talk directly to a life sciences recruitment specialist directly, please select "Contact me" at the top of this page.

Hobson Prior is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Hobson Prior is acting as an Employment Agency in relation to this vacancy.