PE Global are currently recruiting for a Senior Epidemiological Programmer for a contract role with a leading multinational biopharmaceutical client.
Our client’s Centre for Observational Research team is looking for an epidemiological programmer to produce analysis datasets and perform statistical analyses and reports for observational research studies from data stored on Databricks and SAS.
The preferred candidate will have excellent SAS and SQL programming skills, however applications from candidates with limited SAS knowledge but with knowledge of R or Python will also be welcomed. Knowledge of SQL is needed. Use of Gitlab/Github would be useful as would as understanding of statistical and epidemiological methods such as epidemiological study designs, propensity score methods and survival analysis. Candidates with limited statistical and epidemiology knowledge who are eager to learn will be considered.
Candidates will need to have at least 5 years’ experience in statistical or observational research programming. An MSc in Computer Science, Epidemiology, Biostatistics, or other subject with high programming or statistical content is preferred.
Familiarity with drug development life cycle and experience with the manipulation, analysis and reporting of biomedical or observational research data is looked for. Applications from candidates with knowledge of Electronic Health Records databases such as the Clinical Practice Research Datalink (CPRD) or insurance databases such as Marketscan are particularly welcomed. An understanding of the OMOP common data model would be advantageous.
Candidates must be comfortable with creating complex analysis datasets derived from complex databases and have a careful eye for outliers and errors. This will include checking the accuracy of programs written by colleagues.
The role will involve interpreting plans of analysis developed by our epidemiologists. Candidates with experience of working with observational data and with epidemiological knowledge will be favoured. The main skills we are looking for however are the ability to interpret and clarify the details of a plan of analysis, provide constructive feedback and contribute to the implementation of a methodologically solid analysis, and to implement the programming necessary to deliver the results requested. Communication is key in this role.
The role will also involve contributing to collaborative efforts aimed at improving efficiency and quality of the work performed by the programming team. Candidates with the ability to think outside of the box and to come up with innovative ideas and solutions to achieve the above will be strongly preferred.
At times the successful candidate will need to deliver results within short timelines and will need to balance more than one study at a time. The ability to work effectively and successfully in a team environment, strong documentation, communication and time management skills are essential.
The successful candidate will be offered to the opportunity to be part of a dynamic and exciting team that values trust, mutual respect, and collaboration among the team, and that is constantly striving to improve. Furthermore, the successful candidate will be offered the opportunity to learn new technologies and expand their knowledge in observational research and Real World Data Science.
***Please note our client cannot assist with any visa sponsorship and candidates must have the correct visa to live and work in UK***