Senior Data Scientist

Hobson Prior are currently seeking a Senior Manager (Observational Research and Data Science Analytics) for an exciting position at a research-based biopharmaceutical company. Our client is very patient-focused, whose scientific research has benefitted hundreds of thousands of people by ensuring medications are available to those who could otherwise not afford them.

Job Responsibilities:

Accountable to produce high quality, replicable analysis of internal data assets.

Assisting in building internal real-world data & analytics capabilities by working closely with cross-functional teams.

Assisting in developing a data science platform and data analytics infrastructure.

Serving as subject matter expert in the analysis of real-world data and other analytics data sources and implementation of advanced analytics techniques (e.g. machine learning).

Working closely with the cross-functional team members in developing analysis plans for internal data generation requests using internal trial data sources and/or real-world data.

Following best practices regarding data science programming: Producing readable and reproducible code.

Assessing real world data assets including data licenses and data platforms as well as appraising new analytic tools.

Leading standardisation of data structure and analytics of in-house data and maintaining up-to-date knowledge of best practices and standards through engagement with groups leading such initiatives in the research community (e.g. Observational Medical Outcomes Partnership, etc.).

Managing conversion of real-world raw data to common data structure and maintenance of coding library/analytics templates to support observational research/real-world studies across products.

Key Skills:

Excellent written and oral communication skills.

Must possess an entrepreneurial mindset and work with agile principles.

Advanced programming capacity in any two of the following software packages: Python/SAS/R/SQL.

Ability to follow best practices in programming and be comfortable with version control (Github).

Able to effectively communicate model assumptions, statistical methods, and key findings to technical and non-technical stakeholders.

Able to adopt a culture of "Team-focus" and "rapid-response".

Ability to work independently and with minimal supervision.

Requirements:

Doctoral or Master's degree (PhD, PharmD, MD, MS) in health services research, epidemiology, biostatistics, public health, computer science, or a discipline with a strong focus in the application of data science to healthcare data.

A minimum of 3 years' experience in pharma/biotech, consulting, or academic settings in Outcomes Research/Epidemiological Research/Health care industry/ Data science.

Vast experience using real-world data (both US and ex-US) commonly used in epidemiology/HEOR studies (e.g. administrative claims, disease/exposure registries, EMRs).

Aptitude in statistical, computational and machine learning methodologies for prospective and retrospective studies (multivariate modelling, IVA, Propensity score-based methodologies).

Knowledge of visualization software (Tableau, R Shiny, Python, Spotfire).

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.