Overview
Work as a Senior/Principal data scientist, responsible for supporting clinical trials and healthcare teams by applying high quality data science approaches whilst adhering to deliverable timelines. Acting as lead data applying high quality data science approaches whilst adhering to deliverable timelines. Acting as lead data scientist within a team environment and being responsible for the data science aspects of a project and effective collaboration with other functions and clients as required. Acting as a data science consultant to pharmaceutical or biotech companies. Excellent knowledge of different data science technical approaches, visualisation development and production and utilisation of relevant clinical and healthcare data sources such as clinical data standards and observational data. Excellent team-work ethos, proactive at managing multiple projects and individuals and a willingness to help others and to share and learn new skills from working in a team environment. Contribute to increasing the company profile, business generation and sales meetings. Potential to have line management responsibilities.
Responsibilities
Employees may be required to perform some or all of the following:· Translate clinical questions into analytical problems through collaborations with research teams to design, conduct, interpret and report an analysis.· Effectively collect and document client requirements· Identify, access and utilise the appropriate data to support a question such as clinical data, observational data, healthcare data.· Provide guidance and expertise to other data science team members on data availability, access and use.· Expertise in the robust, secure extraction and integration of different data types and documentation of the approaches for the team· Lead the delivery of practical, high-quality solutions through the application of visualisation, analytical, machine learning and artificial intelligence techniques· Data science systems and process owner (for example R/RStudio), working closely with IT and quality assurance groups to ensure that they meet business and industry regulatory requirements.· Document, initiate and perform appropriate validation and/or QC for a project· Maintain a broad and deep understanding of quantitative research techniques, both current and emerging to better leverage appropriate data and share this with the data science team.· Work alongside our director of data science to manage data science projects from proposal and contract discussions with clients to project delivery· Lead, design and perform projects utilising machine learning and artificial intelligence algorithms including model development, training, deployment, testing, refining and iterating· Lead and train others in the application of machine learning and other data science analytical approaches· Identify opportunities for the application of data science within the industry and initiate research or client projects as appropriate.· Develop and deliver company-wide training as and when required· Identify areas where new or improved processes are required and document, liaise with relevant stakeholders and gain approval for implementation.· Responsibility for creating robust processes to ensure any tools developed can be maintained in production and delivered to multiple clients.· Define and document best practices for data science programming and analysis · Create, review and update processes and SOPs· Take responsibility for study compliance with SOPs and processes· Initiate and collaborate with other functions as required· Provide consultancy for data science projects· Be an active member of the Centre for Analytical Excellence; ensuring engagement internally and creation of marketing material externally.· Attending and inputting into company resourcing meetings. Monitoring project resource usage against budgeted staff allocation by task· Be an active member of a relevant external working group within the industry, providing visibility and networking opportunities for PHASTAR.· Proactively identify own areas for development/ improvement and sharing knowledge through attending and presenting and the PHASTAR forums· Highlight / give feedback to relevant line managers regarding any performance of team members
Qualifications
· Educated to PhD/Masters or bachelor’s degree in statistics, computational biology, bioinformatics, mathematics, computer science or a related discipline· Experience within the pharmaceutical or healthcare industry· Familiarity with GCP and regulatory requirements· Experience of writing analysis plans· Experience of rolling out data science solutions into production· Experience of successfully managing a project team
