Clinical/RWE Senior/Principal Data Scientist

2 weeks ago

London, Greater London, United Kingdom Lifelancer Ltd Full time

Accredited as an outstanding company to work for, Phastar is committed to employee engagement, workplace satisfaction and ensuring a healthy work-life balance. We offer flexible working, part-time hours, involvement in developing company-wide initiatives, structured training and development plans, and a truly supportive, fun and friendly environment. Whats more, when you join our team, Phastar will plant a tree in your honour, as one of our Environmental, Social and Governance (ESG) initiatives. So, not only would you get your dream job, youll also be helping to save the planet

THE ROLE Do you want to work within a clinical setting, contributing to real world data, applying novel analytics methods to life-changing medicines on an exciting FSP Project. Look no further...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. Responsibilities
  • 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
Qualifications
  • Educated to PhD/Masters or bachelors degree in Data Science or a related discipline
  • Experience within the pharmaceutical or healthcare industry
  • Familiarity with GCP and regulatory requirements
  • Experience of Real World Data (RWD)
Please use the below link for job application and quicker response. #J-18808-Ljbffr

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