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BACKGROUND

This is a senior level role working within the Data and Translational Sciences team of a global pharma. The organisation are pushing ahead a digital transformation agenda across the entire company and this is a great opportunity to participate in and drive the innovations that will continue transform the ways in which we gain insights from an ever-growing digital landscape in the use and development of medicines.

The goal of the Patient Data Analytics team is focused on developing and using advanced analytical approaches in the context of diverse multimodal patient data – to generate insights to inform disease or patient understanding to support new drug target identification, repurposing or indication expansion; population stratification and to support design or interpretation of clinical trials.

With experience in the application of the appropriate machine learning approaches, and an appreciation of how to acquire and process the appropriate data sources, a successful candidate will support the team in generating impact for the R&D organization in the scope of disease and patient understanding in areas such as: target and drug discovery, indication expansion, disease and patient stratification, prediction of disease course, drug response, safety and in support of clinical trial design/interpretation.

RESPONSIBILITIES

Championing the value of data driven insights with key stakeholders
Delivering advanced analytics AI/ML projects personally or through collaborations internally or externally
Identification of key solutions, tools and methodologies to support the drug development portfolio
Identify and understand relevant data sources that can be used for patient phenotyping studies.
Deliver projects in compliance with data governance policies around patient data use.
Communication of scientific results inside and outside the team with all relevant stakeholders
Active collaboration with relevant stakeholders across the community (internally and externally) to support the delivery of solutions
Understanding the landscape of relevant AI/ML tools and the cutting edge of evidence generation
Attend conferences and other related events.

REQUIREMENTS

M.Sc. or PhD (preferred, or equivalent) in Mathematics, Computational Biology, Health Data Science or Statistics with experience in the application of analytical approaches to support drug development or clinical development
Experienced in computational analyses of patient-derived data and transformation of analyses into insights, particularly in the context of supporting clinical decision making
Understanding, knowledge and practical experience with a suitable range of statistical, data science and specifically ML/AI based methods, including deep learning
Experience with data cleaning/munging and analysis in the context of health data
Experience interpreting and critically appraising real world evidence (RWE) studies
Experience in the successful delivery of results in coordination with other data scientists and domain experts
Programming skills in appropriate data processing platforms (R and Python are desirable)
Practical experience with relevant deep learning frameworks, e.g., Tensorflow, PyTorch
Experienced in using bioinformatic tools and databases for analyzing DNA, RNA or other omics data
Experience in communicating study results in a compelling manner to stakeholders
Experience delivering projects on time and within budget (if applicable)

COMPENSATION

There are some great benefits on offer with this role including a competitive salary, pension, and the opportunity to work with some of the best talent in the industry.

HOW TO APPLY

Please contact Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

Keywords: Principal, Scientist, Data, Science, AI, ML, Clinical, Patient, Healthcare, Statistical, Project, Leadership, Insights, Analysis, Bioinformatics, Genomics, Biology, Pharma, RWE, Tensorflow, UK

Discussion forums: Opportunity: Principal Scientist -- Patient Data Analytics @ A global pharma -- Hertfordshire, UK

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