I am currently working with a global bio-pharmaceutical company focused on creating value for people living with severe diseases in immunology and neurology.
They are looking to strengthen their Data & Translational Sciences Team, based in Berkshire, and are looking for a talented individual to fill the position of Principal Scientist, Patient Data Analytics.
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, you 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.
*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 the companies 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 to represent the company.
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)
This is an exciting and challenging role which will require strong technical abilities. Our client is offering a competitive package, with excellent benefits which include healthcare, bonus and career progression.
For more information on this role, and to discuss the benefits on offer, please call me on
t: +44 (0)121 616 3404 | m: +44 (0)7985 635091 or Email email@example.com
Keywords: Human genetics, biomarker discovery, statistics, biostatistics, bioinformatics, data science, transcriptomics, drug discovery, computer science, data engineering, pharmaceutical, genomics, immunology, patient data
You must be eligible to work in the UK. Learn more
- Agency: Paramount Recruitment
- Reference: SE/PSD
Website: Paramount Recruitment
- Posted: 17th March 2021
- Expires: 14th April 2021