Principal Consultant, Advanced Analytics - Data Science (UK)
Parexel Uxbridge, England, United Kingdom
Join or sign in to find your next job
Join to apply for thePrincipal Consultant, Advanced Analytics - Data Science (UK)role atParexel
Principal Consultant, Advanced Analytics - Data Science (UK)
Parexel Uxbridge, England, United Kingdom
3 days ago Be among the first 25 applicants
Join to apply for thePrincipal Consultant, Advanced Analytics - Data Science (UK)role atParexel
Overall Summary About This Role:
The Principal Consultant, Advanced Analytics: Data Science contributes statistical capabilities and methodological leadership at all stages of projects, from planning to completion. The role involves working with junior team members in designing, developing, and delivering client solutions across multiple projects—leveraging expertise in statistical theory, data analysis and interpretation, regression analysis, machine learning, deep learning, and natural language processing techniques. Candidates should have a Masters or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or related quantitative fields. Proficiency in data analytics and statistical software/tools such as R, Stata, Python, and SAS is required.
Essential Knowledge, Experience, Skills, and Education:
- Strong foundation in statistical concepts and methods, including predictive modeling, survival analysis, longitudinal data analysis, meta-analysis, and hierarchical analysis techniques.
- Familiarity with machine learning techniques and Bayesian statistics is advantageous.
- Proficiency in statistical programming with SAS, R, or STATA.
- Excellent communication and problem-solving skills, with the ability to learn quickly and communicate effectively with both technical and non-technical audiences.
- Ability to work independently and as part of a team, with leadership capabilities in methodological aspects of projects.
Skills:
- Six or more years of experience in healthcare consulting or pharmaceutical industries.
- Knowledge of machine learning applications in HEOR, including risk prediction, causal estimation, economic modeling, and data transparency.
- Ability to work under pressure and meet deadlines.
- Strong scientific writing, presentation skills, and attention to detail.
- Fluent in written and spoken English.
- Proficiency in SAS (Base, Stat, Graph, Macro), R, SPSS, STATA, and Python.
Education:
- MSc or PhD in Data Science, Medical Statistics, Computational Biology, Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or similar fields. Proficiency in data analytics and software such as R, Stata, Python, and SAS is required.
Key Accountabilities:
Project Execution
- Lead project teams in designing, developing, and delivering client solutions across multiple projects.
- Contribute to the development of client deliverables and strategic recommendations.
- Provide advice and support to clients and manage existing business accounts, identifying new opportunities.
- Mentor and develop team members to achieve high standards.
- Ensure quality standards and methodological advancements are implemented.
- Foster thought leadership in Advanced Analytics and collaborate with senior management to identify new service opportunities.
Additional Responsibilities
Ensure efficient project execution, maintain client relationships, support business growth, and contribute to the continuous improvement of the business unit. Support innovation in health outcomes analysis, including supervised/unsupervised learning, deep learning, natural language processing, and other advanced techniques. Note that VISA sponsorship is not supported for this role.
Seniority Level
Employment Type
Job Function
Industries
- Pharmaceutical Manufacturing
J-18808-Ljbffr
