Lewis Carpenter Email & Phone Number
@kcl.ac.uk
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Who is Lewis Carpenter? Overview
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Lewis Carpenter is listed as Chief Scientific Officer at Arcturis, a with 34 employees, based in Beaconsfield, England, United Kingdom. AeroLeads shows a work email signal at kcl.ac.uk and a matched LinkedIn profile for Lewis Carpenter.
Lewis Carpenter previously worked as Director Real World Evidence at Arcturis Data and Head of Real-World Evidence at Arcturis Data. Lewis Carpenter holds Doctor Of Philosophy (Ph.D.), Psychology from University Of Hertfordshire.
Email format at Arcturis
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AeroLeads found 1 current-domain work email signal for Lewis Carpenter. Compare company email patterns before reaching out.
About Lewis Carpenter
Lewis Carpenter is a Chief Scientific Officer at Arcturis. He possess expertise in clinical research, statistics, research design, epidemiology, research and 9 more skills.
Listed skills include Clinical Research, Statistics, Research Design, Epidemiology, and 10 others.
Lewis Carpenter's current company
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Lewis Carpenter work experience
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Director Real World Evidence
As Director of Real World Evidence I am part of the executive team at Arcturis to help drive the strategy and goals of the company. I oversee the real world evidence team of epidemiologists and medical statisticians to deliver real world evidence studies to pharmaceutical and biotech companies, leveraging the companies unique access to real-world data sources. I have overall responsibility for the scientific rigour and quality of the research outputs we provide, driving insights to the benefit of patients.
Head Of Real-World Evidence
I oversee a team of medical statisticians and epidemiologists to deliver real-world evidence projects to life science companies through Arcturis access to de-identified electronic health records as part of our strategic research agreements with NHS trusts.Of particular interest is the use of RWE in regulatory submissions to accelerate the approval of new, effective therapies in the NHS.I have a strong understanding of real-world data, research methods, medical statistics and epidemiology and have overseen various types of studies in multiple therapeutic areas, including oncology, cardiovascular, haematology and chronic auto-immune disease.I am responsible for developing and growing the RWE team, early project scoping with clients, development of project proposals, bid defence reviews and the end-to-end delivery of commercial RWE projects.
Head Of Real-World Evidence
I oversee a team of medical statisticians and epidemiologists to deliver real-world evidence projects to life science companies through Sensyne Health's access to de-identified electronic health records as part of our strategic research agreements with NHS trusts.I have a strong understanding of real-world data, research methods, medical statistics and epidemiology and have overseen various types of studies in multiple therapeutic areas, including oncology, cardiovascular, haematology and chronic auto-immune disease.I am responsible for developing and growing the RWE team, early project scoping with clients, development of project proposals, bid defence reviews and the end-to-end delivery of commercial RWE projects.
Principal Medical Statistician
Principal Medical Statistician in the Real World Data team leading a team of medical statisticians. I oversee all aspects of medical statistics in the company and provide end-to-end delivery of collaborative RWD projects in the life science industry, primarily using the companies access to large, electronic health record data from the NHS.
Lead Medical Statistician
Lead Medical Statistician as part of the Discovery Science team. I am project lead for a number of healthcare projects using real world, electronic health records from the NHS. My duties include project management, providing expert advice regarding the analysis plan and feeding back project outcomes to clients. Using both R and Stata statistical software, I am also involved in the data cleaning, management and analysis of the data.
Medical Statistician
Medical Statistician as part of the Discovery Science team. I am project lead for a number of healthcare projects using real world, electronic health records from the NHS. My duties include project management, providing expert advice regarding the analysis plan and feeding back project outcomes to clients. Using R statistical software, I am also involved in the data cleaning, management and analysis of the data.
Postdoctoral Researcher
Postdoctoral researcher working on a joint fellowship from Mental Health and Quality of life (MQ) & Arthritis Research UK (ARUK) charities to investigate the prevalence and impact of persistent physical and psychological symptoms in adults living with rheumatoid arthritis.
Postdoctoral Researcher
Postdoctoral researcher working on a joint fellowship from Mental Health and Quality of life (MQ) & Arthritis Research UK (ARUK) charities to investigate the prevalence and impact of persistent physical and psychological symptoms in adults living with rheumatoid arthritis.
Consultant Medical Statistician
Consultant medical statistician as part of the database analytics team in the London office. Providing expert advice in longitudinal analysis techniques for observational cohort studies.
Medical Statistician
Medical Statistician as part of the Real World Evidence team. During my time at OXON, I worked with large real world datasets, including electronic health records and multi-country prospective cohorts. My duties included data cleaning, data analysis and preparing reports for clients.
Phd Student
I conducted my PhD as part of the Life and Medical Science School at the University of Hertfordshire.Using data from the Early Rheumatoid Arthritis Study (ERAS) and Early Rheumatoid Arthritis Network (ERAN), two of the largest early rheumatoid arthritis cohorts studies in the UK, I investigated the progression of structural joint damage in patients with rheumatoid arthritis. Structural joint damage is a primary and important outcome measure in rheumatoid arthritis, and is largely used in clinical trials to measure the efficacy of new treatment regimes. Modelling the natural course of joint damage in observational cohort data poses many challenges, which I explored as part of my PhD. Mainly using Stata statistical software, I looked at complex modelling techniques to analyse this data and published my findings in peer-reviewed medical journals, in order to disseminate my results to the wider evidence base.
Research Advisor
Provided advice to local NHS health professionals on designing clinical research and applying for external research grant awards, namely those provided by the NIHR programmes. I was a specialist expert in the design of clinical trials and quantitative statistics.
Lewis Carpenter education
Doctor Of Philosophy (Ph.D.), Psychology
Bachelor Of Science (Bs), Psychology
Frequently asked questions about Lewis Carpenter
Quick answers generated from the profile data available on this page.
What company does Lewis Carpenter work for?
Lewis Carpenter works for Arcturis.
What is Lewis Carpenter's role at Arcturis?
Lewis Carpenter is listed as Chief Scientific Officer at Arcturis.
What is Lewis Carpenter's email address?
AeroLeads has found 1 work email signal at @kcl.ac.uk for Lewis Carpenter at Arcturis.
Where is Lewis Carpenter based?
Lewis Carpenter is based in Beaconsfield, England, United Kingdom while working with Arcturis.
What companies has Lewis Carpenter worked for?
Lewis Carpenter has worked for Arcturis, Arcturis Data, Sensyne Health, King'S College London, and Oxon Epidemiology.
How can I contact Lewis Carpenter?
You can use AeroLeads to view verified contact signals for Lewis Carpenter at Arcturis, including work email, phone, and LinkedIn data when available.
What schools did Lewis Carpenter attend?
Lewis Carpenter holds Doctor Of Philosophy (Ph.D.), Psychology from University Of Hertfordshire.
What skills is Lewis Carpenter known for?
Lewis Carpenter is listed with skills including Clinical Research, Statistics, Research Design, Epidemiology, Research, Statistical Data Analysis, Stata, and Quantitative Research.
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