Vice President - Investment Banking

Medpace; City of Westminster; On-site; GBP 60,000 - 80,000; Full time

Job summary

A clinical research organization is seeking an experienced informaticist in the UK to lead advanced analyses of clinical trial data. The role focuses on developing predictive algorithms and compelling data visualizations to inform study design decisions. Ideal candidates should have a Master's degree in a relevant field, advanced programming skills (preferably in R), and great attention to detail. This senior-level position also involves mentoring junior team members, making it an excellent opportunity for those looking to support team growth.

Qualifications

• Experience with advanced statistical methods to develop predictive algorithms.
• Ability to create compelling data visualizations.
• Strong analytical thinking and attention to detail.

Responsibilities

• Develop predictive algorithms of methodological and clinical data.
• Translate research results into data visualizations.
• Review data sources for quality analyses.
• Map database architecture of data systems.
• Contribute to proposal strategy for site and country selection.
• Support preparation for bid defense meetings.
• Assist in departmental process improvements.

Skills

Advanced statistical methods

Predictive algorithms

Data visualization

Attention to detail

Communication skills

Education

Master’s degree in informatics, computer science/engineering, health information, statistics, or related field

PhD (preferred)

Tools

R programming

Job description

Job Overview

We are currently seeking an experienced informaticist to join our Informatics team who will lead advanced analyses of methodological data to inform study design decisions. The Informatics team utilizes informatics principles and techniques to architect, mine, analyze, and visualize clinical trial data to inform study design choices for pharmaceutical development. The informaticist will create predictive data models to identify and analyze patterns, then program compelling visualizations of the data to support feasibility strategies. The team is seeking an experienced candidate for a senior-level position to contribute new skills to our team, support team growth, and foster fellow analyst development.

Responsibilities

• Utilize advanced statistical methods to develop predictive algorithms of methodological and clinical data;
• Translate the results of feasibility research and analysis into compelling data visualizations which illustrate the overall feasibility strategy;
• Perform comprehensive review of data sources to deliver high quality informatics data and analysis to teams;
• Develop and map database architecture of methodological and clinical data systems;
• Work alongside global feasibility leads to contribute to proposal strategy for site and country selection based on available data;
• Assist project teams with preparation for bid defense meetings; and
• Support departmental process improvement initiatives.

Qualifications

• Master’s degree in informatics, computer science/engineering, health information, statistics, or related field (PhD preferred);
• Advanced computer programming skills (preferred language: R);
• Analytical thinker with great attention to detail;
• Ability to prioritize multiple projects and tasks within tight timelines;
• Excellent written and verbal communication skills;
• Participate in training and development of more junior team members.