. • Excellent understanding of project financials and effective vendor management. • Effective communication skills, fluent languages skills in German (at least C1 level) and good command of English. • High ability to work on abstract complex topics and to strategic thinking, as well as solution orientation. • High organizational and planning skills, time management and prioritization skills while working on multiple projects. • Excellent leadership and collaboration skills, and the ability to establish and maintain effective working relationships with coworkers, managers and clients.
Our Ideal Candidate Will Have: Master’s degree in Computer Science, Mathematics/Statistics, Economics/Econometrics or related field.Substantial years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms.Very good knowledge and in depth understanding of Machine Learning methods, both classical and deep learning models.Relevant experience with Natural Language Processing (NLP) models for extracting structured concepts from unstructured free text, including the design, training, and evaluation of information‑extraction pipelines.Very strong technical capability in Python, SQL, Hadoop ecosystem.Experience applying AI/Machine Learning methods to business questions.Very good knowledge of the higher statistical and econometric methods in theory and practice.Experience with handling Big Data.Ability to write clean, reusable, production-level codeExcellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations.Strong analytic mindset and logical thinking capability, strong QC mindset.Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must.Self-responsible for managing projects.Fluency in German & English. The Team Data Science & Advanced Analytics – with departments in Frankfurt, Philadelphia, Milan, Madrid, Athens, Warsaw and Beijing as well as a network of more than 300 experts worldwide - is the global competence center for statistics and data science at IQVIA.
You should have: University degree from life science-based subjects preferable plus an advanced theoretical trainings program in clinical research.Excellent communication skills in German language (at least C1 level) including good command of English language.Strong written and verbal communication skills.Computer skills including a high proficiency in use of Microsoft Office applications, especially Excel, internet, and communication tools.Excellent organizational and problem-solving skills.Effective time management skills and the ability to manage priorities.Ability to establish and maintain effective working relationships with coworkers, managers and clients.Flexibility to frequent business travel and driving license category B.Candidates need to be located in Germany If you want to make a difference in global healthcare, IQVIA™ is the place for you!
You should have: University degree from life science-based subjects preferable plus an advanced theoretical trainings program in clinical research.Excellent communication skills in German language (at least C1 level) including good command of English language.Strong written and verbal communication skills.Computer skills including a high proficiency in use of Microsoft Office applications, especially Excel, internet, and communication tools.Excellent organizational and problem-solving skills.Effective time management skills and the ability to manage priorities.Ability to establish and maintain effective working relationships with coworkers, managers and clients.Flexibility to frequent business travel and driving license category B.Candidates need to be located in the Stuttgart area If you want to make a difference in global healthcare, IQVIA™ is the place for you!
Excellent knowledge of applicable clinical research regulatory requirements, i.e., Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines. Fluent languages skills in German on at least C1 level and good command of English. Computer skills including working knowledge of Microsoft Word, Excel and PowerPoint.
What you should bring: Bachelor’s or higher-level University Degree preferably in life science, or High School Diploma and apprenticeship within the life science, medical or pharmaceutical field or within office management.At least 2-4 years’ experience as Clinical Trial Coordinator or within another administrative role in clinical research, e.g. as Clinical Trials Assistant, Study Start-Up Assistant.Knowledge of applicable clinical research regulatory requirements, i.e., Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines.Fluent languages skills in German on at least C1 level and good command of English.Computer skills including working knowledge of Microsoft Word, Excel and PowerPoint.Effective communication, organizational and planning skills.Ability to work independently and to effectively prioritize tasks while working on multiple projects.Ability to establish and maintain effective working relationships with coworkers, managers and clients.Home-office within the following region: Ulm, Neu-Ulm, Memmingen, Ehingen an der Donau, Ravensburg, Leutkirch im Allgäu, etc. and the ability to visit our client’s office on a regular basis.Preferably to start on 1. or 16.
Therapeutic area expertise in the field of Oncology is a must.Strong working knowledge of applicable clinical research regulatory requirements, i.e., Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines.Fluent languages skills in German on at least C1 level and good command of English.Strong IT skills in appropriate software and company systems.Excellent decision-making and string financial management skills.Flexibility and ability to manage study teams in a virtual environment.Willingness to travel occasionally for business meetings.