(Senior) Data Science & Digitalization Consultant

Business Services - Frankfurt

About Arcondis

Arcondis is a global consulting company with an exclusive focus on the healthcare and life science industries, with their particularly demanding requirements on quality and regulatory aspects. We have been managing challenges and solving problems for our clients in the areas of compliance, business processes,

information technology, and digital transformation since 2001. We create value through cross-functional, sophisticated delivery methodologies and intelligent implementation. Our clients love to work with us because of our unique skillsets, our pragmatic approach, and our will to win.

Open Position

Mission

Tasks and responsibilities

Develop and implement data strategies, data governance frameworks, and master data management policies for life sciences organizations
Design and build secure data architectures and engineering solutions that support advanced analytics and data-driven insights
Collaborate with business stakeholders, data scientists, and software engineers to identify and prioritize key data projects
Lead the development of digital enablement solutions to help life sciences organizations leverage data for competitive advantage
Conduct data analysis, develop insights, and present findings to clients to inform business decisions
Active coordination, management, support, and delivery of data-focused client projects in Pharma, MedTech and/or Public Healthcare
Participation in developing innovative solutions to challenges across Life Science industries
Identification and evaluation of potential business opportunities and active support with business development in the US
Acquisition and management of projects in various Life Science disciplines
Mentor and develop team members, providing guidance and support on technical and strategic issues
Cultivation of strong professional relationships with members of the Pharma, MedTech and/or Public Healthcare communities

Studies

Your profile

Bachelor’s degree (Master’s preferred) in a related field such as Computer Science, Data Science, Statistics, Mathematics, Natural Sciences, or Engineering
5+ years of experience in data science, data engineering, or related fields
A minimum of 3 years’ experience in life sciences and/or healthcare
In-depth knowledge of life science value chain and business models
Strong expertise in data strategy, data governance, master data management, data engineering, and architecture in life sciences and/or healthcare
Proficiency in programming, data analysis, and visualization tools such as SQL, Python, R, and Tableau
Keen affinity for advancing digitalization in Life Sciences organizations
Willingness to act decisively and proactively in situations with limited information
Proven ability to work with, lead, and influence cross-functional teams and clients
Highly self-motivated, independent, and results-driven
Excellent written and oral communication skills in English, fluency in German is a plus
Flexibility and willingness to travel