Data Science Intern leveraging skills in statistics and programming for data - driven projects at Revolve. Collaborating with marketing and operations for insightful analytics and strategy recommendations.
OR
Hybrid Head of Research Data Services – Global Data Sciences, Oncology Therapy Area
Posted 2 months ago
About the role
- Head of Research Data Services at Orion Pharma overseeing digital transformation in oncology research. Leading a global team to enhance data management capabilities and drive innovation in drug development.
Responsibilities
- Define and drive the long-term strategy for discovery data capabilities, aligning with Orion Pharma R&D’s global objectives.
- Lead the development and implementation of advanced data management and analytics frameworks that support breakthrough research and accelerate innovation.
- Collaborate with senior research scientists, biostatisticians, data managers, data producers (such as laboratory teams and Data generation specialists (RWD/RWE)), and data users (including project leads, chemistry leads, computational experts, clinicians and regulatory stakeholders) to understand complex data needs and deliver impactful solutions.
- Act as a catalyst for cross-departmental synergy, ensuring seamless integration of data science across R&D functions.
- Spearhead the adoption of AI/ML, automation, and modern data flows within the DMTA (Design – Make – Test – Analyze) cycle, positioning Orion Pharma at the forefront of pharmaceutical research.
- Champion a data-driven culture and lead change management initiatives to embed new technologies and methodologies.
- Set ambitious goals for the Research Data Services function, monitor progress, and ensure delivery of high-impact outcomes.
- Oversee the development and continuous improvement of data pipelines, cloud-based solutions, and compliance with global standards (GDPR/GxP, CDISC, OMOP).
- Inspire, mentor, and develop a high-performing team of data professionals.
Requirements
- Minimum of 5 to 10 years of experience in pharmaceutical or biotech industry leading data engineering teams and delivering strategic impact in research analytics and real-world data environments.
- Advanced degree in Computer Science, Data Engineering, Bioinformatics, Life Sciences, or related field.
- Expertise in cloud-based data solutions, ETL pipeline development, and modern analytics tools (Azure, SAS, R, Python, SQL).
- Strong knowledge of global data standards and regulatory frameworks.
- Hands‑on experience with research‑phase data tools and platforms, including:
- - Electronic Lab Notebooks
- - Laboratory Information Management Systems
- - Bioinformatics workflows
- - Omics analysis platforms
- - High‑performance computing (HPC) environments
- - Version‑controlled research workflows (Git/GitHub/GitLab)
- - Data visualization and exploration tools (Spotfire, LiveDesign, etc.)
- - Model‑building and experimentation platforms
- - Preclinical study data systems
- Exceptional communication, collaboration, and stakeholder management skills.
Benefits
- The opportunity to shape the future of pharmaceutical research in a global, agile, and entrepreneurial environment.
- Generous health, welfare, and development benefits.
- A leadership role with significant influence on Orion’s sustainability agenda, patient safety, and ethical standards.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior AI & Data Scientist leading advanced analytical model development for tech company. Ensuring robust data architecture and deploying AI solutions from analysis to production.
Senior Data Scientist responsible for enhancing mapping and routing solutions at Vay. Utilizing data science and machine learning to improve navigation in urban mobility systems.
Data Scientist transforming complex data into valuable insights for adp MERKUR GmbH. Develops machine - learning models and collaborates with stakeholders for data - driven decisions.
Senior Real World Data Scientist providing statistical and epidemiological expertise in nutrition and health research. Analyzing large scale observational data and guiding project teams in statistical methodologies.
Senior Data Scientist at LexisNexis Risk Solutions applying machine learning and AI for government services. Collaborating with a diverse team to solve meaningful problems.
Clinical Data Manager supporting the biospecimen and clinical data management for WVU Cancer Institute. Engaging in data collection, management, and reporting for research and quality assurance.
Data Manager coordinating AI development processes to govern and manage data for medical devices at GE HealthCare. Collaborating with AI/ML engineers and tracking compliance and readiness throughout the lifecycle.
SMAI Manager leading a talented team to develop advanced factory scheduling and automation solutions at Micron. Collaborating globally to enhance manufacturing capabilities and deliver best practices.
Staff Data Scientist at GoodLeap driving data strategies for sustainable finance and software solutions. Collaborating with analytics teams to prioritize impactful analysis projects.