Principal Data Scientist, Data and Statistical

vor 7 Monaten

Munich, Deutschland Daiichi Sankyo Europe Vollzeit

The position holder will manage, with limited direction, end-to-end delivery of AI/ML projects (from business understanding, over hands-on development to dissemination), to ensure high quality deliverables are on time and within budget
- The position holder will partner with internal and external stakeholders as well as vendors to op-timize AI/ML technology, processes and standards
- The position holder will require strong skills in continuous improvement, project management, change management and risk management

**Roles & Responsibilities**:
**Project level AI/ML activities**:

- Responsible, with limited supervision, for both managing and implementing AI/ML projects from business understanding and translation of business needs to AI/ML tasks, over data understand-ing and preparation, to modeling, validation and dissemination
- Identify innovative ways to improve the efficiency, quality and productivity of AI/ML activities and actively contribute to implementation
- Contribute to raising and maintaining awareness of best practices for reproducible data science, global regulatory requirements, internal guidelines and Standard Operating Procedures (SOPs)
- Ensure timely and accurate completion of AI/ML deliverables
- Contribute, with limited supervision, to documents submitted to regulatory or pricing authorities
- Proactively identifies and manages risks in assigned projects

**Vendor Oversight**:

- Under limited supervision, responsible for providing direction and execute oversight of vendor delivery, to ensure compliance with the protocol, external/internal standards, applicable regula-tory guidelines, policies, SOPs, and other relevant guidelines
- Engages, under supervision, in vendor selection and contracting, including review and negotiation of baseline budget and timelines
- Oversees budget management activities across the project duration
- May participate in meeting or teleconferences with health authorities

**Operational Excellence Innovation**:

- May lead and/ or participate in global evidence generation initiatives to improve the harmoniza-tion and efficiency of process and/or develop and implement innovative solutions
- Maintains current knowledge of industry best practice in AI/ML methodology
- May act as Subject Matter Expert for AI/ML by providing guidance and support to Data and Statis-tical Science team members as well as represent the department in cross-functional teams
- Demonstrates leadership within AI/ML by partnering with internal and external stakeholders to optimize technology, processes, and standards (improving quality/inspection readiness, decreas-ing cycle times, and reducing costs)

Any other duties deemed pertinent to the needs of the business.

**Personal skills and professional experience**:

- MSc (PhD preferable) in computer science, statistics, computational biology or related fields
- At least 5 years of experience in data science / business intelligence / statistics role supporting drug development and/or post marketing in a clinical research, pharmaceutical, CRO or medical device setting
- Extensive programming experience in Python technology stack (pandas, numpy, scikit-learn, scikit-survival, matplotlib, seaborn, shap etc.), knowledge of R and other languages is a plus. Ex-perience in working with virtual environments and version control (e.g. git)
- Excellent knowledge of machine learning algorithms for clustering, classification, regression, anomaly detection, and optimization, preferably with both small and big data
- Exposure to cloud computing platforms
- Knowledge in NLP, image analysis / deep learning and/or federated learning will be considered a plus
- Experience in oncology therapeutic area and/or in late phase projects is desirable
- Excellent English language skills
- Excellent storytelling and communication skills, both oral and written, especially in explaining complex concepts in simple terms
- Good negotiation and project management skills
- Demonstrates entrepreneurship and leadership and proactive problem solving
- Extended knowledge and understanding of the principles, concepts, methods, and standards of clinical research
- Ability and interest to work remotely with worldwide team members across cultures and time zones
- Understanding of GCP and GDPR principles is desirable

**Why work with us?**:

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