Principal Data Scientist, Data and Statistical Science AI/ML (m/f/x)
at Daiichi Sankyo Europe
81379 München, Bayern, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 19 Sep, 2024 | Not Specified | 19 Jun, 2024 | N/A | Computational Biology,Version Control,Classification,Statistics,Big Data,Learning,Drug Development,Anomaly Detection,Optimization,Communication Skills,Computer Science,Pandas,Leadership,Clinical Research,Nlp,R,Project Management Skills,Entrepreneurship | No | No |
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Description:
- 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 will have a strong knowledge of AI/ML applications and best practices as well as strong technical skills in working with (clinical) data
- The position holder will require strong skills in continuous improvement, project management, change management and risk management
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
Responsibilities:
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Pharmaceuticals
Clinical Pharmacy
MSc
Computer Science, Biology, Statistics
Proficient
1
81379 München, Germany