Principal Data Scientist, Data and Statistical Science AI/ML (m/f/x)

at  Daiichi Sankyo Europe

81379 München, Bayern, Germany -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate19 Sep, 2024Not Specified19 Jun, 2024N/AComputational 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,EntrepreneurshipNoNo
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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