Manager/Senior Manager - Pharma
Industry : Pharma / Biotech / Clinical Research
Category : Consulting
Job Type : Permanent
Job Description : Chance to be part of a great global pharma company which would help you making the use of data science and machine learining for the good of humanity.
Client Details :
- They are a global health care leader that unites caring with discovery to make life better for people around the world. For more than a century, they have stayed true to a core set of values-excellence, integrity, and respect for people-that guide us in all we do: discovering medicines that meet real needs, improving the understanding and management of disease, and giving back to communities.
- They also are committed to investing in our employees and supporting a culture of well-being -through competitive pay, comprehensive employee benefit programs, and training and development resources.
Description :
- Perform cutting edge research in natural language processing (NLP) technologies. .
- Collaborate with analytics team members to design, implement and develop enterprise-level NLP capabilities, including data engineering, technology platforms, and algorithms.
- Evaluate and benchmark the performance of different NLP systems, and provide guidance on metrics and best practices.
- Apply NLP technologies to answer business questions, solve business challenges, and make real-world impact.
- Stay current with new technology trends in NLP.
Profile :
- Ph.D. in Computer Science, Statistics, Computer Engineering, Electrical Engineering, Information Science, Information Engineering or related field
- 5+ years of experience in NLP
- Deep understanding of NLP techniques and systems
Job Offer :
- Chance to be part of a great global pharma company which would help you making the use of data science and machine learining for the good of humanity.
- To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Anish Raniwala on +91 124 452 5486
Contact - Anish Raniwala - +91 124 452 5486
The Apply Button will redirect you to website. Please apply there as well.
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