PharmaACE - Lead Architect - NLP
4 weeks ago
PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational BioPharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Center of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immuno science, CNS, CV-Met, and Rare Diseases. We support our clients' needs in Primary Care, Specialty Care, and Hospital business units, and we have managed portfolios in the Biologics space, Branded Pharmaceuticals, Generics, APIs, Diagnostics, Packaging & Delivery Systems.
Job Description :
As a Lead / Architect NLP, you will be responsible to develop and implement NLP techniques across teams to help build Products and solutions to address our client business needs.
AI / NLP team designs and implements portfolio of NLP Products throughout the organization, help develop techniques to address business problems of our clients and engage with client to help them in better data driven decision making.
Roles & Responsibilities :
- Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
- Design and Develop NLP models and algorithms.
- Apply techniques like part-of-speech tagging, named entity recognition and text classification
- Expert in concepts of Data Acquisition, Data Cleansing and working with large data sets.
- Defining validation and preprocessing strategies to be done on a given dataset
- Training models and tuning their hyperparameters
- Analyzing the errors of the model and designing strategies to overcome them
- Deploying models to production
- Knowledge on Deep learning techniques
- Knowledge on latest NLP technologies and trends
- Collaborate with Data Scientists and Data Engineers to integrate NLP models with various projects
Qualifications :
- Bachelor's/master's degree.
- 5+ years of functionally related professional experience in software development is required
- Having work experience in Pharma/Life sciences background is advantage
- Expertise in visualizing and manipulating big datasets
- Proficiency with Python and experience with NLP frameworks like RASA, Dialogflow, and libraries like NLTK, spaCy and others
- Experience of deep learning frameworks such as TensorFlow or PyTorch is required
- Experience developing new applications within an agile environment preferred
- Ability to lead a team of developers and mentor junior developers.
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