Trigent Software - Data Scientist - Artificial Intelligence/Machine Learning (1-2 yrs)

Title: Data Scientists/Senior Data Scientist.

Location: Remote and flexible Hybrid (Bangalore).

Duration: Full-time.

Senior Data Scientists with extensive AI/ML/NLP and Production Automation/Optimization.

Experience :

Individual Profile Overview :

An accomplished senior data scientist with at least a decade of specialized experience in. applying Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP),. and Production Automation/Optimization techniques within the Contract Research Organization. (CRO) industry.

Over the years, this individual has melded domain-specific expertise in clinical research with advanced analytical capabilities to drive innovation and enhance the efficacy of clinical trials.

Key Qualifications :

- Advanced Expertise : Mastery over a wide range of AI/ML/NLP methodologies, ensuring optimal model selection and implementation based on specific project. requirements.

- Domain Knowledge : Deep understanding of the clinical trials landscape, including. regulatory compliance, data management practices, trial phases, and the unique challenges posed by the industry.

- Project Management : Demonstrated ability to lead complex data-centric projects from conception to completion, liaising with cross-functional teams, stakeholders, and external partners, mastered clear documentation methodologies with guarantee to apply your work experience in a simple and readable format to satisfy regulatory requirements.

- Technical Proficiency : Expertise in popular AI/ML/NLP frameworks and tools like TensorFlow, PyTorch, Scikit-learn, and NLTK.

- Comfortable working with big data technologies and Windows Azure cloud platform.

- Research & Development: History of pioneering research initiatives that enhance trial outcomes, patient recruitment strategies, drug efficacy and medical devices predictions using AI/ML/NLP techniques.

Core Competencies :

- Data Wrangling: Proficiency in handling, cleaning, and preprocessing diverse datasets, especially those common in clinical trials, to make them suitable for AI/ML/NLP applications.

- Model Development : Designing, building, testing, and deploying predictive or analytical models tailored to address specific challenges in clinical trials, such as patient recruitment, adverse event prediction, or data analysis from patient narratives.

- NLP Expertise : Extracting insights from unstructured text data like patient medical.
records, clinical notes, or literature, using advanced AI/ML/NLP and Automation techniques