Description
In this role, you will be a crucial part of the D&A team at WCG Clinical, contributing to the development of innovative AI-based solutions that enhance clinical trial processes. WCG Clinical values a diverse skill set and offers a dynamic work environment for individuals passionate about leveraging AI technologies in the healthcare industry.
About
WCG Clinical, located in Karnataka, India, is a leading organization in the Data & Analytics (D&A) domain. As a prominent player in the clinical trial industry, WCG Clinical focuses on developing analytics-driven solutions to optimize and streamline end-to-end clinical trial processes. The organization is committed to leveraging cutting-edge AI/ML, Deep Learning, and Large Language Models (LLM) technologies to enhance decision-making in the clinical trial domain.
Responsibilities
As an AI Engineer at WCG Clinical, your responsibilities include:
- Collaborating with cross-functional teams to collect, clean, and integrate diverse healthcare and clinical trial data from various sources.
- Designing, developing, and implementing machine learning and deep learning models to address specific challenges in clinical trials, including patient recruitment, data analysis, protocol study, anomaly detection, document entity extraction, document generation, translation, and outcome prediction.
- Creating data pipelines and workflows to preprocess and transform data into a format suitable for analysis and modeling.
- Modifying and fine-tuning pre-trained language models to interact with human users.
- Engineering large language models with custom functions and the ability to call external tools.
- Aligning large language models based on user feedback or ad-hoc annotation processes.
- Designing ad-hoc annotation processes and training large language models with authoritative data.
- Conducting rigorous testing and evaluation of machine learning models to ensure accuracy, reliability, and robustness.
- Developing interactive data visualizations and dashboards to communicate insights to technical and non-technical stakeholders.
- Maintaining detailed documentation of data engineering and analytics processes, including code, model specifications, and best practices.
- Keeping current on the latest advancements in AI and LLM technologies and exploring their potential applications in improving clinical trial processes.
- Working closely with clinical experts, data scientists, and engineers to develop and deploy solutions that directly impact the healthcare and clinical research industry.
Skills
The following skills are required for this role:
- High scientific understanding of generative AI, with specific knowledge in LLM training, fine-tuning, and serving.
- Strong programming skills, particularly in Python.
- Proficiency in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark).
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork skills.
- Knowledge of healthcare and clinical trial processes is a plus.
- Familiarity with cloud platforms (AWS, Azure, or GCP).
- Familiarity with relational and non-relational databases and big data technologies (DataBricks, Hadoop, Kafka).
- Possess a data security mindset.
Eligibility Criteria
- Advanced degree in a quantitative discipline (statistics, applied mathematics, computer science, data mining, machine learning) with specialization in AI, particularly Neural Networks or Generative AI.
Job Type
- Full Time
- Regular
Job Location
- Karnataka, India (Remote)
