WCG Clinical Jr. Data & Analytics Engineer (India Remote) in United States
Jr. Data & Analytics Engineer (India Remote)
Location: Karnataka, India, Remote
Job Type: Full Time - Regular
Description and Requirements
The Junior Data & Analytics (D&A) Engineer plays a pivotal role in the development of analytics-driven solutions that optimize and streamline clinical trial processes. Working closely with our data & analytics team and clinical trial experts, this role will harness the power of cutting-edge AI and LLM (Machine Learning and Deep Learning) technologies for enhancing decision-making in the field of clinical trial process. The Junior D&A Engineer is part of a team that is domain agnostic, working hands-on with structured as well as unstructured data, designing algorithms and implementing innovative capabilities that cater to an array of business use cases within the data & analytics function at WCG. As a core member of the data & analytics team, the Junior D&A Engineer designs and builds analytics frameworks, documents best practices, and works with the architecture and infrastructure teams on developing patterns.
- Bachelor’s degree in a quantitative discipline (i.e. statistics, applied mathematics, computer science, data mining, machine learning, or some other empirical science) with specialization in data science, engineering or related field preferred
Strong programming skills, particularly in Python
Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark)
Proficiency with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch)
Excellent problem-solving and analytical skills
Strong communication and teamwork skills
Knowledge of healthcare and clinical trial processes is a plus.
Familiarity in a cloud platform (AWS, Azure)
Familiarity with relational and non-relational databases and how they work
Familiarity with big data technologies such as DataBricks, Hadoop, and Kafka
Possess a data security mindset
ESSENTIAL DUTIES/RESPONSIBILITIES: To perform this job successfully, an individual must be able to perform each essential duty and responsibility satisfactorily. The accountabilities listed below are representative of the knowledge, skills, and/or ability required.
Data Collection and Integration: Collaborate with cross-functional teams to collect, clean, and integrate diverse healthcare and clinical trial data from various sources.
Machine Learning Model Development: Design, develop, and implement machine learning and deep learning models to address specific challenges in clinical trials, such as patient recruitment, data analysis, protocol study, anomaly detection, document entity extraction, document generation, translation, and outcome prediction.
Data Processing: Create data pipelines and workflows to preprocess and transform data into a format suitable for analysis and modeling.
Model Evaluation: Conduct rigorous testing and evaluation of machine learning models, ensuring accuracy, reliability, and robustness.
Data Visualization: Develop interactive data visualizations and dashboards to communicate insights and outcomes to both technical and non-technical stakeholders.
Documentation: Maintain detailed documentation of data engineering and analytics processes, including code, model specifications, and best practices.
Research and Innovation: Stay updated on the latest advancements in AI and LLM technologies and explore their potential applications in improving clinical trial processes.
Collaboration: Work closely with clinical experts, data scientists, and engineers to develop and deploy solutions that directly impact the healthcare and clinical research industry.
Other duties as assigned by supervisor. These may, on occasion, be unrelated to the position described here.
TRAVEL REQUIREMENTS: 0% – 5%
WCG is proud to be an equal opportunity employer – Qualified applicants will receive consideration for employment without regard to race, color, national origin or ancestry, religion or creed, sex, sexual orientation, gender identity, age, marital status, disability, genetic information, citizenship, veteran status, reprisal or any other legally recognized basis or status protected by federal, state or local law.
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