Senior AI Engineer at Statistics & Data Corporation (SDC)

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

09 Sep, 26

Salary

0.0

Posted On

11 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AI/ML Libraries, NLP, LLM Integration, Agentic Workflows, Microsoft Azure, Azure OpenAI, SQL, CI/CD, DevOps, Software Development Lifecycle, Clinical Data Analysis, Multi-step Reasoning, Information Retrieval, Anomaly Detection, Clustering

Industry

Biotechnology Research

Description

Senior AI Engineer Statistics & Data Corporation (SDC), a specialized contract research organization (CRO) headquartered in Arizona, delivering top-tier clinical trial services to pharmaceutical, biologic, and medical device/diagnostic companies since 2005. SDC providing a technology enabled service offering to provide clients with both clinical services expertise, as well as the technology they need to be successful in their clinical trials. Job Summary Perform research, design, and development of Artificial Intelligence (AI) solutions leveraging agentic workflows toward automating the ingestion, processing, analysis, and visualization of clinical trial data. Transform structured and unstructured clinical data into actionable information that supports better understanding of trends, safety signals, and therapy efficacy. Deploy high-performing AI models and agent-based systems into production environments. Work with internal stakeholders to develop solutions that improve efficiency, scalability, and accuracy across clinical data processes. Contribute to the organization’s strategic objective to be at the forefront of applying AI, LLMs, and NLP technologies within clinical trials to enhance data-driven decision making and uncover complex patterns. Primary Responsibilities • Design, develop and deploy AI/ML models, LLM-based solutions, and agentic workflows which automate the analysis, interpretation, and correlation of clinical data • Develop pipelines and systems that leverage NLP to extract, summarize, and derive insights from structured and unstructured clinical datasets • Build and orchestrate agent-based workflows capable of multi-step reasoning, task execution, and integration with enterprise systems and APIs • Maintain and enhance existing AI/ML models, pipelines, and applications on a regular basis • Increase team productivity by developing, identifying, and implementing improved tools, frameworks, and processes for AI and software development • Engage with internal cross-functional stakeholders to design and implement AI-driven solutions while developing a strong understanding of underlying clinical data and business workflows • Exemplify best practices in documentation, coding, testing, and deployment of AI-enabled applications • Develop and contribute to standard operating procedures for artificial intelligence, agentic workflows, and software development practices within clinical trial environments • Prototype new AI capabilities, tools, and technologies to create proof-of-concepts and demonstrations • Provide mentorship and technical guidance to engineers and data scientists • Assist in execution of responsibilities across engineering and data science functions, including the following: o Develop and deploy AI/ML models, LLM solutions, and agentic workflows o Assist in design and research of new models, architectures, and frameworks o Maintain and enhance existing AI and analytics solutions o Deliver high-quality technical design and software documentation o Prototype new ideas and technologies o Contribute to development and adoption of standards and best practices • Perform other related duties incidental to the work described herein • Adherence to all essential systems and processes that are required at SDC to maintain compliance to business and regulatory requirements The above statements describe the general nature and level of work being performed by individuals assigned to this classification. This document is not intended to be an exhaustive list of all responsibilities and duties required of personnel so classified. Required Skills • Expert in Python and AI/ML libraries, including frameworks supporting NLP and LLM integration • Strong understanding of AI/ML algorithms and techniques, including natural language processing, classification, clustering, anomaly detection, and information retrieval • Experience developing and deploying LLM-based applications, agentic workflows, and AI-powered systems in production environments • Experience working with Microsoft Azure ecosystem, including Azure AI Foundry, Azure OpenAI, and Azure Machine Learning • Strong proficiency in SQL and working with large-scale structured and unstructured datasets • Experience with software development lifecycle, including CI/CD and DevOps practices • Ability to work with stakeholders to translate business and clinical requirements into clear technical solutions • Ability to communicate effectively in writing and verbally with both technical and non-technical audiences • Ability to identify issues, define problems, and implement effective solutions • Capability to communicate complex AI and technical concepts clearly, concisely, and effectively • Strong organizational and time management skills, with the ability to manage multiple priorities simultaneously • Strong interpersonal, collaboration, and presentation skills Preferred Skills • Experience applying AI/ML, NLP, or LLM-based solutions within healthcare, life sciences, or clinical research environments • Familiarity with clinical data standards, including CDISC (SDTM, ADaM), and other regulatory data models • Exposure to working in regulated environments, including GxP, FDA compliance, or similar frameworks • Understanding of clinical trial processes, data collection methods, and operational workflows • Experience developing or supporting solutions involving clinical datasets, patient data, or safety/efficacy analysis • Familiarity with data governance, validation, and audit requirements within regulated industries • Experience collaborating with cross-functional teams including clinical, regulatory, and data management stakeholders Education or Equivalent Experience • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field • Minimum of 7 years of relevant experience in software engineering, application development, or data science • Minimum of 3 years of experience in AI/ML, NLP, or large language model solutions • Experience working within structured software development lifecycle (SDLC) frameworks and Agile methodologies Why SDC SDC is a team of diversified professionals who deliver exceptional Biometric Services, Consulting, and Technology Solutions to pharmaceutical, biologic, and medical device/diagnostic companies. Since 2005 our purpose has been to partner with sponsors to provide high quality and experienced team members to develop great medicines that save lives and cure diseases in the most efficient manner possible. Our global team operates as a value partner to our clients by fulfilling their needs as our own and delivering exceptional results. We are a specialty CRO in that we provide scalable service offerings, focused services area specialists, efficient project timelines, optimal technology solutions, and proven success and experience. Our commitment to our clients is the same commitment to our employees. By offering strong benefits including competitive pay, generous time off, attainable career advances and positive work/life balance, we are able to attract some of the most talented people in the industry. • We are committed to developing our employees. We recognize achievements, provide growth opportunities and career advancement, offer a flexible work schedule, engaging work culture and employee benefits. • We are passionate about our company culture. Our recognition program is directly tied to our core values of Energy, Integrity, Engagement, Innovation, Ownership, and Commitment. • We strive to provide a place of belonging to our employees with fun and engaging activities from SDC’s culture club. • We are constantly growing and innovating to support our client and employee needs. Global in nature, we bring diverse perspectives enabling our growth in this ever-evolving industry. • With a proven track record, SDC has been successfully executing client clinical programs since 2005. Take a look at how you can join our team! #LI-Hybrid

Responsibilities

Design and deploy AI/ML models and agentic workflows to automate the ingestion and analysis of clinical trial data. Collaborate with stakeholders to transform structured and unstructured data into actionable insights for therapy efficacy and safety.