We are seeking an experienced ADaM, SDTM Implementation Expert with a strong background in statistical programming and clinical data standards. The ideal candidate will support biostatistical analysis by providing ADaM datasets tailored for analysis and have experience with python or Gen AI in processing SDTM data and ADaM data analysis.Location: India, RemoteJob Type: Full-timeExperience Required: 5+ yearsJob Description:Must Have:5+ years of experience in ADaM and SDTM implementation.Strong background in statistical programming and clinical data standards.Experience in supporting biostatistical analysis by providing ADaM datasets.Proficiency in Python and SQL for data handling and automation.Ability to program and validate derived datasets, statistical tables, listings, and figures (TLFs).Ensure statistical traceability from raw data to final analysis outputs.Experience in transforming clinical trial data from its raw, collected format (SDTM) into ADaM.Develop and implement SDTM and ADaM datasets in compliance with CDISC standards.Develop and maintain data pipelines, processing semi-structured, structured, and unstructured data.Experience in clinical trial data management and regulatory submissions.Experience with containerization (Docker, ECS, Kubernetes).Proficiency with SQL and NoSQL databases such as PostgreSQL, MySQL, and DynamoDB.Excellent to Have:Experience in designing, training, and fine-tuning Generative AI models (LLMs, GANs, VAEs, Diffusion Models).Ability to design and optimize prompt strategies for LLMs (GPT, Claude, Llama, Mistral, etc.).Strong understanding of LLMs, diffusion models, and generative techniques.Required Knowledge:Strong knowledge of CDISC standards, FDA guidelines, and define.xml.Ensure security best practices for AWS and Azure applications and infrastructure.Familiarity with metadata-driven programming.Knowledge of machine learning or advanced statistical modeling in a clinical research setting.How to Apply: Interested candidates can apply by sending your resume to Shyamala.gunde@excelra.com.

Role Overview:We are looking for a dynamic HR Business Partner (HRBP) to drive key HR initiatives, partner with business stakeholders, and enhance the employee experience. The ideal candidate will also act as a Centre of Excellence (CoE) for Performance Management, ensuring alignment with organizational goals.Key Responsibilities:1. Business Partnership & HR StrategyAct as a strategic HR partner to business leaders, supporting workforce planning, talent retention, and development.Provide HR insights and solutions to enhance employee performance and engagement.Organize employee connect sessions, feedback mechanisms, and well-being programs.Participate in Business All hands to present the key HR Initiatives.Support HR analytics, reporting, and dashboarding for leadership reviews.2. Performance Management (CoE/SME Role)Lead the Performance Management cycle, ensuring objective setting, continuous feedback, and annual appraisals are effectively executed.Analyse performance trends, provide insights, and recommend interventions for talent development. Partner with managers to drive a high-performance culture through coaching and capability building.3. HR Business partnerDrive HR policies and processes, ensuring compliance and best practices.Conduct Exit Interviews & retention conversationsDrive employee engagement initiatives for respective Business unit.Partner with other COEs to drive their processes.Key Qualifications & Skills:MBA in HR from a Tier-1 institute.2-3 years of HR experience, preferably as an HRBPExperience in using Darwin box HRMS (Good to have)Strong stakeholder management and influencing skills.Excellent problem-solving, communication, and analytical skills.

Job Title: HR Data Analyst Experience: 2-4 Years Education: MBA in HR / Analytics or Bachelor's in a relevant field Preferred Skills: HR Analytics, Data Visualization, Dashboarding, HR Metrics, Excel, Power BIRole Overview:We are seeking a detail-oriented and analytical HR Data Analyst to support data-driven decision-making within the HR function. The ideal candidate will analyze employee data, generate insights, and create dashboards that enable business leaders to make informed workforce decisions.Key Responsibilities:1. HR Data Analysis & InsightsAnalyse HR-related data, including workforce demographics, attrition, performance, engagement, training and other key HR metrics.Identify trends, correlations, and patterns to provide meaningful insights for business and HR leaders.Support data-driven decision-making by generating actionable recommendations based on analysis.2. Dashboarding & ReportingDesign, develop, and maintain monthly dashboards with key HR metrics and insights.Create reports and presentations summarizing trends, risks, and recommendations for leadership.Ensure data accuracy, consistency, and integrity in reporting.3. Collaboration & Business SupportWork closely with HR Business Partners and business leaders to understand workforce challenges and provide data to arrive at recommendations.Automate and improve reporting processes to enhance efficiency.Key Qualifications & Skills:2-4 years of experience in HR analytics, workforce planning, or data analysis.Strong proficiency in Excel, Power BI, or Tableau for data visualization.Understanding of HR metrics such as attrition, retention, performance trends, and engagement scores.Ability to interpret complex datasets and translate findings into actionable insights.Strong problem-solving and communication skills to present data-driven recommendations.