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 Strategy Act 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 partner Drive HR policies and processes, ensuring compliance and best practices. Conduct Exit Interviews & retention conversations Drive 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 HRBP Experience 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 BI Role 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 & Insights Analyse 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 & Reporting Design, 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 Support Work 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.

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, Remote Job Type: Full-time Experience Required: 5+ years Job 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.

Responsibilities: Take initiatives to innovate and challenge current processes and bring in efficiencies. Overseeing book closure. Preparation of monthly financials, standalone financials, and consolidated financials for the group as per IndAS. Point of Contact (POC) for statutory audit, internal audit, and IFC. Handle a team. SAP working experience. Contribute to SAP integration for the respective field. This is a great opportunity for the right person to learn and grow in an MNC setting. Requirements: You are a CA with 4+ years of working experience in the Corporate Finance & Accounts team with experience in SAP and consolidation of entities. Proficiency in Excel and curiosity to learn new tools. In-depth understanding of Ind AS, accounting practices and policies, book closure, and MIS process. Good presentation and communication skills with meticulous attention to detail. Strong organization, time management skills, and ability to multitask. High levels of ownership, ability to work independently under guidance, proactive. You are a self-starter, a good communicator, have team spirit, and take ownership in the work. Your energy and curiosity will help you understand and evolve our processes. Location of Work: Bangalore/Hyderabad/Delhi/Remote Qualification: CA with 4+ years of experience.

Excelra is currently seeking passionate and detail-oriented professionals for the role of Omics Metadata Annotation and Harmonization Specialist / Data Asset Creator / Subject Matter Expert . If you have a strong background in life sciences and a keen interest in enhancing the quality and usability of large-scale omics datasets, we would love to connect with you! About the Role: As part of our dynamic team, you will: Curate and annotate omics metadata (genomics, epigenomics, transcriptomics, proteomics). Apply controlled vocabularies and ontologies (e.g., MeSH, GO, EFO) to ensure data consistency. Harmonize metadata across diverse datasets to support integrative research. Uphold FAIR data principles to enable seamless data integration and analysis. What Were Looking For: Ph.D./M.Sc./M.Tech in Life Sciences with strong domain knowledge. Experience with molecular biology techniques and omics data interpretation. Familiarity with repositories like GEO, ArrayExpress, NCBI, and ontologies. Excellent communication, problem-solving skills, and attention to detail. Bonus Skills: Experience in metadata curation and harmonization. Knowledge of Linux, BASH scripting, R, or cloud computing. Why Excelra? At Excelra, we blend scientific expertise with cutting-edge technology to transform research data into actionable insights. Join us in driving innovation in drug discovery and development. Location: Hyderabad, Bangalore, Delhi/NCR If this opportunity excites you or someone in your network, we encourage you to apply or share this message. Looking forward to hearing from you!

Program Management Team/Bioinformatics BU (Full Time Employment) Excelra is looking for highly skilled and motivated members for the Program Management Team with technical experience across multiple domains (AI/ML,NGS/human genetics/statistics, software development, project management, agile methodology) in bioinformatics to join the Bioinformatics team. The successful candidate will be expected to demonstrate the following competencies: 1. Project management as well as program management across different projects in key client accounts. 2. Liaison the relationship between client and Excelra 3. Contribute to efforts to increase operational efficiency among projects. 4. Collaboration with delivery for successful delivery of projects 5. Interact with the technical stakeholders of clients to identify new business opportunities. Qualifications: • PhD with 2-3 years of industrial experience or M.Sc/M.Tech with 5+ years’ experience in Bioinformatics, Computer Science, Bioengineering, Computational Biology, or related field. • Strong track record of omics (NGS) data analysis, scRNA-Seq analysis or ML/AI and downstream systematic interpretation are must. • Expertise in one or more programming/scripting languages such as R, Python, shell-script for complex data analysis. • Experience in image analysis, knowledge graphs, deep learning and/or LLM’s is an advantage. • Some experience in data engineering techniques, full-stack development is expected. • Understanding of current best practices in computational biology data-management (NGS/Transcriptiomics/Microarray/Proteomics/Clinical-trials/Text-mining, etc.) is an added advantage. • Experience with Docker, Linux environment or cloud computing (AWS/GCP) is a plus. • Experience with Relational database such as Postgres, MySQL, or Oracle, is a plus. • Experience with version control systems such as GitHub, is a plus. • Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods, and tools. • Ability to generate scientific hypothesis along with good scientific/technical communication skills would be preferred. Show more Show less