Principal Data Engineer full-time remote from anywhere in India #LI-Remote Description: The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions: Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Maintain compliance with data privacy regulations such as HIPAA, GDP May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities: Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication and collaboration skills. Experience working in an Agile development environment. Minimum Requirements: Bachelor s Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master s Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data
Principal AI Data Scientist full-time remote from anywhere in the India #LI-Remote Description: The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Research and Development. Essential Functions: Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients engagement. Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Ensuring compliance with regulatory requirements and data privacy standards. Required Knowledge, Skills and Abilities: Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Minimum Requirements Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge of digital healthcare tools design and development
Type : full-time. Location : Remote from anywhere in the India. Description The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients engagement. Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Ensuring compliance with regulatory requirements and data privacy standards. Required Knowledge, Skills And Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Minimum Requirements Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field. 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge of digital healthcare tools design and development. (ref:hirist.tech)
Job Description The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Maintain compliance with data privacy regulations such as HIPAA, GDP. May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills And Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication and collaboration skills. Experience working in an Agile development environment. Minimum Requirements Bachelor's Degree in Computer Science or other relevant scientific fields; Master's Degree preferred. 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data. (ref:hirist.tech)
Full-time Remote from anywhere in India. #LI-Remote At least 2 to 5 years of hands-on experience as an EDC programming specific to Veeva CDMS Must have experience with Veeva CDMS. Must have experience in eCRF development, Rules Programming, and study deployment activities. Deep knowledge of Veeva study configuration including eCRFs, Events, Schedule, EDC Tools Solid understanding of Veeva CDMS object hierarchy and post-production change process Good to have Veeva Study builder certification Interact with clients as needed for EDC Programming questions and issues Proven ability to organize and effectively prioritize workload and deliverables Strong enthusiasm to learn new domains and technologies
As a Technical Configuration Specialist at our company, your responsibilities will include: - Performing the technical configuration of the CluePoint Central Monitoring Platform solution for clinical studies based on requirements. - Leading technical study level set-up and supporting ongoing refreshes based on defined frequency. - Creating templates and leading Prep Meetings with CM to review analysis set-up and dashboards in preparation for study team meetings. - Creating various dashboards such as KRI, DQA, QTL, and SPOT. - Managing Study Configuration and supporting CM in defining study requirements. - Ensuring pre-processing activities are complete, such as data availability (pre-defined), which is an already established set-up, just a request. - Creation of Study.,
Full-time Remote from anywhere in India. At least 2 to 5 years of hands-on experience as an EDC programming specific to Veeva CDMS Must have experience with Veeva CDMS. Must have experience in eCRF development, Rules Programming, and study deployment activities. Deep knowledge of Veeva study configuration including eCRFs, Events, Schedule, EDC Tools Solid understanding of Veeva CDMS object hierarchy and post-production change process Good to have Veeva Study builder certification Interact with clients as needed for EDC Programming questions and issues Proven ability to organize and effectively prioritize workload and deliverables Strong enthusiasm to learn new domains and technologies
remote from anywhere in India Full-time Job Overview The Lead Biostatistician is responsible for the overall statistical management of services for projects to assure high quality and on-time delivery in accordance with Atorus and/or sponsor standard operating procedures (SOPs), Good Clinical Practice (GCP), ICH Guidelines and sponsor requirements. Provides leadership and statistical expertise into clinical development plans, concepts, and protocols as well as conducts statistical analysis and validates and interprets statistical analysis results. Job Responsibilities Provide statistical leadership and statistical expertise into clinical development plans, concept sheets and protocols for clinical development projects, represent company and the statistical team on the Product Development Teams of sponsors. Provide oversight of statistical analysis plans, statistical outputs, and other documents as required. Provide statistical input into study protocols, Case Report Forms, and data management plans, DSMBs and write statistical analysis plans, review or create analysis dataset specifications, and perform statistical analyses. Provide statistical output as required for manuscripts and ensures that the results are accurately interpreted in the publications. Review and contribute to study reports and clinical and statistical sections of regulatory submission dossiers, lead electronic submissions of clinical data to regulatory authorities, and participate to meetings with regulatory authorities. Manage biostatisticians and statistical programmers with respect to statistical strategy, deliverables and processes. Generate the use of innovative statistical methodology approaches by identifying, adapting, developing or using optimal statistical research methodologies and techniques appropriate to each project, and contribute internally and externally to the development and visibility of the company and of the Clinical Services department through her/his expertise and customer orientation. Contribute to the development of sourcing strategy for projects. Develop strong collaboration and communication with sponsor cross-functional teams and sponsor Biostatistics management. Qualifications And Education Requirements Master's degree in Statistics, Biostatistics, or related discipline. Ph.D. preferred. 5-10 years experience in statistical or biostatistical analysis supporting clinical trial operations for drug development in the pharma/biotech industry 5+ years working knowledge of SAS and/or R programming languages (combined) Study Lead experience working with cross-functional teams. Experience leading global teams a plus. Experience in sample size calculation, protocol concept development, protocol development, SAP and preparing clinical study reports including integrated summaries for submissions. Good SAS programming skills for QCing critical outputs, Efficacy/Safety tables and working closely with Programmers. Knowledge of R programming a plus. Solid understanding & implementation of CDISC requirement for regulatory submissions. Adept in ADaM specifications generation and review of datasets. Effective communicator: able to explain methodology and consequences of decisions in lay terms. In-depth knowledge of applicable clinical research regulatory requirements, i.e., Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines Familiarity with advanced, complex statistical methods that apply to applicable clinical trials. Preferred Skills Energized self-starter Excellent organizational skills Excellent communication skills, verbal and written Exceptional attention to detail Strong interpersonal skills work within a cross-functional team Excellent problem-solving skills Effective decision maker able to exercise good judgment and take appropriate action independently Flexible, team player Proven ability to organize and effectively prioritize workload and deliverables
full-time remote from anywhere in India About The Role We’re looking for a frontend developer with strong experience in React and R Shiny to build modern, modular, and interactive web applications. The ideal candidate is equally comfortable following Figma wireframes to produce pixel-perfect UIs and structuring enterprise Shiny applications and React.js applications with advanced backend logic and state management Key Responsibilities Develop responsive, high-quality user interfaces using React.js and Shiny Implement custom React and Shiny components based on Figma wireframes Build modular and maintainable Shiny architectures using modules, R6 classes, and operational programming for backend state management Experience with data visualization libraries such as D3.js, Plotly, or Highcharts Integrate React Router (or Shiny equivalents) for dynamic navigation and routing Customize or build widgets using HTML, JavaScript, and CSS to extend Shiny’s interactivity Optimize application performance and ensure consistent user experience across browsers Work closely with backend and data teams to design clean APIs and reactive data flows Qualifications 3+ years of experience in front-end development with React.js 3+ years of hands-on experience developing Shiny applications Proven ability to structure Shiny apps modularly and manage application state using R6 or equivalent design patterns Strong knowledge of HTML, CSS, JavaScript, and React Router Experience building or extending Shiny widgets with custom HTML/CSS/JS Familiarity with Figma and ability to translate design systems into reusable React/Shiny components Experience integrating Shiny with JavaScript frameworks or APIs a strong plus Strong debugging, performance optimization, and version control (Git) skills Preferred But Not Required Experience with UI/UX design principles, design systems, or accessibility standards Experience working with backend systems, APIs, or databases (e.g., PostgreSQL, DuckDB, or REST APIs) Familiarity with Docker or containerized Shiny deployments Understanding of CI/CD pipelines, GitHub Actions, or automated testing for R/Shiny apps Exposure to DevOps or data engineering workflows supporting Shiny-based analytics platforms Familiarity with clinical trial data visualization or data-intensive dashboards
full-time remote from anywhere in India About The Role We're looking for a frontend developer with strong experience in React and R Shiny to build modern, modular, and interactive web applications. The ideal candidate is equally comfortable following Figma wireframes to produce pixel-perfect UIs and structuring enterprise Shiny applications and React.js applications with advanced backend logic and state management Key Responsibilities Develop responsive, high-quality user interfaces using React.js and Shiny Implement custom React and Shiny components based on Figma wireframes Build modular and maintainable Shiny architectures using modules, R6 classes, and operational programming for backend state management Experience with data visualization libraries such as D3.js, Plotly, or Highcharts Integrate React Router (or Shiny equivalents) for dynamic navigation and routing Customize or build widgets using HTML, JavaScript, and CSS to extend Shiny's interactivity Optimize application performance and ensure consistent user experience across browsers Work closely with backend and data teams to design clean APIs and reactive data flows Qualifications 3+ years of experience in front-end development with React.js 3+ years of hands-on experience developing Shiny applications Proven ability to structure Shiny apps modularly and manage application state using R6 or equivalent design patterns Strong knowledge of HTML, CSS, JavaScript, and React Router Experience building or extending Shiny widgets with custom HTML/CSS/JS Familiarity with Figma and ability to translate design systems into reusable React/Shiny components Experience integrating Shiny with JavaScript frameworks or APIs a strong plus Strong debugging, performance optimization, and version control (Git) skills Preferred But Not Required Experience with UI/UX design principles, design systems, or accessibility standards Experience working with backend systems, APIs, or databases (e.g., PostgreSQL, DuckDB, or REST APIs) Familiarity with Docker or containerized Shiny deployments Understanding of CI/CD pipelines, GitHub Actions, or automated testing for R/Shiny apps Exposure to DevOps or data engineering workflows supporting Shiny-based analytics platforms Familiarity with clinical trial data visualization or data-intensive dashboards