Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description The Experian Innovation Lab is a research and development unit at Experian formed with the desire to work in collaboration with Experian's teams to enhance relationships with clients and acquire strategic datasets. Using our comprehensive understanding of individuals, markets and economies, we help organizations develop customer relationships to make their businesses more profitable. As a Data Scientist at the Experian Innovation Lab, you will help develop analytical solutions, contributing to product prototypes, and helping evaluate data assets. You will bring experience in predictive modeling, machine learning, and deep learning to this position. You will report into the VP Data Science You'll have opportunity to: - Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources. - Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques. - Refine data manipulation and retrieval through the design of efficient data structures and storage solutions. - Innovate with tools designed for data processing and information retrieval. - Dissect and document vast datasets, analyzing them to highlight patterns and insights. - Solve complex challenges by developing impactful algorithms. - Ensure model excellence by validating performance scores and analyzing Return on investment and benefits. - Articulate model processes and outcomes, documenting and presenting findings and performance metrics. Qualifications - Master's degree or higher in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field. - 1 or more years of experience in AI, data science, or predictive modeling - Proficiency in at least one programming language, with coding skills in Python - Experience with deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or, reinforcement learning. - Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas. - Experience with large data analysis using Spark (pySpark) - Experience with LLMs and the relevant tools in the Generative AI domain. - Experience developing advanced language models - Experience applying Generative AI-based tools - Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra. - Experience modifying and applying advanced algorithms to address practical problems Additional Information Benefits/Perks: - Great compensation package and bonus plan - Core benefits including medical, dental, vision, and matching 401K - Flexible work environment, ability to work remote, hybrid or in-office - Flexible time off including volunteer time off, vacation, sick and 12-paid holidays - Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site. Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Remote - Employee Status: Regular - Role Type: Home - Job Posting - Salary Range: $133,109 - $239,596 - Department: Technology - Schedule: Full Time

• Responsible for all data management activities in support of clinical studies, including: eCRF development • Database build activities, including database development, edit check specifications and performance of user acceptance testing • Data collection, data cleaning and reporting • Document project-specific data management, data validation, data transfer and data entry guidelines to ensure appropriate, consistent, and efficient processing of data in collaboration with key stakeholders • Develop and execute data validation programs and generate queries on potentially discrepant data • Design, develop and execute programs to support data reporting, central monitoring, identification of patients and data transformations. • Responsible for the coordination and execution of the review and verification of all data collected for a project, including reconciliation of external data (e.g., central laboratories, local laboratories) to ensure all data is correct, complete, and logical • Interface with internal functional teams responsible for data quality and delivery to ensure a robust, quality regulatory-grade data pipeline • Responsible for documentation activities, including development and maintenance of the data management project file and close out activities, including locking and archival of the final project database • Contribute to department process improvement efforts and authorship and/or review of department SOPs

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds... ClinChoice is currently recruiting for an Associate Director/Director Biostatistician to join our team in a permanent position—an exciting opportunity to lead impactful statistical strategy in a dynamic environment. Job Summary We are seeking an Associate Director/Director Biostatistician to provide strategic and technical leadership to support and lead statistical activities for clinical trials across multiple studies. This role requires hands-on statistical expertise, strong communication skills, and the ability to lead multiple projects while collaborating closely with cross-functional teams. Key Responsibilities - Provide statistical leadership across one or more clinical programs, including study design, analysis strategy, and interpretation of results. - Lead the development and review of statistical deliverables, including protocols, SAPs, TFLs, ISS/ISE, and regulatory submission materials. - Serve as a key statistical representative in cross-functional team discussions and governance meetings - Ensure statistical approaches comply with regulatory standards and industry best practices. - Review and interpret analysis outputs, ensuring accuracy, quality, and regulatory compliance - Collaborate with cross-functional teams, including Clinical, Programming, Data Management, and Regulatory - Provide guidance and oversight to statistical programmers as needed - Communicate statistical concepts, results, and risks clearly to both technical and non-technical stakeholders - Ensure adherence to regulatory standards (FDA, ICH, GCP) and company SOPs Required Qualifications - MS or PhD in Statistics, Biostatistics, or a related field - 10+ years of experience in biostatistics within the pharmaceutical, biotechnology, or CRO industry. - Strong experience supporting clinical trials across all phases. - Excellent communication skills, with the ability to clearly explain statistical concepts to non-statistical stakeholders. - Strong experience in Immunology clinical studies (required) - Proven ability to lead projects and studies independently The Application Process Once you have submitted your CV, you will receive an acknowledgement that we have received it. If you have the requirements we need, you will be invited for a phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset, and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our industry-average turnover rates below. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #Principal#Permanent

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description The Experian Innovation Lab is a research and development unit at Experian formed with the desire to work in collaboration with Experian's teams to enhance relationships with clients and acquire strategic datasets. Using our comprehensive understanding of individuals, markets and economies, we help organizations develop customer relationships to make their businesses more profitable. As a Data Scientist at the Experian Innovation Lab, you will help develop analytical solutions, contributing to product prototypes, and helping evaluate data assets. You will bring experience in predictive modeling, machine learning, and deep learning to this position. You will report into the VP Data Science You'll have opportunity to: - Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources. - Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques. - Refine data manipulation and retrieval through the design of efficient data structures and storage solutions. - Innovate with tools designed for data processing and information retrieval. - Dissect and document vast datasets, analyzing them to highlight patterns and insights. - Solve complex challenges by developing impactful algorithms. - Ensure model excellence by validating performance scores and analyzing Return on investment and benefits. - Articulate model processes and outcomes, documenting and presenting findings and performance metrics. Qualifications - Master's degree or higher in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field. - 1 or more years of experience in AI, data science, or predictive modeling - Proficiency in at least one programming language, with coding skills in Python - Experience with deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or, reinforcement learning. - Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas. - Experience with large data analysis using Spark (pySpark) - Experience with LLMs and the relevant tools in the Generative AI domain. - Experience developing advanced language models - Experience applying Generative AI-based tools - Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra. - Experience modifying and applying advanced algorithms to address practical problems Additional Information Benefits/Perks: - Great compensation package and bonus plan - Core benefits including medical, dental, vision, and matching 401K - Flexible work environment, ability to work remote, hybrid or in-office - Flexible time off including volunteer time off, vacation, sick and 12-paid holidays - Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site. Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Remote - Employee Status: Regular - Role Type: Home - Job Posting - Salary Range: $133,109 - $239,596 - Department: Technology - Schedule: Full Time