Principal/Senior-level role focused on clinical and indication-specific data review, eCRF/EDC guidance, RBQM support, and cross-functional collaboration for oncology (required), rare disease, and autoimmune studies. Requires a minimum of 8 years clinical research experience, at least 3 years oncology experience (within the past 1.5 years), and a minimum of 1 year leadership experience. Remote role available in specified countries; occasional domestic and international travel (~up to 25%). Candidates must be authorized to work in the country of employment without employer sponsorship.

Parexel seeks a Senior Statistical Programmer (SAS) for FSP work dedicated to a single sponsor. The role is remote (Poland, Romania, Serbia, Hungary) and involves creating SAS programs for derived analysis datasets and tables/listings/figures, performing programming validation, reviewing planning documents (SAP, DPP), supporting e-submission preparation, interacting with vendors, and ensuring compliance with regulatory and company standards. Required: bachelor's degree in a quantitative/life science field, proficiency in SAS, several years of clinical/statistical programming experience, knowledge of CDISC/clinical data standards, and experience with tools such as Pinnacle 21 and XML.

Kraken is hiring a remote Data Analyst (Regulatory Analytics & Reporting) to turn complex compliance and regulatory data into audit-ready reports and dashboards. Responsibilities include building and automating data pipelines and governance controls, designing compliance metrics and regulatory reports, supporting audits and ad-hoc requests, and partnering with engineers and compliance teams. Requires 5+ years in data analysis/data management in financial or regulated industries and hands-on experience with SQL, Python (pandas, plotting), dbt, Airflow and BI tools.

Lead analytics and measurement work for Wikimedia's anti-abuse, safety, and security efforts. Responsibilities include designing experiments and metrics, performing quantitative research using Bayesian and frequentist approaches, collaborating with product, research, and engineering teams to develop and evaluate AI/ML models, building self-service dashboards, and working with large-scale data using tools such as Hive, Presto, Druid, Spark, Apache Iceberg, DBT, Airflow, and Superset. Fluency in Python or R, SQL, and experience with experimental design, statistics, and machine learning are emphasized.

The Data Surveillance Analyst conducts data and operational reviews per project Data Surveillance Plans, helps develop DSPs (KRIs, QTLs, statistical parameters), configures surveillance technologies (e.g., CluePoints), documents findings and issues, and supports central monitoring reporting. Requires a university degree (medical/biological/pharmacy/data analytics), fluent English, hands-on experience with SAS/R/SQL, knowledge of RBQM and centralized/data-driven monitoring, and familiarity with CTMS/EDMS and SDTM concepts.

Role focuses on independent validation and ongoing monitoring of Transaction Monitoring, Customer Risk Assessment and Screening models (including AI models), ensuring regulatory compliance (e.g., EU AML/CFT Directives, US BSA/AML, FATF), conducting risk assessments, producing validation and compliance reports, and collaborating with model owners and AML/CFT subject-matter experts. Requires a quantitative degree, 5+ years' relevant experience, and proficiency with Python/R/SQL and data visualization tools.

Parexel is recruiting a Senior PK Analyst (remote) based in one of the listed countries. The role delivers PK/PD parameter derivation, programs and validates NONMEM datasets and derived PK/PD datasets, and prepares tables, listings, figures and statistical appendices. Requires 4+ years' relevant experience, strong R and/or SAS skills (R preferred), experience with Phoenix WinNonlin, knowledge of regulatory standards (ICH/GCP), and ability to work independently and mentor others.

Parexel is hiring a home-based Data Surveillance Analyst for selected EMEA locations (Croatia, Hungary, Czech Republic, Lithuania, Poland, Serbia, Romania) and South Africa (Bloemfontein). The role involves developing Data Surveillance Plans (KRIs, QTLs, central statistical analysis), configuring and maintaining surveillance technologies (e.g., CluePoints), performing data reviews, documenting findings, and supporting meetings and audits. Requirements include a university degree (medical/biological/pharmacy/data analytics), fluent English, and hands-on experience with SAS, R, and/or SQL; experience with RBQM, centralized monitoring, CTMS/EDMS, and basic SDTM knowledge is also noted.

The Senior Data Scientist will design, train, validate, and maintain machine learning models (tabular and time-series), run experiments, perform deep data analysis, build and debug data pipelines, and collaborate with ML and Data Engineers to bring models to production. Requires 5+ years experience, advanced SQL and OLAP/OLTP knowledge, and familiarity with cloud platforms, containers, and MLOps tools. Salary range provided in the posting: EUR 6,500–9,000 gross.

Work on the Data Science Functional Team to drive product and business impact via statistical modeling, experiment design, Bayesian marketing analysis, classifier implementation, and ML in production across search, AI, and revenue. Requires 7+ years in data science, production-grade Python coding, advanced SQL and query optimization, familiarity with columnar databases (BigQuery/ClickHouse/Redshift/Druid), and experience with BI tools (Tableau/Power BI) is a plus. Remote role with an average full-time commitment of 40 hours/week, periodic travel (~2 times/year), and a background check requirement.

Hands-on role building and deploying machine learning and graph analytics solutions for fraud and risk use cases. Responsibilities include client-facing problem solving, prototyping models, production model deployment, defining and tracking metrics, conducting EDA and cohort analysis, creating self-serve BI dashboards, and collaborating with Product and Engineering. Remote across UK, Germany, Spain, Ireland, Poland, Netherlands, Lithuania, and Bulgaria.

Prezi is hiring a Senior Data Analyst to join the Data Science & Analytics team (remote across listed European countries). The role involves end-to-end analyses (requirements, data processing, presentation), building dashboards and data products, defining metrics, quantifying impact, fostering self-service analytics, and collaborating with data engineering. Required: 5+ years in data/business analytics, proficiency in SQL and Python (or other scripting), experience with statistical analyses (funnel analysis, clustering, forecasting, recommender systems), dashboard building, strong English communication, and interest/experience in AI tools. Bonus experience: AWS, ETL pipelines, SaaS analytics, personalization/recommendation work.

Parexel seeks a Senior Associate with a Master's/PhD and at least 3 years' experience in pharma, consultancy, HTA/access, or academia. The role involves designing evidence-generation plans, conducting statistical analyses (e.g., GLMs, survival analysis, NMA, Bayesian methods), developing technical documentation and economic models, and contributing to cross-functional Access/HTA strategies. Proficiency in R and GitLab is required; familiarity with SAS, Python, WinBUGS, or JAGS is a plus.