The Compensation Analyst will analyze compensation data, advise HR and business leaders on job evaluation and market positioning, evaluate incentive plans, and support annual salary review processes. The role requires strong analytical skills, advanced Excel and data management capabilities, and collaboration with geographically distributed HR teams.

The Operations Analyst will work with large datasets to build reports and dashboards, investigate data anomalies, support customer onboarding, and assist billing and invoicing validation. The role requires advanced SQL (BigQuery), BI tooling (Metabase, Power BI), strong Excel/Sheets skills, experience with monitoring tools, Jira, and knowledge of GDPR and data handling best practices.

Cast AI is hiring a hands-on Growth Performance Engineer to lead paid media (Google, LinkedIn, emerging channels), AI visibility (monitoring and influencing AI-generated answers), performance partnerships, full-funnel tracking and attribution, and experimentation. The role is remote-first across specified European countries; Cast AI does not provide visa sponsorship. Compensation includes salary and equity options.

The Data Surveillance Analyst will develop and support Data Surveillance Plans, configure and maintain surveillance technologies, review clinical and operational data to identify trends/outliers/risks, document findings, present results to study teams and clients, and support close-out activities. Requires degree (medical/biological/pharmacy/data analytics preferred), fluent English, minimum 3 years' relevant CRO/pharma experience, and basic SAS or SQL (or other programming) with data analytics experience. Compliance with ICH-GCP and experience with centralized/adaptive monitoring is expected.

Associate-level role contributing statistical capabilities and methodological support across project stages under supervision. Responsibilities include design and delivery of client solutions, sample size/power calculations, drafting statistical protocol sections, developing statistical analysis plans and programs, QC of outputs, and providing statistical input to clinical study reports. Requires a master's or higher in a quantitative field, strong foundation in statistical methods, and proficiency in statistical programming (e.g., R, SAS, Python, SQL).

The role manages the clinical data management process from study start-up through post database lock, including CRF specification, database build and UAT, edit checks, medical coding, AE/SAE reconciliation, vendor liaison, and training. Candidates should have 5+ years (Clinical Data Manager II) or 8+ years (Senior CDM) relevant experience; oncology experience and database migration experience are preferred. Position is remote with candidates considered in the UK, Poland, Hungary, Romania, Serbia, or Slovakia and may require occasional travel.

The Clinical Data Manager II/Senior Clinical Data Manager will manage all aspects of clinical trial data management for assigned projects, including CRF specification, database build and UAT, edit checks, medical coding, SAE/AE reconciliation, vendor coordination, documentation for the TMF, and training. Requires 5+ years as a Clinical Data Manager II or 8+ years as a Senior Clinical Data Manager; occasional travel may be required. Oncology experience and SAS familiarity are preferred.

Responsible for end-to-end clinical data management from study start-up to post-database lock for assigned projects, including CRF specifications, database build and UAT, edit check development, medical coding, SAE/AE reconciliation, data reporting, vendor coordination and documentation. Requires professional English and a minimum of 5 years' relevant experience (5+ years as Clinical Data Manager II or 8+ years as Senior Clinical Data Manager). Oncology and database migration experience preferred. Remote; candidates in UK, Poland, Hungary, Romania, Serbia or Slovakia may be considered.

Sardine seeks a Senior Data Scientist (7+ years) to measure, understand, and improve risk strategies for fraud and AML. Responsibilities include prototyping and deploying ML models and graph analytics, conducting EDA and cohort analyses, defining and tracking performance metrics, creating self-serve dashboards (Tableau/Sigma/Metabase), and collaborating with engineering and product teams to scale models into production. Role is remote-first with candidates in UK, Germany, Ireland, Spain, Poland, Bulgaria, and Lithuania eligible.

Lead a team (~7) of data scientists in Product Analytics to inform product strategy, design experiments, deliver timely accurate analysis, build accessible data products with Experiment Platform & Data Engineering, mentor staff, and collaborate with product teams. Role is remote with candidates required to be within UTC+1 to UTC-8 and available for synchronous meetings 14:00–22:00 UTC; travel for offsites/conferences up to four times per year. Tools mentioned: Hadoop, Hive, Presto, Spark, Superset, Growthbook.

Sardine is hiring a Senior Data Scientist to design, prototype, and productionize machine learning and graph analytics solutions for fraud and risk use cases. The role involves client-facing problem solving, metrics definition, dashboard automation, collaboration with engineering to scale models, and requires 7+ years of relevant data science or quantitative experience with strong Python/R and SQL skills.

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.