Join CrowdStrike's Office of Adversary Strategy to analyze large volumes of security event data, build dashboards and reporting workflows, and develop KPIs. The role involves querying and transforming high-velocity datasets and collaborating with product and engineering teams using tools such as SQL, Python/R, Logscale, and visualization platforms; requires 3-5 years of data analysis experience.

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.

Veeva seeks a Data Scientist to design, prototype, and scale advanced analytics solutions for Life Sciences across European markets. Responsibilities include processing and harmonizing healthcare data with Veeva Data Cloud, developing statistical and ML/AI models, building HCP engagement solutions integrated with CRM, collaborating with cross-functional teams, and maintaining documentation. Requires 2+ years in data science/ML roles, strong Python and SQL skills, and experience in advanced analytics; total compensation listed as 48,000–75,000 EUR.

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.

Veeva is hiring a Medical Specialist for Link Medical Insights to perform rule-based curation and tagging of medical notes, act on customer data requests, and work on data operations projects with analysts and quality-control teams. Requires a university degree in medicine/life sciences (or equivalent), experience in the life sciences industry, strong English communication, and the ability to work remotely from within Spain. Total compensation range listed: 28,000–38,000 EUR per year.

Veeva seeks an Associate Lead for OpenData based in Barcelona (Work Anywhere). The role leads a remote team of 30+ researchers producing global healthcare reference data, responsible for team efficiency and quality, designing production processes, executing process and technology improvements, and owning KPIs. Requirements include experience in business process management, leadership potential, strong spreadsheet skills, and adaptability in international/remote settings. Total compensation listed: 28,000–40,000 EUR per year.

Veeva is hiring a Data Product Manager for OpenData Europe to own product planning, data strategy, and cross-functional delivery (data engineers, analysts, product operations). Role requires 2+ years in data analytics or product management, strong SQL skills, English fluency (C1), and ~10% travel. Total compensation range: 60,000–100,000 EUR.

Veeva is hiring a Senior Data Analyst to develop and implement a data governance framework, create automated data quality checks, extract and analyze large datasets (e.g., Redshift, MongoDB), and build dashboards with actionable recommendations. The role requires 5+ years in data analysis or data quality, proficiency in SQL and Python, experience with cloud platforms (AWS/GCP/Azure), and strong documentation and cross-functional collaboration skills. Position is based in Barcelona, Spain; total compensation range advertised is 50,000–70,000 EUR.

Join Veeva's Link and OpenData team to simplify and document curation processes, increase automation in tools (sheets, reports, dashboards), manage change projects with 10+ teams, and upskill staff on process excellence. The role requires 3+ years of experience, strong conceptual and hands-on skills, effective stakeholder communication, and excellent written and verbal English; SQL/Python and prior operations or data-product experience are listed as nice-to-have.

Veeva's Master Class recruits early-career candidates to become Business Consultants focused on Life Sciences analytics. Participants will support customer engagements (communications, workshops, interviews, data analysis), leverage Veeva's Data Cloud, and help create operational and analytic business solutions. Candidates should have 3-5 years' relevant experience or an advanced degree, strong communication and analytical skills, basic SQL/Python knowledge, willingness to travel up to 20% per year, and legal authorization to work in the EU. Work Anywhere (remote or office) policy. Starting salary listed as 52,000 EUR/year.

Lead a Data Operations team for Veeva Link (based in Barcelona, Work Anywhere). Responsibilities include ensuring high-quality data curation, identifying and implementing process improvements, guiding Data Analysts on data quality, analyzing team performance, and collaborating with Product, Data Engineering, and Data Science. Requires extensive people leadership (5+ years), strong spreadsheet skills (pivot tables, nested formulas), and data-driven decision-making. Total compensation listed: 50,000–70,000 EUR.

Lead a team of 6–8 analysts to configure crawlers, extract website data, deliver processed data to the data platform (Python configuration scripts), and produce ad-hoc and visual reports. Requires 3+ years leading a technical team, experience building scalable crawlers, and strong practices such as version control and code reviews. Total compensation listed: 80,000–150,000 EUR.

Veeva OpenData seeks an Analytics Engineer (remote, based in Spain/Barcelona) to create and maintain scalable crawlers, ingest and model data, implement data quality and observability, and deliver ad-hoc and regular reports. Requires 4+ years using SQL as a data analyst and 4+ years using Python as an analytic/analytics engineer. Familiarity with tools such as Redshift, dbt, Polars, Mozenda or Zyte is a plus.

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.