Clinical Data Manager – FSP
Location
Poland
Posted
1 day ago
Salary
zł165K - zł207.5K / year
Seniority
Senior
Job Description
Clinical Data Manager – FSP
Parexel
• Lead a small clinical study or co-lead a larger study or studies with moderate guidance. • Be able to support several clinical studies with minimal guidance. • Manage and monitor the progress of data management activities with CROs or other vendors on assigned studies. • Review protocols for appropriate data capture including electronic Case Report Form (eCRF) design. • Be able to perform a thoroughly detailed review of eCRF data requirements. • Interact with CRAs, programmers, study managers and statisticians in designing eCRFs and creating the annotated eCRF and CRF completion guidelines. • Develop data edit check specifications and run data listings as required. • Coordinate the design and testing of Electronic Data Capture (EDC) systems according to company standards. • Able to resolve EDC system issues with team members. • Develop the Data Management Plan for a clinical study. • Able to review and provide feedback to the clinical team on other study documents e.g. Clinical Monitoring plans, Statistical analysis plans and vendor specifications. • Enter data queries into the EDC system to be resolved at investigational sites and manage the resolution of those queries. • Perform reconciliation of header data from external data sources against the clinical database. • Perform Serious Adverse Event reconciliation activities according to SOPs and guidelines. • Assist in database upgrades/migrations including performing User Acceptance Testing. • Able to maintain study workbooks and data management files. • Perform database lock and freeze activities per company SOPs. • Participate in regular team meetings and provide input when appropriate. • Provide input into the development of data management SOPs, Work Instructions, and process documents. • Assist with the training of new employees and/or contractors. • Collaborates with cross-functional teams to design and implement effective data collection strategies, ensuring high-quality data capture and timely resolution of data queries throughout the clinical trial lifecycle.
Job Requirements
- Bachelor’s Degree required (master’s preferred), preferably in the scientific/healthcare field.
- At least five years’ experience in Data Management for the pharmaceutical/biotechnology industry.
- Understanding of the scope and focus of Phase I – IV clinical studies, and a proven ability to perform some of the core Data Management tasks and interact with vendors.
- An understanding of regulatory guidelines and industry standards (e.g., ICH/FDA guidance, CDISC standards, GCDMP, 21 CFR 11, MedDRA, WHO Drug Dictionaries, etc.) and their application to Data Management practice.
- Attention to detail and the ability to work individually, within a multi-disciplinary team, as well as with external partners and vendors.
- Detail-oriented with a proven ability to multitask and work independently.
- Excellent time management and organizational skills, with highly developed problem-solving and analytical abilities.
- Strong English language written and verbal communication skills.
- Able to travel to meetings or training seminars on occasion.
Benefits
- Annual performance-based bonus plan
- Annual salary review
- Total rewards incentives
Related Guides
Related Categories
Related Job Pages
More Data Scientist Jobs
• Strategic Influence: Shape Mozilla's most important business decisions with rigorous, data-driven insights. Turn ambiguity into clear recommendations that influence executive thinking and long-term strategy. • Trusted Partnerships: Build trusted relationships with senior leaders and cross-functional partners. Surface tradeoffs, align stakeholders with differing perspectives, and help teams make better, faster decisions. • Technical Excellence: Design and deliver sophisticated analytical solutions to solve complex, ambiguous problems involving large-scale, high-dimensional data. Set a high technical bar through sound methodology, statistical rigor, and pragmatic execution. • Mentorship and Growth: Serve as a technical leader within the Data Science community. Mentor data scientists, advise managers on technical direction, and elevate the quality of analytical work across the organization.
• Strategic Influence: Shape Mozilla's most important business decisions with rigorous, data-driven insights. Turn ambiguity into clear recommendations that influence executive thinking and long-term strategy. • Trusted Partnerships: Build trusted relationships with senior leaders and cross-functional partners. Surface tradeoffs, align stakeholders with differing perspectives, and help teams make better, faster decisions. • Technical Excellence: Design and deliver sophisticated analytical solutions to solve complex, ambiguous problems involving large-scale, high-dimensional data. Set a high technical bar through sound methodology, statistical rigor, and pragmatic execution. • Mentorship and Growth: Serve as a technical leader within the Data Science community. Mentor data scientists, advise managers on technical direction, and elevate the quality of analytical work across the organization.
Senior Data Science and Analytics Analyst
Publicis Groupe Holdings B.VHi there! We’re Razorfish. We’ve been leading the marketing industry with our digital expertise since the start of the internet. But in 2020, we did a full reboot. What’s different? It all starts with people. Weird, wonderful, complex people - with diverse backgrounds in strategy, creative and technology. But no matter how different we are, we all have one thing in common. We believe our differences are our strength. So we push for inclusion, challenge convention and bring in new perspectives, to inspire new ideas. Because when we connect by understanding what makes people different, we can create unforgettable experiences that enrich lives. Join us at razorfish.com.
Role Description We are seeking a highly analytical and detail-oriented Senior Analyst to support media analytics and measurement across campaigns. This role is responsible for transforming data into clear, actionable insights that inform campaign optimization and support future planning. The Senior Analyst partners with media, strategy, and analytics teams to ensure data is accurate, insights are relevant, and outputs are polished and decision-ready—with a focus on enabling faster, smarter media decisions. Responsibilities - Analyze cross-channel media performance and deliver insights to support campaign optimization and planning - Translate data into clear findings and actionable recommendations - Support development and execution of measurement frameworks and learning agendas - Conduct audience, competitive, and performance analysis to inform strategy - Partner with media teams to identify in-flight optimization opportunities - Build and maintain dashboards and reports that are intuitive and decision-ready - Support data automation and pipeline development (e.g., GCP, Funnel.io) - Ensure data accuracy, consistency, and quality across outputs - Contribute to presentations with data-driven storytelling, not just data reporting Core Capabilities (Strategy, Analytics & Tools) - Applies measurement frameworks to analyze media performance and audience behavior - Identifies performance drivers, trends, and optimization opportunities - Synthesizes data across sources into clear, actionable insights - Uses tools (CM360, Meta, Adobe/GA4, Tableau/Looker, Funnel.io) to analyze and visualize data effectively - Supports automation efforts to reduce manual reporting and improve efficiency - Applies analytical thinking to answer business and campaign performance questions - Maintains strong data quality, organization, and taxonomy standards Communication & Collaboration - Translates data into clear, concise insights and recommendations - Contributes to client and internal discussions with fact-based, insight-driven input - Supports development of polished presentations and reporting outputs - Partners with cross-functional teams to ensure alignment on performance and insights - Continuously improves deliverables to move from reporting toward insight-driven storytelling Qualifications - 3–5+ years of experience in media analytics, marketing analytics, or data analysis - Strong understanding of paid media metrics, performance drivers, and campaign structure - Experience translating data into insights and actionable recommendations - Familiarity with measurement frameworks and performance analysis approaches - Proficiency in analytics and visualization tools (e.g., Adobe Analytics, GA4, Tableau, Looker) - Experience with data tools or automation (e.g., Excel, SQL, Funnel.io, or similar) - Strong attention to detail and ability to deliver accurate, high-quality outputs - Effective communication skills with ability to present insights clearly and concisely Benefits - Paid Family Care for parents and caregivers for 12 weeks or more - Monetary assistance and support for Adoption, Surrogacy and Fertility - Monetary assistance and support for pet adoption - Employee Assistance Programs and Health/Wellness/Comfort reimbursements - Tuition Assistance - Paid time off that includes Flexible Time off, Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more - Matching Gifts programs - Flexible working arrangements - ‘Work Your World’ Program encouraging employees to work from anywhere - Business Resource Groups that support multiple affinities and alliances
SR. DATA SCIENCE ENGINEER SPEC-DATA SCIENTIST
Concurrent Technologies CorporationGoing above and beyond to create innovative, full lifecycle solutions. We make the world safer and more productive.
Role Description As a Sr. Data Science Engineer Spec-Data Scientist, you'll be part of the internal Information Technology team that keeps CTC's business operations running efficiently. Supporting employees across the organization, you'll contribute to a collaborative, customer-focused environment where technology enables engineers, researchers, and business professionals to accomplish their mission. - Collaborate with business leaders to identify high-impact business problems and translate them into data science and data analysis projects. - Collect, process, and analyze complex datasets from various sources to identify trends, patterns, and insights that inform business strategy. - Develop and implement predictive models and machine learning algorithms to solve business problems, such as forecasting, customer segmentation, and optimization. - Develop and maintain detailed, compelling dashboards and reports for both technical and non-technical audiences using business intelligence (BI) tools. - Perform exploratory data analysis (EDA) and statistical analysis to uncover patterns, trends, and anomalies. - Create clear, compelling, and actionable data visualizations and reports to communicate complex findings to both technical and non-technical audiences. - Design and execute A/B tests and other experiments to measure the impact of different initiatives. - Work with data engineers to build and improve data pipelines, ensuring data quality and accessibility. Qualifications - Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics. - 3–5 years of hands-on experience in a Data Scientist or Senior Data Analyst role. - Strong proficiency in Python (including libraries like Pandas, NumPy, and Scikit-learn), SQL, and PySpark. - Solid understanding of statistical analysis, data mining techniques, and machine learning algorithms (e.g., classification, regression, clustering, and decision trees). - Excellent verbal and written communication skills with the ability to tell a story with data. - Proven ability to approach complex problems with a structured, analytical, and inquisitive mindset. Requirements - Experience with cloud-based data platforms (e.g., AWS, Azure, GCP). - Experience with big data technologies (e.g., Spark, Hadoop). - Experience with data visualization and analysis tools (e.g., Tableau, Power BI, Matplotlib, R, SAS). - Experience with natural language processing (NLP) or other forms of text analysis. - Knowledge of experimental design and causal inference techniques. - Experience in research & development, government contracting, and/or highly regulated industry domains. Benefits - Competitive salary and benefits package. - Recognition for quality work. - Exceptional career growth and educational opportunities. - Work-life balance is valued and supported.


