Senior Data Scientist in Strategic Finance managing simulation models for Relay's rapidly growing logistics network. Collaborating with finance teams to provide dynamic data - driven insights and improve decision - making.
About the role
- Data Manager leading data management activities for clinical trials at ClinChoice. Ensuring deliverables meet timelines and quality while collaborating with cross-functional teams.
Responsibilities
- Lead Data management activities and ensure study deliverables meet timelines and quality standards.
- Review of Clinical research documents (e.g. protocols, Case Report Forms).
- Create and review electronic Case Report Form (eCRF) specifications.
- Develop critical DM documents such as the Data Management Plan, Data Validation Plan, eCRF Completion Guidelines, Data Entry Guidelines and Data Review Plan.
- Develop edit rules/checks, query logic and query messages.
- Develop User Acceptance Testing Plan and perform testing on data entry screens and edit checks.
- Create and provide training to the clinical team and sites.
- Perform ongoing data review/reconciliation activities and provide metrics and patient trackers to monitor data clean up.
- Perform database lock/unlock and freeze/unfreeze activities as appropriate for statistical review, interim analysis, and final database lock.
- Coordinate the archiving of study databases and related documents
- Create Data Transfer Specifications and perform external vendor reconciliation.
- Perform SAE reconciliation.
- Work to maintain/improve client satisfaction by ensuring high quality service, communication and management of clinical data.
Requirements
- Bachelor’s degree in clinical/pharmacy biological/mathematical sciences or related field or nursing degree.
- Atleast 3 years data management and/or related work experience in a pharmaceutical industry.
- Working knowledge of Clinical research and clinical trial process and related regulatory requirement and terminology.
- Strong knowledge and experience in several Electronic Data capture systems such as Medidata Rave, Oracle InForm, OpenClinica and Medrio.
- Perform duties in compliance with SOPs, GCP and ICH guidelines.
- Ability to prioritize and to adapt quickly in fast-paced and changing industry conditions.
- Ability to lead a study or data management team independently.
- Proactively drive quality and efficiently to meet timelines and milestones to deliver high quality data management deliverables.
- Excellent verbal and written communication skills.
- Proficient in the use of Microsoft office(Outlook, word, excel, powerpoint, etc)
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist enhancing AI model accuracy and confidence for solutions addressing food waste. Collaborating with a dynamic team in a hybrid environment in Cluj - Napoca, Romania.
Senior Data Scientist focusing on industrial AI, responsible for project implementation and supporting the data science team with scalable solutions. Join a hybrid team in Vienna.
Data Scientist protecting Spotify from user fraud by detecting and preventing fake account creation and artificial streaming activity. Join the User Fraud R&D Studio in a cross - functional team.
Data Scientist developing analytical solutions and leading projects for CRH Talento en IT. Collaborating with cross - functional teams and delivering advanced analytics from proposal to production.
Environmental Data Scientist at GES managing environmental databases and groundwater modeling in contaminated projects. Collaborating with cross - functional teams for project data integration.
Data Scientist developing AI - powered mobile applications at AppNation. Ensure data flow and infrastructure management in a fast - paced mobile tech environment.
Data Scientist at Capital One leading fraud detection strategy and collaborating with cross - functional teams. Utilizing technologies to build models and enhance fraud protection.
Senior Data Scientist developing predictive models and collaborating with business teams in insurance. Engaging in model development phases and communicating insights with various stakeholders.
Director of Product Data Science responsible for building and leading teams in data - driven product decision - making at Salesforce. Partnering with cross - functional teams to ensure data science informs product strategies.