Qureos Mentor

Allucent

<div>
 
 The Senior / Principal Data Engineer will design, develop, and maintain scalable data platform and analytics solutions across data lakes and operational databases. This role requires hands-on expertise in Azure Databricks, Azure SQL, Python/PySpark, Notebooks, with a strong understanding of data modeling, ETL/ELT best practices, and CI/CD automation in Azure DevOps. The ideal candidate will have a proven record of building robust, efficient, and secure data pipelines that enable analytics, reporting, and AI/ML solutions, preferably in life sciences, clinical research, or healthcare domains.&nbsp;
 
 
 
 
 Requirements
 
 
 
 
 
 Data Architecture &amp; Engineering&nbsp;
 
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 Design and implement end-to-end data pipelines using Azure Databricks, Azure Data Factory, and ADLS Gen2.&nbsp;
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 Build scalable and performant data models for data lakes (Medallion architecture), data warehouses, and operational systems.&nbsp;
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 Develop ELT/ETL frameworks for ingestion from APIs, relational sources, flat files, and third-party systems (e.g., Dynamics 365, Veeva, EDC).&nbsp;
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 Optimize data transformations, partitioning, and delta lake performance for analytics workloads.&nbsp;
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 Data Integration &amp; Automation&nbsp;&nbsp;
 
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 Leverage Python and PySpark for data ingestion, cleansing, enrichment, and advanced transformations.&nbsp;
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 Implement CI/CD pipelines for data workflows using Azure DevOps and Git, including automated testing, deployment, and monitoring.&nbsp;
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 Develop and integrate RESTful APIs for cross-system data exchange and automation.&nbsp;
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 Analytics Enablement&nbsp;
 
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 Collaborate with the BI team to ensure clean, high-quality, and accessible data for the Power BI platform.&nbsp;
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 Support semantic modeling, metric layer design, and data governance best practices.&nbsp;
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 Enable advanced analytics by provisioning data for ML/AI initiatives and predictive insights.&nbsp;
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 Cross Functional Collaboration&nbsp;
 
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 Collaborate with product/system owners, analysts, and business stakeholders to translate analytical requirements into technical data solutions.&nbsp;
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 Drive best practices in Agile development, version control, and DevOps workflows.&nbsp;
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 &nbsp;
 
 
 Education Requirements and Qualifications&nbsp;
 
 
 
 Qualifications&nbsp;&nbsp;
 
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 Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred).&nbsp;&nbsp;
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 Minimum 5-8 years of relevant experience building and maintaining data solutions (data lakes, data warehouses, operational databases).&nbsp;&nbsp;
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 Expert-level proficiency in Azure Databricks, PySpark, SQL, and Azure DevOps.&nbsp;
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 Proven experience with Azure Data Factory, ADLS Gen2, and Azure SQL Server.&nbsp;
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 Working knowledge of CI/CD automation, version control (Git), and infrastructure as code (ARM or Terraform).&nbsp;
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 Experience with Power BI or similar analytics platforms (Tableau, Looker) required; experience with Snowflake, Redshift, or Synapse Analytics is a plus.&nbsp;
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 Strong analytical, debugging, and performance-tuning skills.&nbsp;
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 Experience in life sciences or healthcare industries is a strong plus.&nbsp;
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 Skills&nbsp;
 
 
 Core expertise: Expert-level in Databricks, PySpark, SQL, and Azure DevOps&nbsp;
 
 
 Data engineering: Data modeling, Delta Lake optimization, ETL/ELT design, distributed processing.&nbsp;
 
 
 Integration &amp; Automation: Azure Data Factory, REST APIs, CI/CD pipelines, Git branching strategies.&nbsp;
 
 
 Analytics &amp; BI: Power BI (Tableau), semantic layer design, DAX/SQL tuning.&nbsp;
 
 
 Cloud &amp; DevOps: Azure ecosystem (ADF, ADLS, Azure SQL, Synapse), Infrastructure as Code&nbsp;
 
 
 Data Governance &amp; Quality: Metadata management, data validation frameworks, logging and monitoring.&nbsp;
 
 
 Soft skills: Good communication, mentoring, Agile teamwork, analytical thinking, collaboration.&nbsp;
 
 
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</div>

Data Developer

<div>The Project Data Manager (PDM) leads and oversees data management activities, timelines and finances of the Allucent Data Management (DM) department.
This position manages and coordinates DM deliverables from database design &amp; set-up, through cleaning and reporting to database locking, ensuring that the completeness, accuracy and consistency of clinical data meets the quality standards and regulatory requirements for analysis and reporting.
This position acts as a Project Manager and is responsible for the overall coordination and management of Data Management/Biostats standalone projects, large and complex trials and/or multiple projects belonging to one client.
This position oversees day-to-day operations and coordinates planning and operational activities of assigned junior team members, like, CDM1, CDM2 and CDM3 and their assigned projects.
The PDM is a member of the Data Management staff.
Requirements<ul><li>Lead and serve as primary contact for DM with all relevant parties both internally (e.g. Biostatistics and if applicable other functional groups, such as Project Management, Clinical Operations) and externally (e.g. sponsors, vendors (EDC, external data), investigational sites)</li></ul> 
As a Project Manager for Biometrics stand-alone studies, the Project Data Manager will: 
 
<ul><li>Lead and coordinate the Biometrics project team, ensuring the project is delivered according to planned scope and timelines in accordance with the contract</li><li>Create and execute project management plans required for project delivery and in accordance with established processes</li><li>Establish requirements for and ensure project-specific training plan for internal team members</li><li>Establish clear communication lines and escalation pathways, communicate with project stakeholders, both internally (e.g. Clinical Programmers, Data Scientists, Biostatistics and other functional groups) and externally (e.g. sponsors, vendors (EDC, external data) and other external parties)
</li><li>Establish requirements for and ensures project-specific training plan for internal team members</li></ul>
<ul><li>Lead and serve as primary contact for DM with all relevant parties both internally (e.g. Biostatistics and if applicable other functional groups, such as Project Management, Clinical Operations) and externally (e.g. sponsors, vendors (EDC, external data), investigational sites)</li></ul> 
As a Project Manager for Biometrics stand-alone studies, the Project Data Manager will: 
 
<ul><li>Lead and coordinate the Biometrics project team, ensuring the project is delivered according to planned scope and timelines in accordance with the contract</li></ul>
<ul><li>Create and execute project management plans required for project delivery and in accordance with established processes</li></ul>
<ul><li>Establish requirements for and ensure project-specific training plan for internal team members</li></ul>
<ul><li>Establish clear communication lines and escalation pathways, communicate with project stakeholders, both internally (e.g. Clinical Programmers, Data Scientists, Biostatistics and other functional groups) and externally (e.g. sponsors, vendors (EDC, external data) and other external parties)
</li></ul><ul><li>Establish requirements for and ensures project-specific training plan for internal team members</li></ul>
<ul><li>Establish project risk management plan with input from client and functional stakeholders and oversee adherence and updates throughout the project lifecycle</li></ul>
<ul><li>Lead internal meetings with internal team members and external meetings with a sponsor, and third party (data) vendors, including Kick Off Meetings (KOM) and Investigator Meetings based on project scope</li></ul>
<ul><li>Provide support for vendor identification, qualification and selection and manage vendors</li></ul>
<ul><li>Manage vendors and vendor relationships as required for project delivery</li></ul>
<ul><li>Arrange, maintain and circulate project progress and status reports</li></ul> 
In addition, as a Project Manager for Biometrics stand-alone studies and/or large, complex or multiple studies with same client, the Project Data Manager will: 
 
<ul><li>Lead the Biometrics project team, ensuring the project is delivered according to planned scope and timelines in accordance with the contract</li></ul>
<ul><li>Ensure overall consistency across all client studies within a set of projects; this especially relates to the DM activities; Data Management Plan (DMP), CRF design, data cleaning and query management) and for Biometrics stand-alone projects also include statistical deliverables (SAP, TLFs)</li></ul>
<ul><li>Lead internal meetings with internal project team members. Support and participate in external meetings with a sponsor, including Kick Off Meetings (KOM) and Investigator Meetings based on project scope</li></ul>
<ul><li>Interact, negotiate and influence internal and external team members in a professional manner and with successful outcomes</li></ul>
<ul><li>Ensure effective and efficient resource utilization across projects and programs</li></ul>
<ul><li>Manage the study budget, evaluate financial project health and manage monthly status updates for invoicing. Participate in monthly project review meetings</li></ul>
<ul><li>Proactively recognize and address any changes in scope. Liaise to execute contract amendments</li></ul>
<ul><li>Oversee Sponsor relationships</li></ul>
<ul><li>Assist in contracts negotiation and contracting process with vendors (EDC, IRT)
</li></ul><ul><li>May support operational Data Management activities, also to ensure and assess quality</li></ul>
<ul><li>Oversee and ensure the Trial Master File for DM services in scope is kept up to date and audit/inspection ready.</li></ul>
<ul><li>Contribute to other areas of business as required</li></ul>
<ul><li>Research, propose and lead initiatives for improving efficiency</li><li>Manage direct reporting staff, perform performance reviews and support team member personal development plans</li><li>Oversee and supervise work done by junior team members (CDM1 level &ndash; CDM3 level)</li><li>Actively support to staff learning &amp; development within the company</li><li>Share relevant information at applicable DM departmental meetings and organize and lead DM-related meetings and discussions</li><li>Represent the company through active participation at professional meetings, webinars or seminars</li><li>Provide and coordinate Data Management training for relevant staff. Support in development of new training material
</li><li>Train and mentor data management staff, support in development of new training material and provide training to relevant staff</li><li>Participate in the interview process for new recruits</li><li>Proactively track Data Management related regulatory development trends and updates, in consultation with department Global Head and/or Senior Directors, for further alignment and improvement of current processes</li></ul>
Quality Management
<ul><li>Contribute as Clinical Data Management Subject Matter Expert (SME) to the evaluation/improvement/drafting of processes and procedures within the Quality Management System</li></ul> 
Account Management, Sales &amp; Acquisition
<ul><li>Assure good communication and relationships with (future) clients</li></ul>
<ul><li>Contribute to and take part in client evaluations and visits</li></ul>
<ul><li>Support in preparation of new proposals and budgets for Data Management services</li></ul>
<ul><li>Support Business Development (BD) in preparing and providing presentations to potential and existing clients through attendance at capabilities and/or bid defense meetings</li></ul>
<ul><li>Provide input into tools and templates to support costing and bidding</li></ul> 
Others
<ul><li>Contribute to other areas of business as required</li></ul>
<ul><li>10% Travel</li></ul>
Education Requirements and Qualifications
Qualifications
<ul><li>Life science, healthcare degree and/or combination of education and experience</li></ul>
<ul><li>Minimum 8 years of relevant work experience in Clinical Data Management or related experience within Biometrics
</li></ul><ul><li>Minimum 8 years of relevant experience in related clinical trials environment</li></ul>
<ul><li>Thorough knowledge and understanding of ICH-GCP, 21CFR11 data privacy (GDPR/HIPPA) guidelines and awareness of local/regional requirements</li></ul>
<ul><li>Good understanding of Medical Terminology</li></ul>
<ul><li>Experience as DM Lead on several studies and experience in covering all phases of a clinical study (start up, conduct and database lock). Worked on multiple indications and clinical phases (I-IV)</li></ul>
<ul><li>Thorough understanding of relational database components and experience in technical data management practices (validation plans, testing, and documentation</li></ul>
<ul><li>Experienced in CDISC conventions, i.e., CDASH, TAUG models and hands on experience implementing these models</li></ul>
<ul><li>Client management experience</li></ul>
<ul><li>Experience in developing data management standards</li></ul>
Skills
<ul><li>Strong written and verbal communication skills including good command of English language
</li></ul><ul><li>Representative, outgoing and client focused
</li></ul><ul><li>Ability to work in a fast-paced challenging environment of a growing company</li></ul>
<ul><li>Proficiency with various computer applications such as Word, Excel, and PowerPoint required</li></ul>
<ul><li>Administrative excellence
</li></ul><ul><li>Attention to detail, strong technical, analytical and problem-solving skills</li></ul>
<ul><li>Strong project management skills</li></ul>
<ul><li>Ability to translate guidelines, rules and regulations in clear and usable recommendations</li></ul>
<ul><li>Ability to simplify complex issues into understandable concepts</li></ul>
<ul><li>Excellent organizational, negotiating and motivational skills</li></ul> 
Benefits
Benefits of working at Allucent include:<ul>
<li>Comprehensive benefits package per location</li>
<li>Competitive salaries per location
</li><li>Departmental Study/Training Budget for furthering professional development
</li><li>Flexible Working hours (within reason)
</li><li>Leadership and mentoring opportunities
</li><li>Participation in our enriching Buddy Program as a new or existing employee</li>
<li>Internal growth opportunities and career progression
</li><li>Financially rewarding internal employee referral program
</li><li>Access to online soft-skills and technical training via GoodHabitz and internal platforms</li>
<li>Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects
</li><li>Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees</li>
</ul>Disclaimers:
&ldquo;The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively &ldquo;Allucent&rdquo;). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.&rdquo;</div>

Project Data Manager

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Allucent

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Data Developer

Project Data Manager