Data Scientist

• Responsible and manages all aspects of the clinical trial data management process from study start up to post database lock for assigned projects
• Primary Data Management (DM) contact (Lead DM role) for assigned clinical project(s) / program(s)
• Oversee project data entry process including development of data entry guidelines, training, data entry quality and resourcing
• May perform quality control of data entry
• Provide input, assess and manage timelines
• May develop CRF specifications from the clinical study protocol
• Conduct database build UAT and maintain quality controlled database build documentation
• Responsible for creating, revising, appropriate versioning and maintaining data management documentation
• Train clinical research personnel on the study specific CRF, EDC, and other project related items as needed
• Review and query clinical trial data according to the Data Management Plan
• Perform line listing data review based on the guidance provided by the sponsor and/or Lead DM
• Run patient and study level status and metric reporting
• Perform medical coding of medical terms relative to each other in order to ensure medical logic and consistency
• Coordinate SAE/AE reconciliation
• Liaise with third-party vendors such as external data and EDC vendors
• Identify and troubleshoot operational problems, issues, obstacles, and barriers for studies
• Participate in the development and maintenance of Standard Operating Procedures (SOPs) and corresponding process documentation related to data management and database management activities
• Communicate with study sponsors, vendors and project teams as needed regarding data, database or other relevant project issues

Senior Clinical Data Manager

• The Clinical Data Manager II/Senior Clinical Data Manager is responsible and manages all aspects of the clinical trial data management process from study start up to post database lock for assigned projects
• Primary Data Management (DM) contact (Lead DM role) for assigned clinical project(s) / program(s), ensuring that there is back-up, continuity, responsiveness, and that tasks are performed in a timely manner
• Oversee project data entry process including development of data entry guidelines, training, data entry quality and resourcing
• May perform quality control of data entry
• Provide input, assesses and manage timelines. Ensure that clinical data management deadlines are met with quality
• Assess resource needs for assigned projects, as needed
• May develop CRF specifications from the clinical study protocol and coordinate the review/feedback from all stakeholders
• Conduct database build UAT and maintain quality controlled database build documentation
• Oversee overall quality of the clinical database
• May specify requirements for all edit check types e.g. electronic, manual data review, edit checks, etc
• Oversee development of the edit check specifications and manual data review specifications
• Responsible for creating, revising, appropriate versioning and maintaining data management documentation
• Oversee completeness of data management documentation for the Trial Master File
• Train clinical research personnel on the study specific CRF, EDC, and other project related items as needed
• Review and query clinical trial data according to the Data Management Plan
• Perform line listing data review based on the guidance provided by the sponsor and/or Lead DM
• Run patient and study level status and metric reporting
• Perform medical coding of medical terms relative to each other in order to ensure medical logic and consistency
• Coordinate SAE/AE reconciliation
• Liaises with third-party vendors such as external data and EDC vendors in a project manager capacity in support of timelines and data-related deliverables
• May assist with SAS programming and quality control of SAS programs used in the Data Management department
• Identify and troubleshoot operational problems, issues, obstacles, and barriers for studies based on metrics data, audit reports, and input from project team members and other stakeholders
• May assist in reviewing and providing feedback on protocols, Statistical Analysis Plans (SAP) and Clinical Study Reports (CSRs), if required by the project
• Participate in the development and maintenance of Standard Operating Procedures (SOPs) and corresponding process documentation related to data management and database management activities
• May attend strategy meetings, bid defense prep meetings, bid defenses, capability presentations, potential client engagement meetings
• May review Request for Proposals (RFP), proposals, provide project estimates
• Provide leadership for cross-functional and organization-wide initiatives, where applicable
• Trains and ensures that all data management project team members have been sufficiently trained
• Communicate with study sponsors, vendors and project teams as needed regarding data, database or other relevant project issues
• May present software demonstrations/trainings, department/company training sessions, present at project meetings
• Perform other duties as assigned

Clinical Data Manager II/Senior Clinical Data Manager

• Apply machine learning, deep learning, and computer vision techniques to identity document analysis, authentication, and fraud detection
• Design & implement document-based algorithms for use in digital onboarding & identity authentication solutions
• Create solutions to perform identity document authentication, detect tampered documents, & prevent document fraud
• Develop identity document processing algorithms using foundation models or traditional machine learning, image processing & computer vision depending on deployment constraints
• Prototype proof-of-concepts, then develop them into full production-ready solutions
• Collaborate with engineering, product, and support teams to deploy algorithms into production and manage long-term improvements
• Develop algorithm components for cloud, server, and mobile deployment environments
• Test, evaluate, and configure identity document processing and analysis solutions

Data Scientist, Computer Vision

• Define how data and analytics supports growth, product development, commercial performance, and operations.
• Lead a team of analysts embedded across product squads and business functions.
• Scale practical AI use cases: natural-language data access, AI-assisted insight generation, anomaly detection, automated reporting, and productivity tooling for analysts and stakeholders.
• Strengthen Novakid's experimentation culture — making it faster and easier to design, launch, measure, and learn from experiments without heavy analyst involvement at every step.
• Build a structured, high-impact data science capability spanning ML for business use cases, forecasting, experimentation support, AI-powered product features, and research for new learning experiences.
• Drive clearer KPI ownership, stronger documentation, and a trusted semantic layer across Product, Growth, Sales, Marketing, and Finance — reducing ambiguity and conflicting interpretations.

Head of Data and Analytics

• Define and build predictive models from scratch, starting with:
• Work with raw trading, transactional, and behavioral data from our data warehouse
• Define target variables and operationalize business concepts (e.g., what constitutes "churn" in a brokerage context) into measurable ML targets
• Engineer features from client activity, trading patterns, market conditions, and engagement signals
• Select, train, validate, and iterate on models — starting simple, increasing complexity where it earns its keep
• Design monitoring for model performance, data drift, and degradation over time
• Deliver daily client-level scores that integrate into CRM workflows and sales processes
• Translate model outputs into actionable insights for non-technical sales managers
• Work with sales leadership to design interventions around model predictions
• Present results, assumptions, limitations, and recommendations to senior stakeholders

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Senior Clinical Data Manager

Clinical Data Manager II/Senior Clinical Data Manager

Data Scientist, Computer Vision

Head of Data and Analytics

Data Scientist