1,080 Clinical Monitoring jobs in India
Clinical Data
Posted today
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• Utilizes graphs, pivot charts, and other mechanisms as needed.
• Writes SQL queries to efficiently retrieve business data to respond to requests from c-suites, VPs, Directors, and clinical administration.
• Maintain proficiency in data quality management, understanding quality root cause analysis, remediation options analysis, and measuring and communicating team and individual success.
• Ensure integrity of the data pulled from Clinical systems and databases and identifies and resolve issues that arise with these systems.
• Clears EPHR interface data errors daily, including HL7 analysis.
Clinical Data Programming
Posted 9 days ago
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Job Description
Form074230-V1.0, ED:29-Mar-2024
**Job Role Name**
Clinical Database Programmer (CDP)
**Department Name**
Global Clinical Data Management (GCDM)
**Job Purpose**
+ The incumbent manages Clinical Data Programming to ensure timely creation, validation, testing, implementation and maintenance of databases required across all assigned projects.
+ Analyzes study protocol and project requirement(s), identifies data quality rules, and design data entry interfaces in accordance to the study Protocol, DMP, SOP and all applicable regulatory requirements and standards.
**Key Roles and Responsibilities**
+ Deploy complete, accurate and efficient clinical study database(s) for the purpose **of Data Management and Data processing.**
+ Support and ensure the preparation, transfer and integration of clinical data from internal and external sources into the clinical study database. Provide clinical study data in various formats and applications to all critical project stake holders, as required.
+ Ensure high quality deliverables, good cooperation with internal and external project stake holders and active participation in project teams to develop and maintain programs to meet project standards.
+ Responsible for data exchange with external project stake holders, for example, third party vendors (Labs, ECG, etc.) and Safety / Independent Data Monitoring Committees, as required.
+ Provide ongoing day to day end-user support to the project team(s) to ensure all systems and programs are executing correct and efficiently.
+ Setup and support of data review and reporting tools required by DM stakeholders SAS programmers, Clinical, Medical, Pharmacovigilance and Regulatory Affairs and where required by the Study Management Team.
+ Provide technical expertise and programming support for projects and data management staff.
+ Communicate project status and key project issues to DM Management.
+ Assist in developing new Data Systems programming procedures and processes.
+ Keeps current with technological advances and coordinates activities with Global Training and Information Technology Team in an effort to maximize their potential use in managing data.
+ Provide mentoring and training of other while assist in work delegation.
+ Supports, maintains and utilizes standardization of CRF and eCRF modules, data quality rules, data structures, data libraries, code lists, and dictionaries in conjunction with input from other functional areas and project teams and in accordance with CDISC standards.
+ May take part in evaluating external vendors and technologies as to their ability to perform in accordance to project goals, procedures, and quality standards prior to project scope finalization.
+ Identifies areas of process improvement that may be provided by standardization and/or technology to increase efficiency, quality and timeliness of data management processes and deliverables.
**Qualification, Skill and Competencies Requirements**
+ Preferably a minimum of a **Bachelor's degree** in a Life Science, Nursing, Computer Science or related discipline.
+ Minimum **8-10 years of clinical data programming experience including working knowledge using clinical data programming tools and applications.**
+ Experience of leading clinical programming effort across global clinical studies is preferred.
**Job Location**
Gurugram, HR
**Reporting To**
Clinical Database Programming Lead (CDPL)
We provide equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, military or veteran status, generic predisposing characteristics or any other basis prohibited by law.
Clinical Data Specialist
Posted 9 days ago
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Job Description
Provide comprehensive data management expertise to eCOA Data Management to provide efficient, quality data management products that meet customer needs. Provide support in operational eCOA Data Management activities to the eCOA Data Team Lead (DTL) or operate in a specific eCOA DM task (e.g., lead of a task on a megatrial, data reconciliation and monitoring).
Essential Functions
- Serve as Data Operations Coordinator (DOC) for several global clinical trials or serve in a leadership role to a specific data management task.
- With minimal guidance, serve as back-up for Data Operations Coordinator or Data Team Lead
- Provide specific eCOA or Clinical DM task or technology expertise. Manage delivery of projects through full data management process life-cycle. With minimal guidance, manage project timelines and quality issues, determine resource needs, and identify and justify out-of-scope. Provide comprehensive data management expertise (including all operations tasks ). Perform comprehensive quality control procedures. Independently bring project solutions to the eCOA DM team.
- communicate ideas for process improvement. Assist in developing and implementing new technology. Understand and comply with core operating procedures and working instructions. Meet objectives as assigned. Develop and maintain good communications and working relationships with eCOA DM and project teams. Interact with eCOA DM team members to negotiate timelines and responsibilities."
Qualifications
- Working knowledge of SAS software a plus, but not required.
Bachelor's Degree Clinical, biological or mathematical sciences, or related field, or nursing qualification Req
- 3 years of related experience including clinical trials experience in a function similar to data management. Equivalent combination of education, training and experience.
- Thorough knowledge of the data management process. Knowledge of Medical Terminology, Pharmacology, Anatomy, and/or Physiology. Previous experience and proven competence in managing delivery of project through full data management study life-cycle (of several large phase I or at least 1 medium size Phase III). Comprehensive understanding of clinical drug development process. Excellent organizational, communication, and data management skills (detail oriented). Ability to establish and maintain effective working relationships with coworkers, managers and clients. Thorough knowledge of the data management process. Knowledge of Medical Terminology, Pharmacology, Anatomy, and/or Physiology. Previous experience and proven competence in managing delivery of project through full data management study life-cycle (of several large phase I or at least 1 medium size Phase III). Comprehensive understanding of clinical drug development process. Excellent organizational, communication, and data management skills (detail oriented). Ability to establish and maintain effective working relationships with coworkers, managers and clients.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
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Clinical Data Manager
Posted 4 days ago
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Experience: 5+ yrs
Work Mode: Work from Office
Work Location: Bangalore
LOOKING FOR IMMEDIATE JOINERS ONLY
Job Description - Clinical Data Manager :
OVERVIEW
The Clinical Data Manager (CDM) is an independent role responsible for supporting the study team and developing comprehensive study documentation, designing database specifications, and overseeing validation, maintenance/data cleaning, and closeout activities for clinical trial databases. The CDM is recognized as the platform expert, leveraging cutting-edge tools and technologies to provide continuous data insights and ensure the timely delivery of high-quality results for Sponsors. The CDM has a strong foundation in clinical data management, combined with the agility to adapt as processes evolve towards the integration of clinical data science.
KEY TASKS & RESPONSIBILITIES
• Define project specifications for Data Management services, including Protocol Conversion, Database Build, CRF Design and Data Review and Data Reconciliation tools.
• Understand external data collection, its integration into the clinical trial, and the management and reconciliation processes required to ensure its accuracy and relevance.
• Execute data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables.
• Perform holistic data review and trending analysis via reporting and elluminate® analytics to proactively identify issue, risks and develop mitigation strategies.
• Utilize artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection to enhance the efficiency and quality of trial data.
• Monitor and interpret key performance indicators (KPIs), metrics, dashboards, Clinical Trial Operational Analytics (CTOA), and reports to provide actionable recommendations to study lead(s)/project manager.
• Perform Query Management
• Define specifications and collaborate with technical team on configuration of centralized data management platform, elluminate® Data Central for data cleaning strategy and oversight activities.
• Prepare and maintain data management documentation (e.g., DMP, CCGs, Help Text, DVS) and update throughout trial lifecycle.
• Review and ensure the quality control of team-developed deliverables, covering eCRFs, study documents, program/report specifications, outputs, and elluminate® Data Central with analytics modules. Actively evaluate and contribute to enhance processes to increase efficiency and effectiveness.
• Collaborate and work as a team to ensure the deliverables are completed on time with high quality.
• Ensure compliance with industry quality standards, regulations, guidelines, and procedures.
• Other duties as assigned.
CANDIDATE’S PROFILE:
Education & Experience
• 5+ years’ experience in Clinical Data Management preferred.
• Bachelor’s degree in a health-related field or equivalent experience preferred.
• CCDM Certification preferred.
Professional Skills
• Strong project management experience and project team leadership skills including work planning, work delegation and solving complex problems.
• Strong analytical and strategic thinking skills
• Detail oriented, ability to multitask with strong prioritization, planning and organization skills.
• Excellent collaborative skills
• Demonstrated command of the English language with proficiency in both verbal and written communication
Technical Skills
• Proficiency in Microsoft Office Applications, specifically MS Project and MS Excel
• Knowledge of ICH/GCP guidelines, 21 CFR Part 11 and clinical trial methodology
• Proficient with EDC and Clinical Data Management Systems
• Experience with Cloud SaaS platforms (preferred)Experience with data reporting tools such as Qlik, JReview, Spotfire preferred.
• Experience with RBQM methodology preferred.
• Exposure to CDISC guidelines and standards
Clinical Data Manager
Posted 1 day ago
Job Viewed
Job Description
Work Mode: Work from Office
Work Location: Bangalore
LOOKING FOR IMMEDIATE JOINERS ONLY
Job Description - Clinical Data Manager :
OVERVIEW
The Clinical Data Manager (CDM) is an independent role responsible for supporting the study team and developing comprehensive study documentation, designing database specifications, and overseeing validation, maintenance/data cleaning, and closeout activities for clinical trial databases. The CDM is recognized as the platform expert, leveraging cutting-edge tools and technologies to provide continuous data insights and ensure the timely delivery of high-quality results for Sponsors. The CDM has a strong foundation in clinical data management, combined with the agility to adapt as processes evolve towards the integration of clinical data science.
KEY TASKS & RESPONSIBILITIES
• Define project specifications for Data Management services, including Protocol Conversion, Database Build, CRF Design and Data Review and Data Reconciliation tools.
• Understand external data collection, its integration into the clinical trial, and the management and reconciliation processes required to ensure its accuracy and relevance.
• Execute data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables.
• Perform holistic data review and trending analysis via reporting and elluminate® analytics to proactively identify issue, risks and develop mitigation strategies.
• Utilize artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection to enhance the efficiency and quality of trial data.
• Monitor and interpret key performance indicators (KPIs), metrics, dashboards, Clinical Trial Operational Analytics (CTOA), and reports to provide actionable recommendations to study lead(s)/project manager.
• Perform Query Management
• Define specifications and collaborate with technical team on configuration of centralized data management platform, elluminate® Data Central for data cleaning strategy and oversight activities.
• Prepare and maintain data management documentation (e.g., DMP, CCGs, Help Text, DVS) and update throughout trial lifecycle.
• Review and ensure the quality control of team-developed deliverables, covering eCRFs, study documents, program/report specifications, outputs, and elluminate® Data Central with analytics modules. Actively evaluate and contribute to enhance processes to increase efficiency and effectiveness.
• Collaborate and work as a team to ensure the deliverables are completed on time with high quality.
• Ensure compliance with industry quality standards, regulations, guidelines, and procedures.
• Other duties as assigned.
CANDIDATE’S PROFILE:
Education & Experience
• 5+ years’ experience in Clinical Data Management preferred.
• Bachelor’s degree in a health-related field or equivalent experience preferred.
• CCDM Certification preferred.
Professional Skills
• Strong project management experience and project team leadership skills including work planning, work delegation and solving complex problems.
• Strong analytical and strategic thinking skills
• Detail oriented, ability to multitask with strong prioritization, planning and organization skills.
• Excellent collaborative skills
• Demonstrated command of the English language with proficiency in both verbal and written communication
Technical Skills
• Proficiency in Microsoft Office Applications, specifically MS Project and MS Excel
• Knowledge of ICH/GCP guidelines, 21 CFR Part 11 and clinical trial methodology
• Proficient with EDC and Clinical Data Management Systems
• Experience with Cloud SaaS platforms (preferred)Experience with data reporting tools such as Qlik, JReview, Spotfire preferred.
• Experience with RBQM methodology preferred.
• Exposure to CDISC guidelines and standards
Clinical Data Manager
Posted today
Job Viewed
Job Description
Experience: 5+ yrs
Work Mode: Work from Office
Work Location: Bangalore
LOOKING FOR IMMEDIATE JOINERS ONLY
Job Description - Clinical Data Manager :
OVERVIEW
The Clinical Data Manager (CDM) is an independent role responsible for supporting the study team and developing comprehensive study documentation, designing database specifications, and overseeing validation, maintenance/data cleaning, and closeout activities for clinical trial databases. The CDM is recognized as the platform expert, leveraging cutting-edge tools and technologies to provide continuous data insights and ensure the timely delivery of high-quality results for Sponsors. The CDM has a strong foundation in clinical data management, combined with the agility to adapt as processes evolve towards the integration of clinical data science.
KEY TASKS & RESPONSIBILITIES
• Define project specifications for Data Management services, including Protocol Conversion, Database Build, CRF Design and Data Review and Data Reconciliation tools.
• Understand external data collection, its integration into the clinical trial, and the management and reconciliation processes required to ensure its accuracy and relevance.
• Execute data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables.
• Perform holistic data review and trending analysis via reporting and elluminate® analytics to proactively identify issue, risks and develop mitigation strategies.
• Utilize artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection to enhance the efficiency and quality of trial data.
• Monitor and interpret key performance indicators (KPIs), metrics, dashboards, Clinical Trial Operational Analytics (CTOA), and reports to provide actionable recommendations to study lead(s)/project manager.
• Perform Query Management
• Define specifications and collaborate with technical team on configuration of centralized data management platform, elluminate® Data Central for data cleaning strategy and oversight activities.
• Prepare and maintain data management documentation (e.g., DMP, CCGs, Help Text, DVS) and update throughout trial lifecycle.
• Review and ensure the quality control of team-developed deliverables, covering eCRFs, study documents, program/report specifications, outputs, and elluminate® Data Central with analytics modules. Actively evaluate and contribute to enhance processes to increase efficiency and effectiveness.
• Collaborate and work as a team to ensure the deliverables are completed on time with high quality.
• Ensure compliance with industry quality standards, regulations, guidelines, and procedures.
• Other duties as assigned.
CANDIDATE’S PROFILE:
Education & Experience
• 5+ years’ experience in Clinical Data Management preferred.
• Bachelor’s degree in a health-related field or equivalent experience preferred.
• CCDM Certification preferred.
Professional Skills
• Strong project management experience and project team leadership skills including work planning, work delegation and solving complex problems.
• Strong analytical and strategic thinking skills
• Detail oriented, ability to multitask with strong prioritization, planning and organization skills.
• Excellent collaborative skills
• Demonstrated command of the English language with proficiency in both verbal and written communication
Technical Skills
• Proficiency in Microsoft Office Applications, specifically MS Project and MS Excel
• Knowledge of ICH/GCP guidelines, 21 CFR Part 11 and clinical trial methodology
• Proficient with EDC and Clinical Data Management Systems
• Experience with Cloud SaaS platforms (preferred)Experience with data reporting tools such as Qlik, JReview, Spotfire preferred.
• Experience with RBQM methodology preferred.
• Exposure to CDISC guidelines and standards
Clinical Data Coder
Posted today
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Job Description
Overview
Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries.
Why Medpace?
People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today.
The work we’ve done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future.
Medpace Perks
Awards
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Clinical Data Specialist
Posted today
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•Contribute to electronic Case Report Form (eCRF) development with a thorough understanding of data to be collected and in alignment with the protocol.
•Support the assessment of new data collection requirements in assigned studies and provide clinical input into the development of new and updated clinical Data Standards (for CRFs as well as 3rd party data collection methodologies) for assigned trials/therapy areas as needed.
•Provide timely information for, and support the setup and finalization of, accurate and high-quality Data Transfer Specification (DTS) documents.
•Help define a timely transfer schedule for rapid data availability and review. Act as facilitator / problem solver between all parties involved (e.g., clinical functions, data operations, vendors) to streamline and accelerate DTS finalization and revision.
•Provide expert input into the Data Quality Plan (DQP) with a focus on clinical checks (e.g., using standard library checks and accounting for study-specific needs) and data risks.
•Conduct regular Clinical Data Reviews (CDR) in consultation with the Clinical Data Analyst and clinical team (e.g. routine review, for DB lock, Interim Analysis, Snapshots etc) and according to the DQP, utilizing visual outputs, listings, and other outputs as appropriate.
•Lead CDR meetings, keep track and file CDR meetings outcomes and actions. Raise and resolve queries related to CDR in the clinical database. Highlight any significant risk, trend, data discrepancies, process deviations at Data Quality Team (DQT) meetings.
•Identify, track and resolve Protocol Deviations (PDs) as per Novartis processes. Detect potential PDs based on regular clinical data review, evaluate non-important PDs, ensure medical review as needed, file monthly PD listing, detect trends and take actions as required.
Clinical Data Engineer
Posted today
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Job Description
Zoetis, Inc. is the world's largest producer of medicine and vaccinations for pets and livestock.
Join us at Zoetis India Capability Center (ZICC) in Hyderabad, where innovation meets excellence. As part of the world's leading animal healthcare company, ZICC is at the forefront of driving transformative advancements and applying technology to solve the most complex problems. Our mission is to ensure sustainable growth and maintain a competitive edge for Zoetis globally by leveraging the exceptional talent in India.
At ZICC, you'll be part of a dynamic team that partners with colleagues worldwide, embodying the true spirit of One Zoetis. Together, we ensure seamless integration and collaboration, fostering an environment where your contributions can make a real impact. Be a part of our journey to pioneer innovation and drive the future of animal healthcare.
The Clinical Data Engineer, ZTD R&D is responsible for delivering IT expertise, strategy, and solutions to fulfill clinical data-oriented objectives and needs of R&D at Zoetis (VMRD). This includes:
• Business Analysis: Self-directed engagement with SMEs to efficiently ascertain data traits, mappings, rules, and data product requirements, as well as data diagrams.
• Data Analysis: Connects to and analyzes data from databases, files, APIs, and other modalities to spot issues, deficiencies, and opportunities. Propose and predict remediation of issues.
• Data Development: Self-directed development (including working with and technical oversight of contract resources) of data products within the clinical data landscape (e.g., EDC, LIMS, CDMS), from various stages of prototype to production, with data products such as ETLs, integrations, analyses, limited data apps, and visualizations.
• Data Architecture: Maintaining and constantly contributing to the knowledge base of the business data landscape, both technically and from the business perspective, and leveraging this acumen in application to use cases, including harmonization and augmentation of related datasets to clinical data standards and meeting regulatory needs.
POSITION RESPONSIBILITIES
Business Analysis
• Autonomously perform Business Analysis as needed for data-based use cases, including open interaction with SMEs to answer questions and seek feedback, early analysis investigation spikes to analyze preliminary datasets, and phase-based design planning for implementation.
• Creates accurate entity mappings for data integrations and transformations, including business rules
• Creates entity relationship diagrams to document a variety of data development cases, including process flow, entity source to target, and database diagrams
• Define scope, approach, next steps, and direction with regard to assigned project objectives, and consult with technical lead for internal and business objective alignment
• Determine and document software functional and system requirements in partnership with Solution Partner
• Provide key technical input on regulatory compliance where it mandates technical coverage, such as CFR Part 11
• Actively work with business users to define, track, and version business rules for study data such as validation rules and calculations.
Contribute to process rules and flow for data management, such as when processing steps, calculations, and publish/ingestions are applied 15%
Data Analysis
• Analyze incoming data (from raw sets, database tables, APIs, and other sources) rapidly to understand its potential, needed manipulations, and issues.
• Perform data cleanup activities without direction
• Profile datasets, detecting anomalies, needed alignments, and patterns
• Proactively determine probable rules, and confirm unknown concepts with domain technical owner
• Understands AI tools and technologies; able to leverage pre-trained models for daily tasks.
Provide L3/L4 support for production data issues including advanced query capabilities and ETL pattern knowledge/familiarity to troubleshoot datasets and ETLs, and direct contracted resources as needed to remediate issues. 25%
Data Development
• Design and develop data solutions from prototype to production, largely self-driven, with data products such as ETLs, integrations, analyses, limited data apps, and visualizations
• Develop and manage pipelines and integrations for clinical data processing, from ingestion of detailed study-related sets and up to harmonized conceptual data models
• Automate pipelines using scripting and ETL tools
• Manage and monitors pipeline execution
• Design and implement error handling capabilities
• Setup simple orchestration jobs
• Perform data migration analysis tasks, such as evaluation of current sets, mapping, and process flow diagramming
• Own and oversee as needed execution of data migration tasks as part of system deployment
• Diagnose, handle, and manage data migration issues
• Understands ACID principles for databases
• Understands and applies different approaches for data loading based on the scenario, such as wipe/reload, upsert, and CDC
• Recognizes and can approach varying latencies of data loading, from batch to near-realtime
• Contribute to clinical dataset design, including structure, process, and business rules, as well as mapping to canonical domains/variables
• Define and refine dataset versioning strategy for clinical data management
• Provide controlled terminology mapping design support and analysis
• Oversee and work with contract resources to fulfill design and execution for data products.
• Assume responsibility for the overall quality of delivered products.
• Understand and apply key Agile concepts like failing fast and minimum viable product.
• Participate in project management activities like daily stand-up meetings, sprint reviews, etc.
• Assume responsibility for own assigned tasks and reaching out for clarity,
• Create tasks as needed and delegate where appropriate
• Ensure and build compliance by design on any system components supporting a GxP system or process
• Document technical design specifications
• Interpret and diagnose existing legacy or inherited code for problems and proposed remediation
• Unit test workflows extensively to minimize rework
• Peer review with others to receive and provide advice and insight
• Regression test developed items to verify continuous coverage of existing functionality
• Determine and design appropriate test plan with compliance units to satisfy compliance requirements, especially regulatory
• Design, execute, and oversee test script execution and automation
• Define deployment/installation documentation
• Execute or oversee deployment, including installation, installation verification, and hypercare
Document products consistently 50%
Data Architecture
• Recognize key VMRD data entities and understand how they relate to others, to extend the value and linkability of data across use cases.
• Know and apply approaches and sources to acquire additional metadata for key VMRD entities
• Understands basic Master Data Management principles
• Assure adherence to basic data security approaches, including app, visualization, database, and file security
• Understand and apply role-based security approaches and inheritance
• Recognize and safely handle sensitive data such as Personal Information and Intellectual Property
• Deep understanding of the technical impacts of GxP-related systems and processes
• Build and continually enhance knowledge of both the technical and business functional landscape for VMRD
• Actively interface with Systems Engineers on app-related projects
Collaborate with colleagues to continually enhance process and knowledge 10%
ORGANIZATIONAL RELATIONSHIPS
• ZTD R&D Solution Partners
• ZTD R&D Systems Engineers
• ZTD Centers Of Excellence
• VMRD business SMEs from multiple product lines and departments
RESOURCES MANAGED
Supervision
Indicate the typical number of Colleagues managed. Include direct & indirect reports, matrix responsibility and or additional resources (i.e. contingent workers), as applicable.
0 colleagues
0-4 contingent workers’ technical direction
EDUCATION AND EXPERIENCE
• Undergraduate degree related to information technology and/or computer science or equivalent education and work experience required.
• 5-8+ years’ experience with the design, building, and supporting of data applications (3-6+ with master’s degree)
• Experience with utilizing multiple vendors and/or departments for service and support activities.
• Excellent interpersonal and communication skills with the ability to build relationships.
• Experience in coordinating activities with multidisciplinary teams distributed in many physical locations with different time zones.
• Ability to prioritize issues and drive progress in ambiguous situations.
• Strong detail-oriented mindset with ability to deliver consistent, quality results.
• Hands-on experience with clinical EDC, LIMS, and/or CDMS systems.
TECHNICAL SKILLS REQUIREMENTS
Technical
• Strong experience with ETL tools, including ad hoc like Alteryx / Python and orchestrated like Informatica / DataBricks
• Strong experience with SQL query writing
• Strong experience with data analysis
• Familiarity with structured and unstructured data approaches
• Familiarity with structuring data to serve analytic needs, both for visualizations and data science use cases
• General experience with SQL Server and/or Oracle databases
• Working knowledge of T-SQL and/or PL/SQL
• Some experience with scripted languages such as Python, Powershell, and R
• Some experience with Power BI and/or Tableau
• Experience using pretrained GenAI tools for code acceleration.
• Strong experience with Microsoft Excel for basic ad hoc data purposes as well as as a data source
• Experience with software testing including unit, integration, and regression testing.
• Experience with technical writing for SDLC documentation.
Project Management
• Experience working within a Solution Delivery Lifecycle Management framework.
• Experience with Agile and familiarity with Waterfall development methodologies.
• Ability to self-manage targeted projects and create and delegate tasks.
Clinical Data engineer
Posted today
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Job Description
• Utilizes graphs, pivot charts, and other mechanisms as needed.
• Writes SQL queries to efficiently retrieve business data to respond to requests from c-suites, VPs, Directors, and clinical administration.
• Maintain proficiency in data quality management, understanding quality root cause analysis, remediation options analysis, and measuring and communicating team and individual success.
• Ensure integrity of the data pulled from Clinical systems and databases and identifies and resolve issues that arise with these systems.
• Clears EPHR interface data errors daily, including HL7 analysis.