Oracle Clinical Data Engineer / Architect
- Location: Charlotte, NC or Dallas, TX
- # of Positions: 2
- Start: ASAP
- Other Details: REMOTE
- Eligibility: Open
- Client Name / Domain: HLS
- Bill Rate: $??
- Type: Contract / C2C
- Contract Duration: 12+ mos Contract
- Experience: 15+ years
- Skills: Oracle, Clinical, PostgreSQL, ETL, SQL, Snowflake, LifeSciences, PMP, TOGAF, SAFe, E-Protocol, AWS, Azure, eCTD, IDMP, RIM, Camuda, Pega, API Design, Data Orchestration
The Ask? Client is looking for a Oracle Clinical Data Engineer / Architect to lead the design and architecture of a next-generation E-Protocol platform for a global life sciences client. The Clinical Data Architect is responsible for designing, implementing, and maintaining the data and data architecture that supports industry-leading products, clinical operations and research initiatives.
Must have HLS / Clinical Data experience.
Responsibilities:
- Design, develop, and maintain robust data architectures to support clinical data integration, products, and analyses.
- Collaborate with clinical, product and IT teams to understand data requirements and translate them into effective data models and solutions.
- Create, manage, and monitor data quality metrics as part of the Clinical Data Quality Program.
- Use statistics and tools to evaluate data, present to leadership and stakeholders, and identify problems proactively.
- Ensure the quality and integrity of clinical data, with a particular emphasis on ophthalmology / retina data.
- Work to ensure proper data quality is maintained across all clinical data systems and that supporting products get the high quality data they need, when they need it.
- Develop and maintain documentation for data architecture, data flows, and data models.
- Ensure data products are produced on time with high quality, accuracy and integrity
- Collaborate with the larger team to design, evolve and implement data architecture(s), infrastructure, data collection efforts and improvements to existing scale, processes and approaches.
- Establish monitoring solutions to prevent outages, to promote timely and accurate data collection, ingestion, processing and analysis.
Skills and Experience:
- 15+ years of experience in Enterprise & Solution Architecture within complex, regulated industries (life sciences preferred).
- Deep understanding of compliance and data integrity in life sciences or healthcare.
- Knowledge of additional database systems such as SQL Server, Oracle, and/or Snowflake preferred.
- Expertise in bidirectional data transactions via APIs using Python, AWS lambda, ECS, etc.
- Work experience with data visualization and prototyping tools (e.g., Seaborn, Plotly libraries in python, Tableau, etc.).
- Knowledge of statistics: fundamental concepts to summarize, analyze, and visualize data, tests of statistical significance, regression, etc.
- Experience with additional cloud platforms a plus (e.g. Azure, Google Cloud Platform, etc.)
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- Must haves
- Prior experience in Clinical Development Systems or E-Protocol platforms.
- Exposure to regulatory submission systems (e.g., eCTD, IDMP, RIM).
- Knowledge of cloud-native services and microservices architectures in Azure or AWS.
- TOGAF, SAFe, or similar architecture/enterprise certifications
SUBMISSION FORMAT
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- Email ID:
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- Current location:
- Contract:
- Rate:
- Willing to Relocate:
- Availability after offer/Notice period:
- Reason for change:
- LinkedIn link:
- Best and lowest Rate:
ABOUT US (Equal Opportunity Employer)
At TP USA we are proud to celebrate diversity of people for the benefit of our employees, our products, and the global community we all belong to. It is the policy of TP USA Inc., and its subsidiaries, to provide equal employment opportunities to all employees and applicants for employment. All employment practices such as recruitment, selection, promotions, and other terms and conditions of employment are administered in a manner designed to ensure that employees and applicants for employment or services are not subjected to discrimination on the basis of age, race, color, sex, sexual orientation, gender identity, national origin, ancestry, medical condition, disability, marital status, religious or political preferences or union affiliation.
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