... the pharmaceutical, biotechnology, or CRO industry. * Strong programming skills in Python ... Familiarity with Power BI, Tableau, or QlikView for operational reporting and dashboard development.
... the pharmaceutical, biotechnology, or CRO industry. * Strong programming skills in Python ... Familiarity with Power BI, Tableau, or QlikView for operational reporting and dashboard development.
Growth Marketing Manager
Saint Petersburg, FL · On-site
$70K - $80K/yr
... Analytics, Tableau) and CRM platforms (e.g., HubSpot, Salesforce) Exceptional analytical and ... Master's degree or MBA Experience in the life sciences, biotechnology, or laboratory supplies ...
Quick apply
Growth Marketing Manager
Saint Petersburg, FL · On-site
$70K - $80K/yr
... Analytics, Tableau) and CRM platforms (e.g., HubSpot, Salesforce) Exceptional analytical and ... Master's degree or MBA Experience in the life sciences, biotechnology, or laboratory supplies ...
Tableau Biotech information
What is a Tableau Biotech professional?
A Tableau Biotech professional is someone who specializes in using Tableau, a powerful data visualization and analytics tool, within the biotechnology industry. Their role typically involves collecting, analyzing, and visualizing complex biotech data to support research, development, and business decision-making. They collaborate with scientists, researchers, and business teams to create interactive dashboards and reports that make data insights accessible and actionable. By translating raw data into meaningful visualizations, they help organizations in the biotech sector make informed decisions and drive innovation.
What are some typical challenges faced by Tableau developers in the biotech industry, and how can they be addressed?
Tableau developers in the biotech sector often encounter challenges related to integrating complex scientific data from multiple sources and maintaining data accuracy for regulatory compliance. They must collaborate closely with scientists, data analysts, and IT teams to ensure dashboards meet both technical and scientific requirements. Proactively learning about biotech data standards and establishing clear communication channels can help overcome these hurdles, ensuring effective data visualization and supporting critical decision-making.
What are the key skills and qualifications needed to thrive as a Tableau Developer in the biotech industry, and why are they important?
To thrive as a Tableau Developer in the biotech sector, you need strong data visualization skills, proficiency in SQL, and a background in life sciences or healthcare analytics. Expertise in Tableau Desktop, Tableau Server, and integration with data sources like Excel, SQL databases, or cloud platforms is commonly required, along with certifications such as Tableau Desktop Specialist. Analytical thinking, attention to detail, and strong communication skills help you translate complex biomedical data into actionable insights for stakeholders. These skills are crucial for enabling data-driven decision-making and accelerating research and development in the biotech field.
What are popular job titles related to Tableau Biotech jobs in Florida? For Tableau Biotech jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Tableau Biotech jobs in Florida look for? The top searched job categories for Tableau Biotech jobs in Florida are:
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Posted 9 days ago
Job description
Greetings !
Job SummaryThe Clinical Data Enablement Senior Manager (FSP) is responsible for designing, implementing, operating, and continuously improving end-to-end clinical data pipelines across cloud-based data lake and data warehouse environments. This role ensures the reliable, secure, and compliant delivery of clinical data products by developing scalable data engineering solutions, automating data integration processes, and collaborating with internal stakeholders, external vendors, and downstream consumers. The position plays a key role in maintaining operational excellence while adhering to GxP and regulatory requirements.
Key Responsibilities- Design, develop, maintain, monitor, and optimize end-to-end clinical data pipelines across cloud-based data lake and data warehouse platforms.
- Build scalable ETL/ELT frameworks for clinical data ingestion, transformation, orchestration, and delivery using AWS or Azure cloud technologies.
- Automate data integration processes, workflow scheduling, metadata-driven pipelines, and data quality validations to improve operational efficiency.
- Monitor production pipelines, perform incident management, conduct root cause analysis, and implement corrective and preventive actions.
- Collaborate with internal business teams, external vendors, and technology partners to define data transfer specifications, integration standards, and acceptance criteria.
- Support structured and unstructured clinical data integration while ensuring data accuracy, consistency, and traceability.
- Partner with Statistical Programming, Clinical Data Programming, SDTM, and Analytics teams to deliver high-quality, fit-for-purpose datasets.
- Develop and maintain operational dashboards and KPI reports to monitor pipeline health, data quality, processing success rates, and service performance.
- Ensure timely delivery of clinical data products while managing SLAs and operational performance metrics.
- Design GxP-compliant data engineering solutions with complete lifecycle documentation, audit trails, and validation evidence.
- Implement ALCOA+ data integrity principles, change control processes, incident documentation, and inspection readiness activities.
- Collaborate with Quality, Compliance, IT, and business stakeholders to implement security controls, access management, logging, and audit capabilities.
- Mentor junior engineers and promote engineering best practices, continuous improvement, and knowledge sharing across teams.
- Bachelor''s degree in Computer Science, Information Technology, Engineering, Life Sciences, or a related discipline.
- 7+ years of experience in data engineering, clinical data integration, ETL/ELT development, or cloud data platform operations, preferably within the pharmaceutical, biotechnology, or CRO industry.
- Strong programming skills in Python (preferred), SQL, and working knowledge of R.
- Experience with AWS or Azure cloud services, including technologies such as EC2, EMR, RDS, Redshift, Apache Spark, Snowflake, and Databricks.
- Hands-on experience designing and supporting data lake and data warehouse solutions.
- Knowledge of REST APIs, JSON, XML, CSV, NoSQL databases, and file-based data integrations.
- Experience with GitHub/GitLab, CI/CD pipelines, SDLC methodologies, Jira, and Confluence.
- Familiarity with Power BI, Tableau, or QlikView for operational reporting and dashboard development.
- Knowledge of clinical data standards including CDISC, CDASH, and SDTM.
- Experience working within GxP-regulated environments, including data integrity, change control, validation, and audit readiness.