Systems Engineer (Data Visualisation)
Actively Reviewing the ApplicationsBahwan CyberTek
Job Description
Role description
POSITION SUMMARY
highly skilled and innovative Data Visualization Engineer to join our pharmaceutical R&D team. The ideal candidate will have a strong background in data science, advanced visualization techniques, and expertise in tools and technologies for creating insightful and interactive visualizations across various data types. The role requires close collaboration with scientists, analysts, and other stakeholders to translate complex datasets into impactful visual narratives that drive decision-making in drug discovery, development, and clinical research.
POSITION RESPONSIBILITIES
Design and Develop Visualizations:
· Create interactive and static visualizations for exploratory, descriptive, comparative, and predictive analyses.
· Develop dashboards and reports for summarizing key insights from high-throughput screening, clinical trial data, and other R&D datasets.
Implement visual representations for pathway analysis, pharmacokinetics, omics data, and time-series trends
Collaborate with Cross-Functional Teams:
· Partner with data scientists, bioinformaticians, pharmacologists, and clinical researchers to identify visualization needs.
Translate complex scientific data into clear, compelling, and actionable visual insights tailored to technical and non-technical audiences.
Maintain and Optimize Visualization Tools:
· Build reusable visualization components and frameworks to support large-scale data analysis.
Evaluate and recommend tools and platforms for effective data visualization, including emerging technologies.
Data Processing and Integration:
· Collaborate with data engineers to integrate, clean, and structure datasets for visualization purposes.
Ensure alignment of visualization solutions with pharmaceutical R&D standards, compliance, and security requirements.
Innovation and Expertise Development:
· Stay updated on the latest trends in visualization technology and methods relevant to pharmaceutical research.
Apply advanced techniques like 3D molecular visualization, network graphs, and predictive modeling visuals.
EDUCATION AND EXPERIENCE
· Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Bioinformatics, or a related field.
Experience in pharmaceutical or biotech sectors is a strong plus.
TECHNICAL SKILLS REQUIREMENTS
· Visualization Tools: Expertise in Tableau, Power BI, Plotly, ggplot2, Matplotlib, Seaborn, D3.js, or equivalent.
· Programming: Proficiency in Python, R, or JavaScript (e.g., for D3.js).
· Data Handling: Experience with SQL, Pandas, NumPy, and ETL processes.
· Omics and Network Tools: Familiarity with Cytoscape, BioRender, or molecular visualization platforms (e.g., PyMOL, Chimera).
· Dashboarding: Building interactive dashboards with Dash, Shiny, or Streamlit.
· 3D Visualization: Experience with tools for structural and spatial visualization (e.g., PyMOL, PyVista).
· Soft Skills:
o Strong storytelling ability to convey scientific insights visually.
o Effective communication and collaboration with interdisciplinary teams.
Analytical thinking to align visualizations with research goals.
Required Skills
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