Research Data & Software Engineer

• Must be from - Bioinformatics or Computational Biology and Data Science Back ground
• Job Description:
• In this role, you will develop and support digital solutions that enable scientists across Receptor Biology Discovery
• (RBD) to access, analyze, visualize, and interpret experimental data. You will work closely with scientists, assay developers, and data scientists to build software tools, automated workflows, and data infrastructure that support ,both day-to-day research activities and longer-term digitalization initiatives.
• Your work will span scientific software development, data engineering, workflow automation, and scientific data management.
• You will help transform laboratory data into accessible, reliable, and reusable digital assets that
• accelerate scientific discovery and enable future AI-driven research approaches.
• Your Key Responsibilities
• • Develop and maintain software applications, dashboards, and visualization tools supporting scientific research.
• • Build and support automated workflows for experimental data processing, analysis, and reporting.
• • Develop data pipelines that connect laboratory systems, databases, and scientific applications.
• • Collaborate with scientists to understand research needs and translate them into practical digital
• solutions.
• • Improve scientific data quality, accessibility, and traceability through development of standardized
• workflows and tools.
• • Support assay-specific analysis platforms and scientific data management systems.
• • Participate in implementation of new digital capabilities and continuous improvement of existing
• platforms.
• • Contribute to documentation, testing, and long-term sustainability of scientific software solutions.

Required Experience:

• • BS + 4 years, MSc + 2 years, or PhD in Data Science, Computer Science, Bioinformatics, Computational Biology, Engineering, Chemistry, Biology, or a related discipline.
• • Experience developing software tools, applications, or automated workflows.
• • Experience and proficiency in Python and JavaScript (Svelte/Sveltekit preferred).
• • Experience working with scientific or technical datasets.
• • Experience with SQL and relational databases.
• • Experience with data visualization and dashboard development.
• • Strong problem-solving skills and a desire to develop practical solutions for scientific challenges.
• • Excellent communication and collaboration skills.
• • Ability to work independently while partnering effectively with multidisciplinary teams.
• Preferred
• • Experience supporting laboratory, research, or scientific environments.
• • Experience developing web applications and interactive visualization tools.
• • Experience with cloud-based or containerized applications.
• • Experience with workflow automation and data pipeline development.
• • Familiarity with machine learning, statistics, or scientific data analysis.
• • Experience with version control systems such as Git.