Bioinformatics Research Data & Software Engineer

• Research Data & Software Engineer, Data Science & AI
• 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.

About Excelra

Excelra is a leader in biopharma data and analytics, that uniquely blends scientific understanding with technological expertise. This dual mastery empowers innovative drug discovery and development, transforming research data into actionable insights for groundbreaking discovery.

We have locations in Hyderabad (head offices – India), Ghent (Belgium), London (UK), Utrecht (The Netherlands), and Boston/SFO (US).

www.excelra.com

Responsibilities

Hybrid

• 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.
• 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.

Requirements

• A PhD in Bioscience engineering, Bioinformatics, computer science, Computational Biology, Data Science, Computer Science, Genomics, Systems Biology, or a related discipline– or an MSc with 5+ years of equivalent experience. You can demonstrate this through peer-reviewed publications, contributions to public code repositories, or relevant project work.
• Experience developing software tools, applications, or automated workflows.
• 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 and proficiency in Python and JavaScript (Svelte/Sveltekit 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.

Benefits

• A challenging job environment with advancement opportunities.
• Flexible hybrid working in an international setting.
• A dynamic company with an open culture, easy communication, and an ambitious vision.
• A rich and global team with a mix of backgrounds, experiences, and expertise.
• Independence and flexibility.
• Opportunities to work on cutting-edge microbiome research, workflow development, and support digital solutions.
• An attractive salary package with extra-legal benefits.