Scientist-2

Overview

Support quantitative biology and bioinformatics activities for biomarker and clinical data, including data analysis, quality control, visualization tool development, pipeline automation, and cross-study data integration.

What you'll do

• Support figure and analysis updates, including creation of data subsets, labels, groupings, color palettes, and formatting changes while maintaining statistical integrity.
• Implement and optimize automated data processing pipelines and perform routine quality control checks on outputs.
• Generate QC summaries, validate datasets and results, and escalate data quality issues as needed.
• Build, maintain, and publish RMarkdown, Quarto, or Shiny-based data viewers for single-study and cross-study data exploration.
• Support cross-study database integration activities, including data standardization, variable mapping, identifier harmonization, ETL validation, and data ingestion.
• Generate balanced Olink assay randomization layouts and validate balance metrics before downstream sample submission.
• Develop and optimize reusable AI-assisted coding resources, prompts, and workflows using tools such as Claude Code.
• Collaborate with scientists, data analysts, and cross-functional stakeholders to support biomarker data analysis and reporting activities.
• Contribute to documentation, testing, validation, and continuous improvement of data analysis and automation processes.

What you'll need

• Bachelor's degree in Bioinformatics, Computer Science, Computational Biology, Life Sciences, or a related field.
• 4+ years of programming experience within biotechnology, pharmaceutical, healthcare, or related industries.
• Experience processing molecular datasets and/or clinical trial data.
• Strong programming skills in R, Python, R Shiny, and Bash.
• Experience with version control systems such as Git.
• Experience utilizing AI-driven coding tools such as Claude Code and other AI technologies.
• Understanding of statistical modeling concepts including linear models, logistic regression, survival analysis, and multiple testing methodologies.
• Strong quality control mindset with experience in validation and data review processes.
• Knowledge of disease areas including cardiovascular, metabolic, immunology, hematology, oncology, renal, neurodegenerative, muscle and metabolism disorders, and rare genetic diseases.
• Excellent communication, collaboration, problem-solving, and organizational skills.
• Ability to thrive in a fast-paced, collaborative environment.

Nice to have

• Master's degree preferred.
• Advanced degree (MS or higher) in Bioinformatics, Computational Biology, Computer Science, Life Sciences, or related field.
• Experience with clinical trial biomarker data analysis and visualization platforms.
• Experience supporting data integration and large-scale bioinformatics workflows.
• Familiarity with AI-assisted software development and workflow automation.

Details

• Location: Hyderabad.
• Work mode: Hybrid.
• Many roles are required to be performed on-site; confirm on-site expectations with the recruiter and hiring manager.
• Background checks may be conducted in accordance with local law prior to employment.