Scientist III – Computational Biology, Bioinformatics

Job Description:

• Design, implement, and deploy NGS data analysis workflows for therapeutic target identification and disease biomarker discovery
• Analyze and interpret bulk RNA-seq, single-cell RNA-seq, and ATAC-seq genomic datasets
• Develop and apply bioinformatics methods for functional genomics, statistical analysis, and multi-omics data integration
• Process, integrate, visualize, and mine complex datasets from internal, collaborative, and public databases
• Identify potential drug discovery targets, disease biomarkers, and downstream biological effects relevant to immunological diseases
• Select, evaluate, and benchmark computational methods and tools
• Define and perform quality control measures
• Develop innovative analytical approaches for scientific challenges
• Automate data processing, analysis workflows, results reporting, and delivery
• Develop and maintain documented, reproducible code
• Use R Shiny and D3 to communicate complex analytical findings
• Collaborate with computational biologists and multidisciplinary research teams
• Interpret experimental results, recommend follow-up analyses, and propose new investigations
• Review scientific literature on emerging computational methods, tools, and best practices
• Present analytical results and scientific interpretations to colleagues, collaborators, and stakeholders
• Contribute to protocols, SOPs, technical reports, and scientific documentation
• Maintain accurate records and uphold data integrity, ethical standards, and regulatory requirements

Requirements:

• Master's degree from an accredited institution in a relevant scientific discipline, such as Bioinformatics, Computational Biology, Computer Science, Genomics, Biostatistics, or a related scientific or STEM discipline
• At least 1 year of relevant experience with a master's degree, or a bachelor's degree in a STEM discipline with at least 7 years of relevant experience
• Strong scientific understanding and hands-on experience in bioinformatics
• Experience analyzing next-generation sequencing (NGS), functional genomics, large-scale genomic datasets, or multi-omics data
• Experience analyzing bulk RNA sequencing (RNA-seq), single-cell RNA sequencing (scRNA-seq), or ATAC sequencing (ATAC-seq)
• Strong programming skills in Python and/or R
• Experience working with Unix/Linux environments and Bash shell scripting
• Knowledge of computational methods for NGS analysis and familiarity with public bioinformatics databases and genomic data formats
• Experience with statistical analysis, data processing, visualization, and interpretation of complex biological datasets
• Familiarity with relevant R/Bioconductor packages and computational biology tools
• Ability to develop well-structured, documented, and reproducible code
• Strong analytical, troubleshooting, and problem-solving skills
• Excellent written and verbal communication skills
• Ability to work independently and collaboratively in a multidisciplinary scientific environment
• Preferred: experience in pharmaceutical research, drug discovery, or immunological disease research
• Preferred: background in immunology, inflammation, immune responses, or related biological research
• Preferred: experience with multi-omics data integration and interpretation
• Preferred: familiarity with workflow orchestration and pipeline development tools, including Nextflow
• Preferred: experience with data visualization technologies, including R Shiny and D3
• Preferred: experience with cloud computing environments and large-scale data analysis
• Preferred: knowledge of public genomic and bioinformatics databases and resources
• Preferred: experience with automated reporting, workflow optimization, and computational quality control
• Preferred: ability to interpret experimental findings and translate complex genomic analyses into actionable scientific recommendations

Benefits:

• 12-Month Contract
• Remote work arrangement

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