[Remote] Computational Biologist II

Note: The job is a remote job and is open to candidates in USA. RefinedScience is dedicated to advancing care by integrating science and data to uncover pathways to better health. They are seeking a Computational Biologist II to perform bioinformatics analyses, collaborate with teams, and contribute to research initiatives using established methods on evolving datasets.

Responsibilities
• Execute bioinformatics and computational biology analyses with guidance from project and team leads
• Collaborate effectively with bioinformatics colleagues, cross-functional teams, and external partners
• Apply established methods to new and evolving datasets
• Document analyses using reproducible research practices
• Contribute to scientific reports and presentations
• Participate in code reviews and team knowledge-sharing
• Continuously learn new tools and approaches to support high-quality, scalable research and analytics initiatives at RefinedScience

Skills
• PhD in bioinformatics, computational biology, molecular biology, genomics, biostatistics, computer science, or related quantitative discipline (OR Master's with 2+ years relevant experience)
• Proficiency in R or Python for data analysis and visualization
• Familiarity with Linux/Unix command-line environments
• Proficiency with Git/GitHub
• Experience working with large-scale biological datasets
• Exposure to conda, Docker, or similar tools
• Training in and/or demonstrated ability to analyze and extract biological insights from single-cell datasets (e.g., scRNA-seq, ATAC-seq, CITE-seq, or other multi-omics data)
• Understanding of next-generation sequencing technologies and data processing workflows
• Solid understanding of statistical methods for biological data analysis (hypothesis testing, differential expression, dimensionality reduction, clustering, etc.)
• Strong understanding of molecular biology principles; familiarity with cancer biology, immunology, hematology, or other relevant disease areas
• Demonstrated independent research through doctoral thesis work
• Author or co-author on peer-reviewed publications (submitted or published)
• Experience presenting research findings at lab meetings, seminars, or conferences
• Proven ability to formulate research questions, design analytical approaches, and troubleshoot complex data analysis challenges
• Experience with single-cell analysis frameworks (Seurat, scverse, Bioconductor packages)
• Familiarity with applying AI/ML methods and tools to computational biology tasks
• Familiarity with pandas, numpy, scikit-learn, or similar libraries commonly used for data science and scientific computing
• Exposure to cloud computing platforms (GCP)
• Understanding of experimental design for genomics studies
• Strong project and time management skills
• Excellent written and verbal communication skills
• Collaborative mindset and willingness to share knowledge and support team members
• Prior experience working in Biotech or Pharma environment

Company Overview
• RefinedScience uses data, technology, and expertise to accelerate drug development. It was founded in 2019, and is headquartered in Aurora, Colorado, USA, with a workforce of 11-50 employees. Its website is https://www.refinedscience.com/.

Company H1B Sponsorship
• RefinedScience has a track record of offering H1B sponsorships, with 1 in 2025, 1 in 2023. Please note that this does not guarantee sponsorship for this specific role.

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