Bioinformatics Scientist (Discovery Biology)

Responsibilities

• Implement and optimize bioinformatics workflows for efficient and accurate single cell RNA sequencing data analysis
• Collaborate and communicate extensively with multidisciplinary teams within and across departments to conceptualize, execute and analyze experiments in support of internal studies and external collaborations
• Integrate novel cutting-edge tools and analytical approaches into existing pipelines
• Contribute to infrastructure and workflow improvements
• Build and maintain platforms for data visualization
• Maintain detailed records up to industry standards for reproducible computing (data, code, and environments)
• Prepare results for internal meetings, grant and patent applications, scientific publications, and regulatory filings

Requirements

• PhD degree (or MS + 3 years of experience working in biotech or life sciences) in Bioinformatics, Computer Science, Computer Engineering, Computational Biology, Data Science, Genetics or related field
• Demonstrated track record, including research publications, working with NGS pipelines
• Strong understanding and extensive experience with single-cell RNA-sequencing analysis principles, from alignment, assembly, reference mapping, to annotation and visualization
• Solid foundation in molecular biology and hands-on experience with Illumina sequencing
• Proficiency in R, Python or similar language, and ability to implement open-source packages
• Experience with large-scale multiomic data processing, storage, and visualization strategies
• Competency to read and incorporate newly published approaches for analysis
• Willingness to expand skill set and contribute to emerging needs in a highly dynamic start-up environment
• High integrity, great organization and ability to multitask while working within fast-paced timelines
• Excellent written and verbal communication skills
• Collaborative team player with a problem-solver mindset
• Ability to work independently, take ownership over problems and take initiative to improve work processes, develop innovative scientific methodologies and approaches to enhance research productivity

Preferred Qualifications

• Experience with single cell ATACseq and spatial transcriptomics
• General multiomics expertise: genomics, transcriptomics, epigenomics, chromatin dynamics
• Foundational knowledge of neuroscience, stem cell biology, and developmental biology
• Familiarity with in vitro directed differentiation paradigms from pluripotent stem cells (especially along the neuronal lineage), and molecular characterization of derived cell types
• 1+ years of wet lab experience is a plus