Job Description

We are seeking a Computational Genomics Research Scientist to support the development of stem cell-derived islet cell therapies for Type 1 Diabetes (T1D). This position is within the broader Data and Computational Sciences team focused on developing cell and genetic therapies to treat serious human diseases. You will work closely with computational scientists across our global network, and be embedded within T1D project teams such as stem cell, immunology, and gene editing research. Within these teams, you will play a critical role acting as the computational genomics expert bringing together the needs of project teams with computational biology tools that will enable data-driven decisions to advance the next generation of cell therapies.

Key Duties and Responsibilities:

• Collaborate closely with cross-functional research teams to identify key needs and questions that can be addressed using genomics, sequencing, or other bioinformatics approaches
• Plan, execute, and iterate on data analyses in partnership with computational and experimental team members to derive actionable insights on islet cell differentiation and immunology through deep critical thinking and published findings
• Carry out a wide range of NGS computational analyses to support growing needs and priorities across the therapeutic program, such as bulk RNA-seq, single cell genomic and multiomic profiling, spatial transcriptomics, genetic screens, and on/off-target gene editing
• Communicate on a regular basis to research project teams and other key stakeholders to present findings, key next steps, and recommendations to ensure timely progress
• Scour relevant scientific literature and incorporates new insights into research activities and evaluation of new technologies and methods
• Partner with method development team members, identifying opportunities to improve usability, accuracy, and robustness of internal methods
• Practice reproducible research and version control in data analysis
• Author study reports to support regulatory filings

Minimum Qualifications:

• Ph.D. (or equivalent degree) in computational biology, bioinformatics, human genetics, genomics, systems biology, bioengineering, or a related field, and 0-3 years of relevant post-doctoral employment experience, or
• Master's Degree (or equivalent degree) in similar fields and 3+ years of relevant employment experience.
• A proven track record in the analysis, visualization, and interpretation of genomic and next-generation sequencing (NGS) data, with direct experience in single cell genomics a plus
• Demonstrated ability to work closely with cross-functional project teams to design studies and carry out analyses to answer scientific questions under defined timelines
• Proficiency in R or Python to adapt and execute pipelines for data analysis
• Experience working in high performance computing (HPC) Linux-based systems
• Solid scientific understanding of statistics
• Excellent presentation and communication skills, including the ability to tailor scientific content to audiences with different backgrounds
• A team-oriented growth mindset that welcomes feedback from others and supports other team members; a positive attitude that enthusiastically tackles and overcomes challenges
• Excellent working knowledge of gene editing, functional genomics, molecular biology, developmental biology, or immunology a plus

Company Information