Sana Biotechnology is growing, and we are hiring new team members who believe in the potential of engineered cells as medicines, who are passionate about delivering the possible to patients, and who lead with the desire to work on novel ideas.  As a Principal Bioinformatician, you will report to the Senior Genomics Lead, and work under the broader direction of the Head of Stem Cell Sciences. You will work towards the common goal of quality control for cell therapy products using genomics and epigenomics. This position will routinely design experiments and analyze data of the following assays: whole genome sequencing, amplicon-sequencing, CUT&TAG, CUT&RUN. Daily responsibilities include data management, experimental design, optimization and maintenance of computational workflows, incorporation of new methodologies, and providing interpretable results to aid in hythothesis generation.

What you’ll do

• Partner with the beta islet group to design studies, answer biological questions and analyze cell differentiation data.
• Derive insights from transcriptomic and other omics datasets, including scRNA-seq, bulk RNA-seq, and snRNA-seq that enable therapeutic development
• Communicate to a broad audience with a range of technical, analytical, and biological expertise and present results at group meetings
• Collaborate with Computational Biology and Computational Engineering groups to provide reproducible, tested, and robust analyses

What we’re looking for

• Ph.D. in computational biology, genetics, bioinformatics, statistics, or related discipline with 5+ years of industry or relevant academic experience, or M.Sc. with 10+ years or equivalent combination of education/work experience
• Domain experience in stem cell differentiation and engraftment experiments, especially islet beta cells or other endocrine cell lineages
• Knowledge of mammalian cell differentiation and methods to assess purity and stability of iPSC generated cell lines
• Proficiency in Python and R, Unix/Linux, and HPC systems; familiarity with testing frameworks for assuring code correctness
• Strong scientific background including an understanding of molecular biology, cell biology, and genomics resources

What will separate you from the crowd 

• Expertise in generating testable hypotheses from large omics datasets
• Demonstrated skill in existing single-cell analysis tools such as Seurat, Scanpy, Slingshot, or Monocle for trajectory inference and cell cycle regression
• Knowledge of workflow languages (Nextflow, CWL) and demonstrated ability to transition analyses into modules/library code for general use in pipelines

What you should know

• The base pay range for this position at commencement of employment is expected to be between $175,000 and $205,000/year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience