Job Opportunities API

The Position   Join our team and drive the future of programmable  eRNA TM  therapeutics  and  In Vivo  CAR-T therapies- where AI-driven biology, targeted delivery systems and next-generation immunotherapy converge to redefine  what ’ s  possible for patients .  As a key member of the Sail Biomedicines  Data Science  team, the Senior Scientist I will operate at the interface of  platform and  program , applying data-driven approaches to  champion  broad platform efforts  and  hands-on analysis of preclinical datasets  to transform the treatment  landscape for autoimmune disease s ,  and beyond .   The  ideal candidate will combine strong biological insight with quantitative rigor,  applying data-driven approaches to extract actionable  understanding from complex preclinical and  platform  datasets  while helping  establish  scalable computational foundations for  future discovery efforts.  In addition to supporting  in vivo CAR immunology programs,  this role  will co ntribute to emerging capabilities in  systems   modeling ,   computational protein design,  molecular  modeling,  and AI/ML-enabled therapeutic  engineering .   Partnering closely with experimental scientists, you will  spearhead efforts to  translate  platform and program  data into actionable understanding of biology, enabling rapid iteration across our therapeutic learn ing  cycle.   Responsibilities   Perform in-depth analysis of  preclinical  and platform  datasets ,  including immunophenotyping, functional assays, and multi-omics data  to support both therapeutic programs and  platform development Integrate and interpret data across studies  and contexts  to generate  biological insights  that inform CAR activity, persistence, immune  dynamics  and platform-level understanding of our therapeutics Collaborate closely with immunology and platform teams to inform experimental design and interpret results   Work resourcefully with  internal / external datasets to  contextualize findings and strengthen conclusions Apply statistical and systems modeling to  develop  deeper  understanding of  product and platform  attributes and performance.  Apply and promote  best practices in  data structuring, annotation, and metadata usage  to  enable  reliable ,  scalable  and reusable  downstream analysis  across programs and platform efforts Develop and maintain   reproducible analysis workflows , with clear documentation and version control  (Git)  and c ontribute to  a  well-organized data environment by following  FAIR-aligned practices  in day-to-day work  Communicate findings clearly with collaborators  through visualizations, presentations, and written summaries   Qualifications   Required:   Ph.D. in Computational Biology, Bioinformatics, Systems Biology,   Biophysics  or related field  3+ years of experience analyzing multifaceted  biological datasets in biotech, pharma, or academia  Firsthand experience working  in CAR-T  or RNA  therapeutics . Demonstrated experience apply ing  modeling (statistical, system) to biological data .   Strong expertise  in  high-dimensional data analysis  (e.g., RNA-seq, single-cell, in vivo studies)  with the ability to  tr