Director/Sr Director, Synthetic Bioengineering

The Position Earli Inc. is currently seeking a creative and experienced Director/Senior Director to lead the Synthetic Bioengineering team. Your Primary Responsibilities * Lead the team to develop and validate novel synthetic promoters and other regulatory elements for Earli's cancer-activated synthetic expression platform * Lead cross-functional interactions with computational biology and data science team members to implement a next-gen platform that integrates massive experimental screening with AI/ML models for synthetic promoter discovery * Expand current pipeline for computational analysis of cancer multi-omics data and literature to identify key dysregulated pathways in selected cancer indications (especially dysregulated transcription factors) * Develop creative strategies to increase the strength and durability of expression from synthetic DNA constructs by engineering regulatory elements such as 5' and 3' UTRs, codon optimization, mRNA structure, etc. * Collaborate with the Delivery and Translational Biology teams to develop novel strategies for increasing expression of therapeutic or diagnostic proteins in cancer cells using non-viral lipid nanoparticles * Communicate internally and externally through presentations and reports to key stakeholders including company leadership, scientific advisors, investors, regulatory agencies, etc. * Help author publications and presentations of Earli's synthetic promoter platform in high-impact journals and conferences Your Required Experience, Knowledge and Skill * PhD degree in a relevant life sciences field with a minimum of 8 years of biotech industry experience using synthetic biology to engineer, build, and test synthetic promoters or gene circuits * Deep, direct expertise (as evidenced by high-quality publications or patents) in building platforms for promoters, enhancers, logic circuits, other regulatory elements (e.g. miRNAs, UTRs, etc.) * Proficiency in using AI/ML techniques to engineer biological molecules using massive multi-omics datasets and state-of-the-art models. An expert level of knowledge is preferred * Aptitude with designing and using high-throughput screening strategies for massively parallel evaluation and evolution of large synthetic libraries in mammalian cells * Proficiency in single cell genomics, spatial transcriptomics or other techniques to quantify and validate expression * Basic knowledge of fundamental cancer biology is required. Deep expertise in cancer -omics, biomarkers, targets and pathways is preferred * Good working knowledge of drug development principles and workflows for validation in translationally relevant mouse and large animal models * Excellent verbal communication and interpersonal skills are required * Able to multi-task, manage multiple projects simultaneously and work effectively within a team * Ability to think independently and fully integrate into a high achieving team environment The base salary for this role is $165,000-$215,000 per year.

Created: 2025-01-07