Earli Inc.
Senior Scientist, Bio AI
Redwood City, CA · Senior
Sponsorship not specified$205k-$235kDetected 130 days ago
PythonGCPMachine LearningData AnalysisData ScienceComputer VisionLLMsFDA RegulatoryBioinformaticsCRISPRNGSLab ResearchExperimental DesignLeadershipCommunication
About the role
- Earli Inc. is currently seeking a top caliber Senior Scientist, Bio AI to join our Synthetic Bioengineering team.
- Train generative AI models for designing genetic medicines by leveraging Earli's proprietary Massively Parallel Reporter Assay (MPRA) data as well as external data sets
- Provide accessible interfaces (e.g. Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members
Responsibilities
- Cancer cells become their own drug factories, enabling localized immune activation, even in cold tumors.
- Leverage cutting-edge ML, bioinformatics, and high-throughput assay data to design cancer-specific synthetic promoters and novel genetic medicines that will directly impact Earli's clinical pipeline.
- Contribute to wet lab experimental design and data evaluation to benchmark AI model performance against ground truth wet lab data and create a rapid iteration loop
- Able to multi-task, manage multiple projects simultaneously and work effectively within a team
- AI-designed genetic switches that activate only in malignant cells by sensing transcription factor dysregulation
Requirements
- You work well in a fast-paced and extremely focused startup environment
- You are not only smart, but clever and constantly think outside the box
- You are able to make logical decisions in an instant when there is little time to evaluate
- You are a natural communicator and relationship builder
- You have the ability to multi-task in a serious way, with an extreme attention to detail
- You become a representative of the core DNA of the company through who you are
- Your Required Experience, Knowledge and Skill
- Familiarity with and prior experience collaborating with wet lab scientists to generate and curate high-throughput screening data on large libraries of DNA or RNA sequences
- Proficiency in routine bioinformatic analyses such as differential gene expression, ATAC-seq and RNA-seq analysis, etc.
- Excellent verbal and written communication as well as interpersonal skills are required
Nice to have
- Basic knowledge of fundamental cancer biology is required.
- Deep expertise in cancer -omics, biomarkers, targets and pathways is preferred
Skills
- Expert level coding skills in Python and R
Compensation
- The base salary for this position is $205,000-$235,000 per year.
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