Senior Scientist, Bio AI

The PositionEarli Inc. is currently seeking a top caliber Senior Scientist, Bio AI to join our Synthetic Bioengineering team.

Your Primary Responsibilities:

• 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.
• 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
• 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
• Perform routine computational analyses to analyze MPRA and other large experimental datasets using existing packages as well as bespoke analysis where needed.
• Provide accessible interfaces (e.g. Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members
• Perform routine bioinformatic analyses on multi-modal omics data (RNAseq and scRNA-seq, ATAC-seq, proteomics, phospho-proteomics etc.) using individual as well as coherent multi-omic ML-based pipelines to identify key dysregulated targets and pathways in selected cancer indications
• Routinely deploy code and execute on Earli's infrastructure hosted by Cloud Service Providers (e.g. GCP) with appropriate engineering adaptations as needed.
• Help develop and work within budgets for GPU usage/compute

Your Required Experience, Knowledge and Skill:

• Master's or PhD degree in a relevant field (bioengineering, computer science, data science, etc.) with a minimum of 3 years of hands-on experience using AI/ML applied to genomic/bioinformatic data using state-of-the-art GenAI models
• Deep, direct expertise (preferably with high-quality publications) in developing novel GenAI models trained on massive biological data. Hands-on expertise in model training, fine-tuning, and in silico evaluation is a pre-requisite for this role.
• An expert level of competence in data analysis on large and complex empirical data, such as MPRA data, multi-modal omics data, etc.
• 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.
• Expert level coding skills in Python and R
• Basic knowledge of fundamental cancer biology is required. Deep expertise in cancer -omics, biomarkers, targets and pathways is preferred
• Excellent verbal and written communication as well as 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 position is $205,000-$235,000 per year.

If interested in applying, please attach a detailed CV with research experience and publications listed; and have a well-developed LinkedIn and GitHub profile for us to assess your background.

We look forward to hearing from you!