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Salary: USD 142,000 - 171,150 / annual
Eikon Therapeutics is a biopharmaceutical company leveraging revolutionary technology at the intersection of chemistry, engineering, computation, and biology to discover novel treatments for life-threatening diseases. The company's discovery platform is built on groundbreaking innovations from its founders (Nobel Prize, 2014), including microscopes that enable real-time, molecular-resolution measurements of protein movement in living cells, unlocking otherwise intractable classes of proteins as drug targets.
You will serve as the subject matter expert for analyzing high-dimensional data, including bulk and single-cell transcriptomic datasets, working in close collaboration with diverse discovery scientists across Eikon's target portfolio. You will drive early drug discovery efforts by conceiving, designing, and evaluating complex, progress-enabling experiments.
Key responsibilities include:
- Acting as the go-to expert for analyzing high-dimensional datasets such as bulk and single-cell/single-nucleus transcriptomic data
- Partnering closely with scientists throughout Discovery to design, execute, and interpret in vitro and in vivo studies that advance projects across the portfolio
- Conducting rigorous and reproducible analyses spanning transcriptomic, genomic, and other complex datasets, tailoring analytical methods to the scientific question at hand
- Building and enhancing internal computational tools and pipelines, while overseeing external analytical partnerships when needed
- Following sound practices in code and data management—including version control and workflow orchestration—and proactively suggesting process improvements
- Contributing to the preparation of scientific publications and presentations showcasing the impact of complex data analysis on advancing scientific knowledge
You are an experienced, rigorous, and results-driven computational scientist with the ability to deliver high-impact contributions. You are a generous and enthusiastic collaborator, skilled in both established and emerging drug discovery technologies, and comfortable operating in a fast-paced, cross-functional environment. You are a curious, detail-oriented, strategic thinker who draws deep technical and biological knowledge to synthesize data from diverse internal and external sources to resolve nuanced scientific questions.
REQUIREMENTS:
- PhD in bioinformatics, computational biology, or a related quantitative field
- Proven experience analyzing complex biological datasets across one or more technical modalities, such as bulk, single-cell, or spatial transcriptomics, ChIPseq, ATACseq, CRISPR screens, high throughput proteomics, etc.
- Demonstrated hands-on experience in oncology target discovery and validation, from hypothesis generation through target prioritization
- Minimum of one first-author publication in a peer-reviewed, reputable journal
- Experience working with public datasets such as DepMap, UK Biobank, TCGA, GTEx, ENCODE, and Human Cell Atlas
- Expertise using one or more high-level programming language (e.g., R, Python, or similar) to solve biological problems; well versed in modern coding and computing best practices such as cloud deployment, version control, containerization, etc.
- Excellent interpersonal, written, and verbal communication skills
- Internship or industry exposure highly desirable
