Senior Scientist II, Computational Biology

Millbrae, CA

Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the intersection of chemistry, engineering, computation, and biology to discover novel treatments for life-threatening diseases. Eikon’s discovery platform is built on groundbreaking innovations from its founders (Nobel Prize, 2014), culminating in the creation of microscopes which enable real time, molecular-resolution measurements of protein movement in living cells, thereby unlocking otherwise intractable classes of proteins as drug targets.

We seek a Senior Scientist in Computational Biology to drive diverse early drug discovery efforts across Eikon’s target portfolio. In this key role, the successful applicant will use their rigorous analytical skills in close collaboration with diverse discovery scientists to conceive and evaluate complex, progress-enabling experiments across our target portfolio. This person will also help shape how Eikon evaluates and adopts novel experimental systems and will partner with colleagues developing quantitative models to ensure that emerging computational methods remain grounded in sound biological reasoning.

For this role, we are seeking an experienced, rigorous, and results-driven computational scientist with a strong track record driving high impact contributions to advance early research drug discovery programs. You are an enthusiastic and generous collaborator who is skilled in both traditional and emergent drug discovery technologies and is comfortable working in a fast-paced, cross-functional environment uniting diverse disciplines and subject matter experts .

This role will require someone who is curious, detail-oriented, and a strategic thinker who can draw on deep technical and biological knowledge to synthesize data from diverse internal and external sources to resolve nuanced scientific questions. You bring both scientific depth and methodological creativity to bear on emerging experimental systems and works closely with quantitative modeling colleagues to ground new computational approaches in strong biological reasoning.

• Drive the development and adoption of novel experimental systems and techniques relevant to Eikon’s target portfolio, collaborating closely with experimental and computational teams across programs.
• Develop and apply analytical approaches, statistical methods, and proof-of-concept tools to support new experimental strategies.
• Analyze multimodal data to evaluate experimental systems, identify enabling insights, and define the limits of interpretation for biological applications.
• Apply statistical, biological, and experimental expertise to evaluate complex experiments. Distill information from diverse sources to reach relevant and testable biological conclusions.

• Postdoc Fellowship plus 4 years of relevant experience or PhD in bioinformatics, computational biology, or a quantitative field with deep expertise in statistics or method development, plus 7 years of relevant industry experience.
• Hands-on experience developing and applying methods for high-dimensional, multi-modal datasets, including experience designing, evaluating, and integrating high-throughput experiments. Ability to independently define analytical approaches for novel technologies, develop effective solutions, and validate results with minimal oversight.
• Proven experience analyzing complex genomics datasets across one or more technical modalities, such as bulk, single-cell, or spatial transcriptomics, pooled or arrayed CRISPR screens, MAVEs or other multiplexed reporter assays, high content imaging data, Perturb-seq, or other relevant technologies
• Experience working with…