Senior Scientist, Computational Biology at Eikon Therapeutics in Millbrae, CA

Job description

• 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 seeiking 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.

Responsibilities

• 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

Requirements

• Postdoc Fellowship plus 2 years of relevant experience or PhD in bioinformatics, computational biology, or a quantitative field with deep expertise in statistics or method development, plus 5 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 large consortia and public datasets such as UK Biobank, TCGA, GTEx, ENCODE, gnomAD, 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.
• Demonstrated record of impactful research, evidenced by publications in peer-reviewed journals.
• Excellent interpersonal, written, and verbal communication skills.
• Additional weight will be given to qualified applicants with experience partnering with computational/algorithms teams on statistical or machine learning model development and/or methodological development.

Skills

Required

• Enthusiastic and generous collaborator
• R
• Python
• Cloud deployment
• Version control
• Containerization
• Statistical methods
• Machine learning
• High-dimensional data analysis
• Genomics data analysis

Benefits

• At Eikon, employee compensation also includes bonus and equity compensation, in addition to several generous benefit programs, including:​
• 401k plan with company matching​
• Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%)​
• Mental health and wellness benefits​
• Weeklong summer and winter holiday shutdowns​
• Generous paid time off and holiday policies​
• Life/AD&D Insurance (premiums covered by Eikon at 100%) and optional supplemental employee-paid life/AD&D policies ​
• Enhanced parental leave benefit​
• Daily subsidized lunch program when on-site​
• The expected salary range for this role is $178,000 to $215,250 depending on skills, competency, and the market demand for your expertise.