Senior Scientist II, Computational Biology

Required

• 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.
• 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 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.
• 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%)