Who We Are: 

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives.  Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

Position Description: 

Calico’s Genomics Technology Lab is looking for a highly motivated Functional Genomics Scientist to join our group. The ideal candidate has a strong technical background and is excited to work in a highly collaborative environment to design and apply functional genomics assays to read out interpretable phenotypes underlying the complexities of aging and age-related diseases. This role requires proficiency in designing and executing large-scale perturbation screens and generating multimodal genomics datasets. The position provides the opportunity to be an integral part of a cross-functional team that includes Research, Discovery Technologies, Data Science, and Machine Learning to spearhead these innovative studies. The position is ideal for someone who is highly adaptable and interested in utilizing novel technologies to answer a complex and diverse set of biological questions. 

Position Requirements:

• Ph.D. in Genomics, Genetics, Molecular Biology, Systems Biology, or a closely related field
• Strong record of originality and productivity as evidenced by impactful publications
• Proficient in bulk and single cell *seq technologies (e.g. RNA, ATAC, ChIP, Ribo, CITE)
• Experienced in large-scale genomic perturbation screens (CRISPR-Cas9, shRNA, etc.) 
• Strong bioinformatics skills with experience analyzing genomic data using R and/or Python
• Must be willing to work onsite five days per week

Nice To Have:

• Expertise in analyzing single-cell multi-omics data
• Experience with spatial transcriptomics
• Familiarity with Linux/Unix and command-line tools
• Strong cell culture background with hPSCs and neuronal organoid model experience
• Experience with image-based phenotyping and analysis
• Experience collaborating with machine learning and data scientists to enhance research outcomes

The estimated base salary range for this role is $127,000 - $135,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.