Tbwa Chiat/Day Inc
Scientist, Computational Biology, Spatial Omics Science Integration, Innovation,
Tbwa Chiat/Day Inc, San Francisco, California, United States, 94199
Scientist, Computational Biology, Spatial Omics
Cambridge, UKOur Mission
Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.Diversity at Altos
We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.What You Will Contribute To Altos
The Bioinformatics Innovation Hub is a cross-Altos team of computational scientists working across the three institutes in San Diego, San Francisco and Cambridge (UK). This position is not tied to any specific site.The bioinformatics team is working on challenging and exciting scientific projects requiring both the development and implementation of data processing workflows and bespoke advanced analytics to unravel the molecular mechanisms underlying cellular rejuvenation and reprogramming. We expect the candidate to apply rigorous scientific thinking and robust methods, and furthermore have strong work ethics. They will work closely with a cross-disciplinary team including domain knowledge experts, data generation experts and other computational scientists.With this position we aim to strengthen the team in spatial omics.ResponsibilitiesInteract closely with the Genomics and Imaging Hubs on developing and running spatial omics workflows, contribute to solutions for data storage, pre-processing and analysis of Xenium data, act as a point of contact for experimentalists regarding spatial omics experimentsCollaborate closely with domain knowledge experts to plan and design studies to elucidate molecular phenotypes of cellular health, rejuvenation and reprogrammingProcess internal and external NGS sequencing data according to Altos’ standardsIndependently analyze internal and external NGS sequencing dataAnalyze single-cell data covering the entire workflow from raw data to read/counts, data normalization and transformation, dimensionality reduction, cluster analysis, differential expression, trajectory analysis, enrichment analysisEmbed analyses and visualizations in automated and bespoke reportsBuild interactive dashboards for data visualization and explorationPartner with other computational scientists to establish automated, robust and efficient analytical pipelines for reproducible researchStay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approachesWho You Are
Minimum Qualifications
PhD in a quantitative field (e.g. computational biology, mathematics, physics) with significant biological background OR a PhD in the life sciences with significant computational experienceExtensive knowledge of NGS data analysisExperience with spatial transcriptomicsExperience with implementing workflows using NextflowProficiency in Python and/or R. Hands-on skills using data science packages (Pandas, Scikit-learn, NumPy, Tidyverse, Caret)Statistical analysis backgroundExcellent communication skills. Ability to present complex computational methods to non-expertsEstablished ability to translate biologists’/project team’s scientific questions into analytical strategies and methodsStrong collaboration skills and ability to work as part of a team in an international and interdisciplinary environmentOutstanding organizational skills and the ability to work independentlyPreferred Qualifications
Knowledge of single-cell sequencing technologies and analytical techniquesExperience with variant calling methodologiesExperience with long read sequencing (Nanopore, PacBio)Experience with cloud providers (e.g. AWS)Comfortable working in command line/Linux environmentsBackground in cellular rejuvenation and reprogrammingFamiliarity with publicly available single cell data resourcesThe salary range for Cambridge, UK :Exact compensation may vary based on skills, experience, and location.What We Want You To Know
We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation.Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief).Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.
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Cambridge, UKOur Mission
Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.Diversity at Altos
We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.What You Will Contribute To Altos
The Bioinformatics Innovation Hub is a cross-Altos team of computational scientists working across the three institutes in San Diego, San Francisco and Cambridge (UK). This position is not tied to any specific site.The bioinformatics team is working on challenging and exciting scientific projects requiring both the development and implementation of data processing workflows and bespoke advanced analytics to unravel the molecular mechanisms underlying cellular rejuvenation and reprogramming. We expect the candidate to apply rigorous scientific thinking and robust methods, and furthermore have strong work ethics. They will work closely with a cross-disciplinary team including domain knowledge experts, data generation experts and other computational scientists.With this position we aim to strengthen the team in spatial omics.ResponsibilitiesInteract closely with the Genomics and Imaging Hubs on developing and running spatial omics workflows, contribute to solutions for data storage, pre-processing and analysis of Xenium data, act as a point of contact for experimentalists regarding spatial omics experimentsCollaborate closely with domain knowledge experts to plan and design studies to elucidate molecular phenotypes of cellular health, rejuvenation and reprogrammingProcess internal and external NGS sequencing data according to Altos’ standardsIndependently analyze internal and external NGS sequencing dataAnalyze single-cell data covering the entire workflow from raw data to read/counts, data normalization and transformation, dimensionality reduction, cluster analysis, differential expression, trajectory analysis, enrichment analysisEmbed analyses and visualizations in automated and bespoke reportsBuild interactive dashboards for data visualization and explorationPartner with other computational scientists to establish automated, robust and efficient analytical pipelines for reproducible researchStay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approachesWho You Are
Minimum Qualifications
PhD in a quantitative field (e.g. computational biology, mathematics, physics) with significant biological background OR a PhD in the life sciences with significant computational experienceExtensive knowledge of NGS data analysisExperience with spatial transcriptomicsExperience with implementing workflows using NextflowProficiency in Python and/or R. Hands-on skills using data science packages (Pandas, Scikit-learn, NumPy, Tidyverse, Caret)Statistical analysis backgroundExcellent communication skills. Ability to present complex computational methods to non-expertsEstablished ability to translate biologists’/project team’s scientific questions into analytical strategies and methodsStrong collaboration skills and ability to work as part of a team in an international and interdisciplinary environmentOutstanding organizational skills and the ability to work independentlyPreferred Qualifications
Knowledge of single-cell sequencing technologies and analytical techniquesExperience with variant calling methodologiesExperience with long read sequencing (Nanopore, PacBio)Experience with cloud providers (e.g. AWS)Comfortable working in command line/Linux environmentsBackground in cellular rejuvenation and reprogrammingFamiliarity with publicly available single cell data resourcesThe salary range for Cambridge, UK :Exact compensation may vary based on skills, experience, and location.What We Want You To Know
We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation.Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief).Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.
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