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Computational Scientist, Single-Cell Multi-Omics

Altos Labs
San Diego County, CA
Closing date
Nov 26, 2022

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Science, Life Sciences, Cell and Molecular Biology
Organization Type
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Our Mission

To restore cell health and resilience through cellular rejuvenation programming to reverse disease, injury, and the disabilities that can occur throughout life.

For more information, see our website at

Diversity at Altos

We believe that diverse perspectives are foundational to scientific innovation and inquiry.

We are building a company where exceptional scientists and industry leaders from around the world work side by side to advance a shared mission.

Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives.

At Altos, we are all accountable for sustaining a diverse and inclusive environment.

Altos Labs aims to foster scientific creativity, providing research labs with both resources and freedom needed to pursue fundamental scientific challenges, including the ability of individual labs to publish and present their work for wider scientific community.

Kharchenko lab at Altos Labs San Diego Institute is studying how cells coordinate their activity within complex biological tissues, how these mechanisms break down in disease and injury, and the potential interventions that may improve tissue function. Much of the effort is focused on development and application of novel statistical methods and computational tools for understanding tissue function, including analysis of multi-omics and spatial assays.

What You Will Contribute To Altos

Scientist will be expected to lead development and application of computational methods for analysis of single-cell multi-omics and spatial omics data, in the context of biological studies of different diseases, aging and other processes impacting tissue homeostasis. Particular emphasis will be placed on deciphering cell communications, control of proliferation within tissues, as well as epigenetic regulation of individual cells. Successful candidate will collaborate with both internal and external experimental groups, lead or participate in planning experimental designs, author and contribute to biological and methodological manuscripts, contribute to seminars and other scientific initiations within Altos as well as wider scientific community.

Who You Are

Minimum Qualifications

* PhD in Computational Biology, Computer Science or a related discipline
* Track record publications in peer-reviewed journals
* A strong interest in conducting genomics research in a collaborative setting
* Knowledge of statistical methods, probabilistic modeling techniques, machine learning methods

Preferred Qualifications

* Track record of analysis of genomic data, including RNA, chromatin and DNA modifications, proteins
* Knowledge of single-cell analysis methods
* Experience in developing tools in R or python, experience with relevant repositories
* Working knowledge of deep learning techniques, variational optimization, generative models
* Experience in image analysis and related machine learning methods
* Familiarity with multi-omic integration or spatial transcriptomics analysis


What We Want You To Know

We are a culture of collaboration and scientific freedom, and we believe in the values of diversity, 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 Freedom, Learning, and Belonging.

Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at
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