Scientist I, Computational Biology

What You Will Contribute To Altos

Lab Description

The 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.

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.

Responsibilities

The Scientist or Senior Scientist in this position will be expected to lead the 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. 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, and contribute to seminars and other scientific initiations within Altos as well as a wider scientific community.

Who You Are

• We are open to candidates with a range of experience, as the position can be filled at the Scientist I, Scientist II, or Senior Scientist level. The level of the position will depend on the qualifications of the selected candidate.

  Minimum Qualifications

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

  Preferred Qualifications

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

The salary range for San Diego:

• Scientist I: $131,750 - $178,250
• Scientist II: $155,000 - $214,800
• Senior Scientist: $179,000 - $246,000

Exact compensation may vary based on skills, experience, and location.

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

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