Computational Scientist
Single-cell Genomics and AI
Posted on 10/27/2023
Altos Labs

201-500 employees

Biotechnology firm focused on cellular rejuvenation to reverse disease and
Company Overview
Altos Labs is a unique convergence of academia and industry, providing an environment where leading scientists, clinicians, and leaders can collaboratively tackle challenging problems in biology, specifically cellular rejuvenation. The company's culture promotes intense collaboration, enthusiasm, and openness, fostering an ideal setting for the development of transformative medicines. With operations in the US and the UK, and significant collaborations in Japan, Altos Labs stands out for its global reach and its board of directors and advisors that include Nobel Laureates and scientific leaders.

Company Stage

Series E

Total Funding





Redwood City, California

Growth & Insights

6 month growth


1 year growth


2 year growth

San Diego, CA, USA
Experience Level
Desired Skills
AI & Machine Learning
  • PhD in Computational Biology, Computer Science or a related discipline
  • Track record of publications in peer-reviewed journals
  • A strong interest in conducting genomics research in a highly collaborative setting
  • Knowledge of statistical methods, probabilistic modeling techniques, and machine learning methods
  • Excellent written and verbal communication skills; Ability to explain complex concepts to researchers outside of your immediate field
  • Good organizational skills to effectively move forward collaborative projects
  • Ability to thrive in collaborative scientific environments, come up with original and pragmatic solutions
  • Collaborate with experimental groups to design, analyze, and interpret multi-omics data on homeostasis, aging, disease, and rejuvenation
  • Develop new computational methods for analysis of single-cell and spatial-omics data
  • Devise approaches to investigate cell communications, control of proliferation and cellular fates within human and animal tissues
  • Analyze molecular determinants of cellular state, including epigenetic and regulatory mechanisms
  • Bring computational and machine learning thinking to bear on Altos' mission and challenges
  • Continuously learn and stay up to date on the both biological and relevant computational literature to help generate new insights
Desired 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 a subset of the following: deep learning techniques, variational optimization, generative models, graph neural networks
  • Familiarity with multi-omics integration or spatial transcriptomics analysis