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Full-Time

Machine Learning Scientist

Confirmed live in the last 24 hours

NewLimit

NewLimit

11-50 employees

Develops epigenetic reprogramming medicines

Hardware
AI & Machine Learning
Biotechnology

Compensation Overview

$145k - $200kAnnually

Senior, Expert

San Bruno, CA, USA

Category
Applied Machine Learning
AI & Machine Learning
Requirements
  • PhD in Machine Learning, Computer Science, Computational Biology, or related field or equivalent industry experience (2+ years)
  • Experience with machine learning applications to diverse cell biology/multi-omics datasets
  • Demonstrated ability to enable team members with high quality code and artifacts
  • Highly self-motivated, intellectually curious, and excited to thrive in a fast-paced, multidisciplinary, and team-oriented start-up environment
Responsibilities
  • Work closely with genomics, sequencing, and molecular biology experts to integrate internal and external datasets to drive experiment design and predict the outcome of the next rounds of experiments
  • Develop and apply novel machine learning capabilities to model the results of functional assays and large-scale pooled-perturbation screens using single-cell multi-omics (mRNA + ATAC, scCUT&TAG) data
  • Serve as a technical expert, taking responsibility for the execution of sophisticated predictive modeling projects and directly influencing company-level decisions
  • Contribute to the design, decision making, and implementation of NewLimit’s technology platform

NewLimit stands out as an exceptional place to work due to its pioneering efforts in the realm of aging cell rejuvenation using epigenetic reprogramming factors. At this cutting-edge biotechnology firm, employees contribute to groundbreaking research focused on restoring function in the aging immune system, leveraging functional genomics, pooled perturbation screening, and advanced machine learning models. Working here offers a unique opportunity to be at the forefront of biological research that tackles some of the most pressing challenges in healthcare related to aging and disease.

Company Stage

Series A

Total Funding

$40M

Headquarters

South San Francisco, California

Founded

2022

Growth & Insights
Headcount

6 month growth

22%

1 year growth

50%

2 year growth

58%