Scientist/Senior Scientist, Computational Biology, ML/AI

Cambridge, UK

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Altos Labs

Altos Labs is a new life science company focused on cellular rejuvenation programming to restore cell health and resilience, with the goal of reversing disease to transform medicine.

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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 altoslabs.com.

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.

Responsibilities

  • Develop new statistical and machine learning-based methods for querying biological data to produce insights about cell health and rejuvenation.
  • Train and optimize machine learning models on large, complex datasets.
  • Partner with experimental biologists across Altos to help design experiments and interpret their results.
  • Bring computational thinking to bear on Altos’ mission and challenges, ranging from modeling biological phenomena to supporting the research process and culture at Altos through computation and AI.
  • Excitement about the Altos mission of investigating cellular rejuvenation programming to restore cell health and resilience.

Qualifications

  • PhD in Computational Biology or related fields.
  • Experience with machine learning and deep learning models applied to biological data.
  • Strong understanding of machine learning concepts, including model training, generalization and optimization.
  • Strong programming skills in R and Python.
  • Experience with deep learning libraries such as TensorFlow or PyTorch.
  • Working knowledge of cellular and molecular biology.
  • Track record of analysis of -omics data (RNA expression, chromatin accessibility, DNA methylation, etc.).
  • Bonus: Experience in cell health and rejuvenation related research area.
  • Bonus: Proven track record in open-source software development, e.g., demonstrated by high-impact github repository.
  • Bonus: Proven track record of high-caliber scientific work, e.g., demonstrated through publications in peer-reviewed scientific journals.

The job ranges for this position are: Scientist I £51,850 to £70,150; Scientist II £61,000 to £91,800; Senior Scientist £68,000 to £130,980

 

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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 https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/

Tags: Biology Deep Learning GitHub Machine Learning ML models Model training Open Source PhD Python PyTorch R Research Statistics TensorFlow

Perks/benefits: Career development Salary bonus

Region: Europe
Country: United Kingdom

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