Scientist, Machine Learning Institute of Computation / 14 January 2025

Altos; Cambridge; On-site; GBP 40,000 - 80,000; Full time

Job summary

An innovative firm is seeking a talented individual to contribute to cutting-edge biomedical image analysis and multi-omics data integration. In this role, you will develop advanced Generative AI models and collaborate with a diverse team of scientists and engineers. The position emphasizes the importance of scientific excellence and a culture of inclusion, fostering a collaborative environment where your contributions can significantly impact research and innovation. Join this forward-thinking company and be part of a mission to restore cell health and resilience through state-of-the-art technology.

Qualifications

• 0-5 years of relevant experience in industry or academia.
• Experience with programming languages for data management.
• Hands-on technical leadership and scientific contributions.

Responsibilities

• Develop Generative AI models for imaging and multi-omics data.
• Build and manage analysis pipelines for scientific workflows.
• Collaborate with scientists and software engineers.

Skills

Python

C++

Machine Learning

Bioinformatics

Cloud Computing

Education

PhD in Computer Science/Biomedical Engineering

Tools

Pytorch

TensorFlow

Containerization

Job description

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.

Diversity at Altos

We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.

What You Will Contribute To Altos

The Altos Labs is building high-performance, scalable, quantitative solutions for biomedical image analysis and integration with multi-Omics data. The team work at multiple scales including data from Electron/Light Microscopy, Digital Histology and Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups.

Responsibilities

• Develop Generative AI models for imaging and multi-omics data integration and cross domain mapping of data collected in situ and in vivo.
• Demonstrate software engineering skills to develop reliable, scalable, performant distributed systems in a cloud environment.
• Build, deploy, and manage multi modal analysis pipelines for scientific analysis, and machine learning workflows in an integrated, usable framework.
• Understand scientists' needs across a wide range of scientific disciplines by collaborating with both users and software engineers.
• Bridge the communication gap between experimental scientists, algorithm developers and software deployers.

Who You Are

Minimum Qualifications

• PhD in Computer Science/Biomedical Engineering or related quantitative field.
• Candidates should have 0-5 years of relevant industry and/or academic experience.
• Experience with one or more programming languages commonly used for large-scale data management and machine learning, such as Python, C++, Pytorch/Tensorfllow, Pytorch Lightning etc.
• Previous experience with Machine Learning at scale: Large Language Models and Self-Supervised/Contrastive/Representation Learning for Computer Vision applications and multi modal integration.
• Experience applying software engineering practices in a scientific environment, or another environment with similar characteristics.
• Demonstrated track record of hands-on technical leadership and scientific contributions such as papers or conference communications.
• Excited to design and implement technical and cultural standards across scientific and technical functions.

Preferred Qualifications

• Bioinformatics data processing and analysis.
• Experience with cloud computing and containerization.
• Knowledge of genetics/human genetics

The salary range for Cambridge, UK:

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

- 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.

What We Want You To Know

We are a culture of collaboration and scientific excellence, and we believe in the values of 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 excellence, 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/

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