Single-Cell Deep Learning Scientist

About Immunai:

Immunai is a data & engineering-first platform company dedicated to transforming therapeutic decision-making, from drug discovery to clinical trials. Leveraging our vast clinico-immune database alongside advanced machine learning algorithms, we map the immune system with unmatched scale and detail. This empowers us to offer end-to-end solutions to our pharma partners - from data generation to therapeutic innovation to clinical trial optimization. In an era where AI and drug development are converging, we strive to accelerate the delivery of breakthrough medicines to patients, ensuring a healthier future for all.

About the role:

As a Deep Learning Scientist at Immunai, you will join our Machine Learning team to research, build, and deploy our core single-cell representation models. These models synthesize large amounts of molecular data and metadata, linking therapies, indications, data modalities, and biological systems to drug trial results. Your purpose will be to influence drug development decisions based on the prediction of the team's models.

You'll tackle the challenge of modeling varied big data from millions of cell-specific measurements, focusing on, but not limited to, advanced transformer architectures. You will collaborate closely with an experienced ML team, computational biologists, and immunologists to ensure the success and broad application of our models in both internal and external projects at Immunai.

Location: Tel Aviv, Israel

What will you do?

Research, develop, and deploy state-of-the-art and classic machine learning models based on single-cell data from immunological datasets
Develop and own scalable production pipelines driven by the core models
Stay updated on latest advancements in single-cell omics and machine learning research
Collaborate with stakeholders across software engineering, computational biology, and immunology to successfully apply ML models for impacting clinical trials
Mentor and provide technical guidance to team members

Requirements:

Required Qualifications:

Proven track-record in single cell genomics is a must
MSc or Ph.D. in computer science, bioengineering, computational biology, or related discipline - MSc + 5 years of relevant industry experience or PhD with 0-4 years of relevant industry experience, specifically hands-on deep learning experience
Demonstrated experience leading projects using custom deep learning models to solve biological problems
Strong technical abilities in Python and ML libraries (PyTorch, sklearn, an advantage: DeepSpeed/Zero or similar)
Evidence of engagement with open source projects and community
Excellent written and verbal communication skills

Desired personal traits:

You want to make an impact on humankind
You prioritize “We” over “I”
You enjoy getting things done and striving for excellence
You collaborate effectively with people of diverse backgrounds and cultures
You have a growth mindset
You are candid, authentic, and transparent

*Please note that when you apply for a position at Immunai, your application will be processed via our recruitment platform Comeet. You can read more about how we process personal data here: https://www.immunai.com/privacy-policy/