Who Are We?

Enzymit is a cutting-edge computational protein design company developing a novel platform for enzyme design.

Traditional chemical production is expensive and environmentally destructive.

Living organisms have been producing many types of substances with close to zero pollution and with incredible efficiency.

Through the use of sophisticated computational tools, we are harnessing life’s molecular machines to transform traditional chemical production

Our enzymes enable the production of materials that were considered unattainable by traditional chemistry.

Our technology combines computational biophysical models with statistical and machine learning approaches enabling us to design novel enzymes. We build and deploy these computational modules using a scalable cloud computing infrastructure and complement their predictions with results from our proprietary high-throughput experimental screening platform. We utilize advanced computing architectures based on high-performance GPUs and investigate novel methodologies in biophysical modeling and deep neural networks.

We are a seed-stage company and have raised its seed round of USD $5M led by top-tier investors.

We’re looking for a Computational structural biologist to join our team in Ness-Ziona (Israel). You should join us if you want to learn and help develop state-of-the-art techniques for discovering structure-guided insights into enzymes. You will interface with Enzymit's core team of computer scientists and experimental biologists as well as our external partners.

Position 1: Computational Structural Biologist
 
Responsibilities

  • Design novel enzymes, or alter existing enzymes specificity using our computational protein design platform potentially with industry or government partners.

  • Data analysis and visualization for reports/presentations, delivery to partners

  • Summarize and discover novel research on protein and enzyme design, high-throughput screening, to guide our experimental and computational teams.

  • Work side-by-side with chemists, biologists, computer scientists, and software developers to develop new methods for protein design and execute existing ones.

  • Assist in the collection/curation of biological datasets (sequence, structure, function data) for machine learning initiatives

  • Identification of platform limitations and development of research strategies to resolve these issues.

Requirements

  • Peer-reviewed publications on protein engineering, design, structure and function

  • Experience with molecular modeling software (e.g. Rosetta)

  • Familiarity with molecular visualization software (e.g. PyMol)

  • Scripting experience (Python) and knowledge of biology data formats (PDB,Fasta,Genbank)

  • Good understanding of bioinformatics tools such as Blast, HMMER, - when and how to use them.

  • Familiarity with NGS analysis pipelines

Position 2: Machine Learning Scientist

Responsibilities
  • Develop novel algorithms for protein design and prediction, leveraging the most advanced ML/DL algorithms

  • Data analysis and visualization for reports/presentations, delivery to partners

  • Work side-by-side with chemists, biologists, computer scientists, and software developers to develop new methods for protein design and execute existing ones.

  • Assist in the collection/curation of biological datasets (sequence, structure, function data) for machine learning initiatives

 

Requirements

  • Minimum of MSc/PhD in Computer Science or an equivalent field

  • We train neural networks to work at scale. An ideal candidate is comfortable with cluster environments and understands the related computer systems concepts (CPU/GPU interactions/transfers, latency/throughput bottlenecks during training of neural networks, CUDA, pipelining/multiprocessing, etc).

  • We are at the cutting edge of deep learning applications. The ideal candidate has a strong understanding of the “under the hood” fundamentals of deep learning (layer details, backpropagation, etc). Additional requirements include the ability to read and implement related academic literature and experience in applying state-of-the-art deep learning models to protein structure and protein sequence.

  • Knowledge of classical ML

  • Experience with Tensorflow, PyTorch or other Deep Learning Frameworks.

  • Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting and Linux environment.

  • Passion for biology / physics - a must!

Position 3: Devops Engineer

Responsibilities

  • Work side-by-side with chemists, biologists, computer scientists, and software developers to develop new development tools and infrastructure

  • Working on ways to scale resource-intensive machine learning computation pipelines

  • Design data and software lifecycle policies

  • Assist in the collection/curation of biological datasets (sequence, structure, function data) for machine learning projects

  • Ensuring that systems are safe and secure against cybersecurity threats

Requirements
  • Minimum of BSc in Computer Science or an equivalent field, MSc with research experience is a plus.

  • Deep understanding of computer and cloud architectures, ability to identify computational bottlenecks in interfaces between CPU/GPU/RAM

  • Deep familiarity with at least one cloud provider

  • Some Familiarity with ML/DL (tensorflow, pytorch) libraries and ML deployment solutions

  • Proficient with git and git workflows

  • Excellent programming skills in python (Web programming,C/C++ - a plus)

  • Passion for biology / physics - a must!

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