---
title: 'Computational Chemist (Machine Learning) I / II at Aralez Bio'
canonical: 'https://feeny.ai/job/computational-chemist-machine-learning-i-ii-aralez-bio-berkeley-spy9at0pxdwk'
type: 'job'
last_seen: '2026-09-11'
---

# Computational Chemist (Machine Learning) I / II at Aralez Bio

- **Company:** Aralez Bio
- **Location:** Berkeley, CA
- **Posted:** 2026-07-23
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/aralezbio/jobs/5368806008

## Job description

## About the Company

We envision a world where we continuously, sustainably, and affordably improve human life with synthetic biology. Our proprietary set of enzymes and our manufacturing approach enables the production of thousands of amino acids that were previously too difficult and expensive to make. These “noncanonical” amino acids that we make are already catalyzing the creation of revolutionary and innovative products that are good for people and the planet.

Our technology outperforms traditional manufacturing approaches by 10–100x across the board. We already sell products to Big 10 Pharmaceutical companies, and our product family includes the key components of multi-billion dollar blockbuster drugs such as Ozempic and Mounjaro.

We are a diverse, passionate, interdisciplinary team that finds joy in building something new that leaves the world better than we found it. We strive to always learn and improve and have a deep desire to capitalize on our creativity and be exceptional at what we do.

## About the role

We're looking for a Data Scientist to help build the machine learning capabilities that will power the next phase of our R&D platform. In this role, you'll report to the Director of R&D and work side-by-side with laboratory scientists, applying machine learning and chemoinformatics to turn experimental data into testable predictions that accelerate scientific discovery. You'll have the opportunity to own models from initial concept through deployment, influence the technical direction of our ML infrastructure, and build scalable data pipelines that become foundational to the team's work.

If you're excited by applying cutting-edge machine learning to real-world scientific problems in a highly collaborative, interdisciplinary environment, this is a chance to have a meaningful impact on both our research strategy and the company's future growth.

This is a full-time, on-site role based out of Berkeley, CA.

## What You’ll Do

- Design, build, and deploy machine learning models to predict chemical properties and support de novo design of small molecules and peptides, taking models from concept through validation and production.
- Own the development and maintenance of scalable data pipelines that ingest, curate, and prepare experimental screening data for machine learning applications, ensuring reproducibility and reliability.
- Partner closely with laboratory scientists to translate experimental questions into machine learning approaches, generate actionable predictions, and prioritize new compounds or target areas for validation.
- Develop and improve the team's machine learning infrastructure, including model training, evaluation, retraining, monitoring, and continuous improvement as new experimental data becomes available.
- Apply chemoinformatics tools and molecular representations to engineer features, evaluate model performance, and improve predictive accuracy across R&D workflows.
- Communicate insights and recommendations through clear visualizations and presentations, helping both technical and non-technical stakeholders understand model performance and scientific findings.
- Contribute to the technical direction of the machine learning platform, collaborating with scientists and other technical team members to identify opportunities for new models, datasets, and workflows that accelerate research.

## What You’ll Bring

- Ph.D. or Master’s in Computational Chemistry, Chemoinformatics, or a related field and 2-4 years of post-graduate experience, with a strong foundation in chemical structure representation and molecular property prediction.
- Proven track record in building and deploying machine learning (ML) and deep learning models to predict chemical characteristics and drive de novo design for chemical compounds with superior properties. Experience working with small molecule or peptide datasets.
- High proficiency with using chemoinformatics toolkits (e.g. RDKit) and molecular descriptors, fingerprints, and structural data curation. Experience with structure or ligand-based tools (e.g. REINVENT) and molecular dynamics simulations is a plus
- Fluent in Python and data science stacks, such as numpy, pandas, scipy. Hands on experience with SQL and managing data pipelines to ensure models are reproducible and scalable.
- Strong communication and interpersonal skills. Able to maintain highly productive working relationships with laboratory scientists to ingest screening data, refine models, and recommend testable predictions.
- Able to work independently to lead efforts and turn conceptual goals into structured data pipelines.
- Experience with data visualization tools to communicate model results and predictions to technical and non-technical stakeholders.

Essential traits:

- Highly collaborative & comfortable with interdisciplinary communication: Success in this role depends on working closely with laboratory scientists and other technical partners to translate scientific questions into machine learning solutions and communicate results that drive research decisions.
- Self-directed and results-oriented problem-solver: You'll be expected to independently identify opportunities, overcome technical challenges, and move projects from concept to implementation while delivering meaningful outcomes in a fast-paced startup environment.
- Able to own and navigate complex and ambiguous tasks: Many of the problems you'll tackle won't have established solutions, requiring you to bring structure to uncertainty, make sound technical decisions, and adapt as new data and discoveries emerge.

## Compensation

Aralez Bio’s salary range for this position is $165,000 to $180,000 per year, based on your performance and experience. In addition, your total rewards package will include equity and benefits.

## Benefits at Aralez Bio

- Medical / dental / vision insurance coverage
- 401k
- Flexible Spending Account
- Paid time off
- Weekly catered lunch
- Professional Development opportunities
- Annual company retreat

## Equal Employment Opportunity

Aralez Bio is an equal opportunity employer and does not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender, sex, and any other group protected under federal, state, or local laws.

We celebrate diversity and are committed to creating an inclusive environment for all employees. Please reach out if an accommodation is needed. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

## About Aralez Bio

## Company Overview
- **One-liner**: Aralez Bio uses a proprietary biocatalysis platform to design and manufacture noncanonical amino acids (ncAAs) for the pharmaceutical industry, enabling greener, cheaper, and faster production of key drug components.
- **Entity Type**: Private (Series A)
- **Headquarters**: Berkeley, California, United States
- **Founded**: 2019
- **Founders**: Dr. Tina Boville (CEO), Prof. Frances Arnold (Nobel Laureate), Dr. David Romney, Dr. Paul Yu-Yang

## Core Business
- **Primary industry/industries**: Biotechnology, Green Chemistry, Pharmaceutical Manufacturing
- **Target customers**: B2B; primarily large pharmaceutical and biotechnology companies developing peptide-based therapeutics. Their customer base includes over half of the "Big 10" pharmaceutical companies.
- **Mission or purpose statement**: "We envision a world where we continuously, sustainably, and affordably improve human life with biocatalysis."

## Products & Services
- **Noncanonical Amino Acids (ncAAs)**: A library of thousands of amino acid building blocks that are key components in blockbuster drugs like Ozempic and Mounjaro. These are produced using a proprietary, single-step enzymatic synthesis process that is faster, cheaper, and greener than traditional chemical manufacturing.
- **Enzyme Platform Technology**: A proprietary platform of engineered enzymes (developed using directed evolution) that enables the production of ncAAs that were previously too difficult or expensive to make. The platform outperforms traditional manufacturing by 10–100x.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total Funding of $12.0M (Series A, closed October 2024)
- **Notable Investors/Partners**: The $12M Series A round was led by **Spero Ventures** with matched investment from **Paladin Capital Group**. Additional investors include Good Growth Capital, Astia Ventures, Heritage Medical Systems, Freeflow Ventures, Impact Science Ventures, Juniper, and Pineapple Group.
- **Growth Signals**: Won the **2026 Excellence in Green Chemistry Award** from the American Chemical Society (ACS). Customers include over half of the Big 10 pharmaceutical companies. Has the largest collection of noncanonical amino acids in the world. Headcount grew +5.9% year-over-year to 27 employees.

## Competitive Advantages
- **Proprietary Enzyme Platform**: Their technology, originating from the lab of Nobel Laureate Frances Arnold, uses directed evolution to create enzymes that synthesize ncAAs in a single step, outperforming traditional chemical synthesis by 10–100x in cost, speed, and environmental impact.
- **Green Chemistry Leadership**: Won the 2026 Excellence in Green Chemistry Award from the ACS, validating their sustainable manufacturing approach which eliminates hazardous solvents and drastically optimizes Process Mass Intensity (PMI).
- **Largest ncAA Library**: They possess the world's largest collection of noncanonical amino acids, providing a significant first-mover advantage and a deep moat in a specialized market.
- **Top-Tier Customer Base**: Their customer list includes over half of the Big 10 pharmaceutical companies, demonstrating strong product-market fit and trust from industry leaders.

## Strategic Focus
- **Scale-Up & Commercialization**: The company is focused on scaling up production of its ncAAs, as evidenced by the recent Series A funding and the hiring of a Process Development Engineer. They are moving from R&D to multi-batch commercial manufacturing at their Berkeley plant.
- **Expanding the ncAA Library**: Continuously using their enzyme platform to expand the world's largest collection of noncanonical amino acids, providing more building blocks for next-generation therapeutics.
- **Green Chemistry Leadership**: Deepening their commitment to sustainable manufacturing, as recognized by the 2026 Excellence in Green Chemistry Award, to become the standard for environmentally friendly pharmaceutical production.

## Why Work Here
- **Mission-Driven Impact**: Employees work at the intersection of cutting-edge biotech and sustainability, directly contributing to greener pharmaceutical manufacturing and the development of life-changing drugs.
- **Culture of Autonomy & Growth**: The company emphasizes giving employees autonomy, equity, and a professional development stipend. The culture is described as collaborative, impact-driven, and "noncanonical"—encouraging innovation and challenging the status quo.
- **Compensation & Benefits**: Offers equity, health coverage, unlimited PTO, catered lunches, and retreats.
- **Work Environment**: Based in Berkeley, CA, with a lab and office presence. The team is small (~27 people), offering significant ownership and visibility. The company is currently hiring for roles in Process Development, R&D Chemistry, and Lab Operations.
- **Leadership & Reputation**: Founded by a Nobel Laureate (Frances Arnold) and led by a CEO recognized as an MIT Innovator Under 35, the company has a strong scientific pedigree and a clear, mission-driven focus.

## Sources
1. [aralezbio.com](https://www.aralezbio.com/)
2. [aralezbio.com/about](https://www.aralezbio.com/about)
3. [linkedin.com/company/aralez-bio](https://www.linkedin.com/company/aralez-bio)
4. [cbinsights.com](https://www.cbinsights.com/company/aralez-bio)
5. [job-boards.greenhouse.io/aralezbio](https://job-boards.greenhouse.io/aralezbio/jobs/5185190008)

## Other roles at Aralez Bio

- [Process Development Engineer, Chemistry](https://feeny.ai/job/process-development-engineer-chemistry-aralez-bio-berkeley-d94bfrr8tdaa) — Berkeley, CA