About Us

MNDL Bio is a pioneering AI-driven synthetic biology startup that develops an engine for designing DNA sequences for efficient protein production. Our platform helps companies and researchers significantly reduce costs and development time. We are already running pilot projects across multiple sectors, including pharma, foodtech, and industrial biotech in locations around the world.

Position Overview

We’re looking for a Senior Bioinformatician to lead design, implementation, and validation of algorithms and data pipelines that power our construct optimization platform. You will translate biological insight into robust, production-grade solutions, spanning sequence design, host-specific optimization, and empirical benchmarking with experimental data from partners. The role involves close collaboration with academia, external partners, and our software development team, with direct impact on product performance and customer outcomes.

Key Responsibilities

1. Develop and maintain production-grade pipelines for sequence processing, feature extraction, and model-ready datasets.

2. Contribute to the algorithmic compute stack alongside engineering (APIs, batch jobs, cloud inference); ensure scalability, robustness, and reproducibility.

3. Partner with external collaborators to define pilot benchmarks, analyze results, and iterate construct designs.

4. Curate and integrate heterogeneous datasets (e.g., expression results, codon usage tables, signal peptides/secretion signals, translation metrics, host-specific reference tables) with strong QC, versioning, and traceability.

5. Stay current on gene expression research (codon bias, regulatory motifs, mRNA structure, translation initiation, secretion systems); evaluate and incorporate what measurably improves outcomes.

Qualifications

1. MSc or PhD in Bioinformatics, Computational Biology, or related field.

2. 8+ years of industry experience building and shipping bioinformatics pipelines or models tied to experimental outcomes (biologics, synbio, or adjacent).

3. Strong Python (data/ML stack) and statistics; experience turning research code into maintainable, tested components.

4. Strong background in sequence analysis and recombinant protein expression; NGS experience is a plus.

5. Data engineering fundamentals: relational/NoSQL stores, schema design for scientific data, and reproducible data lakes.

6. Comfortable working across biology + engineering: writing specs, tests, CI, containers, and reproducible environments.

Why work with MNDL Bio?

1. Join an innovative, breakthrough deep-tech company building foundational technology for protein production, with customer programs and high ownership.

2. Well-funded by leading VCs in Israel and the UK, with a strong runway and ambitious growth plans.

3. Operate in a booming market with clear demand – protein production is a major bottleneck.

4. Work on a real product that sits at the intersection of AI and mechanistic biology.

5. Tackle high-leverage scientific problems where data is limited and experiments are expensive.

Kindly send your CV to: [email protected]