Member of Technical Staff: Computational Biology

The posting, as Radical Numerics wrote it

ABOUT US

Radical Numerics http://radicalnumerics.ai is an AI research lab building general biological intelligence. Our mission is to master the code of life, and our purpose is to reduce human suffering.

Our team created Evo, and started the field of generative genomics. Our work was featured on the cover of Science https://www.science.org/doi/10.1126/science.ado9336, and presented by our CEO on the main stage of TED2025 https://www.youtube.com/watch?v=EnbfoFUFm2s. Evo was used to create the first AI-generated CRISPR-Cas9, and the first AI whole genome https://www.biorxiv.org/content/10.1101/2025.09.12.675911v1 from scratch. Evo 2 https://www.nature.com/articles/s41586-026-10176-5, featured in Nature, is the largest fully open source AI project across any domain.

In October, we introduced Omnii-1, the world's most advanced multimodal genome language model, and a leap toward general biological intelligence. It unifies 28 biological modalities, spanning DNA, RNA, proteins, epigenomics, and more, in a single model trained on trillions of tokens of biological data In a world first https://x.com/exnx/status/2112580926651904379, Omnii-1 designed the first AI-generated bacteriophages to be administered to a human patient with an antibiotic-resistant infection under compassionate use. We released this news alongside seven other project areas https://www.radicalnumerics.ai/radical-advances, showing the model’s breadth of applications.

The same generative breakthroughs that enable life-saving cures also lowers the barrier to creating engineered threats and AI-generated bioweapons. We believe these forces are inseparable. Radical Numerics was founded to develop both the power to design and the responsibility to defend.

ABOUT THE ROLE

Bring deep biological expertise to the data, tasks, and analyses behind our models. You will turn questions in genomics, gene regulation, protein biology, or systems biology into well-defined computational work and use sound judgment to interpret the results.

The role can be shaped around a strong specialty, including data curation, bioinformatics pipelines, or model evaluation. You will partner with model researchers and experimental collaborators to build datasets and analyses that support useful scientific work.

WHAT YOU WILL DO

• Curate and integrate large biological datasets, with clear provenance, quality control, and documented assumptions.
• Build reproducible bioinformatics and analysis pipelines across sequencing data, functional genomics data, single-cell data, perturbational screening data, protein data, or other data relevant to your specialty.
• Help design data mixtures and sampling strategies for model training. Investigate how dataset composition, assay effects, duplication, and biological coverage affect downstream results.
• Define biologically meaningful tasks, endpoints, and baselines with modeling and evaluation teams. Investigate model predictions and failure modes in the c

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main, with strong scientific judgment and careful attention to data quality and experimental details.

• Strong Python or R programming skills and experience building reliable, reproducible scientific analyses or software.
• Ability to work between biology, machine learning, and engineering and communicate assumptions, results, and limitations clearly.
• Experience working with agentic coding tools.

NICE TO HAVE

• Experience with large-scale biological data curation, data mixing, or bioinformatics infrastructure.
• Experience with biological foundation models or research contributions, datasets, methods, or software used by other scientists.

Radical Numerics is committed to equal employment opportunity and does not discriminate in any employment opportunities or practices based on an individual's race, color, creed, gender (including gender identity and gender expression), religion (all aspects of religious beliefs, observance or practice, including religious dress or grooming practices), marital status, registered domestic partner status, age, national origin or ancestry (including language use restrictions and possession of a driver’s license issued under California Vehicle Code section 12801.9), natural hair, physical or mental disability, political affiliation, medical condition (including cancer or a record or history of cancer, and genetic characteristics), sex (including pregnancy, childbirth, breastfeeding or related medical condition), genetic information, sexual orientation, military and veteran status or any other consideration made unlawful by federal, state, or local laws. It also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.

Radical Numerics participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.