Young Investigator, Open Language Models for Biology
The Allen Institute for Artificial Intelligence · Seattle, WA
Posted about 3 months ago
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Is this posting real?
- This role has been open
- 81 days The Allen Institute for Artificial Intelligence's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 83% of The Allen Institute for Artificial Intelligence's roles list one
- Ghost-job risk at The Allen Institute for Artificial Intelligence
- high 22 stale, 0 reposted of 24 open
- Hiring momentum
- 37 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from The Allen Institute for Artificial Intelligence's own greenhouse board since 2026-08-03. Full hiring picture for The Allen Institute for Artificial Intelligence.
About this role
The Young Investigator will work on the CellOLMo project, focusing on developing multimodal language models that integrate single-cell gene-expression data with text. Responsibilities include designing experiments, adapting existing models for neurodegeneration data, and collaborating with scientists from the Allen Institute. The role emphasizes open science, requiring the release of code and research findings for the broader community.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of The Allen Institute for Artificial Intelligence as an employer.
What you need
- A completed PhD, or a PhD expected within one year, in machine learning, computational biology, computational neuroscience, physics, or a related quantitative field.
- Hands-on experience training or fine-tuning transformer-based language models.
- Strong Python and PyTorch skills.
- Experience writing reliable, reproducible research code.
- The ability to carry out independent research on open-ended problems.
- The ability to communicate clearly with both machine-learning researchers and biological scientists.
Nice to have
- Single-cell genomics, including scRNA-seq or snRNA-seq.
- Tools such as scanpy, AnnData, or the scVI ecosystem.
- Multimodal models, instruction tuning, or language-model post-training.
- Neurodegeneration, brain atlases, or spatial transcriptomics.
- Public releases of research code, datasets, or model weights.
What you get
- Team members and their families are covered by medical, dental, vision, and an employee assistance program.
- Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
- Team members are able to enroll in our company’s 401k plan.
- Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
- Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
- Team members will be able to receive annual bonuses.
Worth weighing
- On-site work is required in Seattle, which may not suit all candidates.
- The role involves collaboration across disciplines, which may require strong interpersonal skills.
- The project focuses on open science, necessitating a commitment to sharing research outputs.
Summarised from The Allen Institute for Artificial Intelligence's posting. Read the full original.
Listed by The Allen Institute for Artificial Intelligence on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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