Young Investigator, Open Language Models for Biology

About the role

Ai2 is seeking a Postdoctoral Young Investigator to work on CellOLMo, a collaboration between Ai2’s open language model researchers and scientists at the Allen Institute. We are looking for a researcher who works at the intersection of machine learning and biology.

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team.

Responsibilities

• Develop a multimodal language model that combines single-cell gene-expression data with text, using an open model such as OLMo.
• Reproduce and evaluate relevant approaches, including scGPT, Geneformer, CellWhisperer, and C2S-Scale.
• Adapt and improve these approaches for brain and neurodegeneration data.
• Design controlled experiments to test whether language grounding improves performance over cell-only and text-free baselines.
• Develop representations at the brain-region and donor levels that incorporate pathology and disease progression.
• Evaluate models on held-out donors using measures such as cell-type and marker recovery, agreement with known patterns of regional vulnerability, and expert review of plain-language answers.
• Work with Allen Institute scientists to interpret results and identify predictions suitable for experimental follow-up.
• Release data, code, and model weights, and prepare the results for publication.

Requirements

• 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.

We also look favorably upon experience in one or more of the following areas: 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.

Qualifications

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

Must be able to remain in a stationary position for long periods of time. The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. The ability to observe details at close range. Can work under deadlines.

Benefits

• 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.

Pay

Compensation: $159,650.00