Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it.
The Team
Our immune cell reprogramming team integrates foundational research on immunology and disease biology with AI-modeling to develop engineered cells that harness our own immune system to detect and treat early signs of age-related diseases, like cancer, Alzheimer’s, and Parkinson’s. These technologies will enable precise, context-dependent therapeutic responses only when and where it is needed.
Our work brings together three powerhouse universities—Columbia University, The Rockefeller University, and Yale University—into a single collaborative technology and discovery engine.
Our Vision
- Pursue large scientific challenges that cannot be pursued in conventional environments.
- Enable individual investigators to pursue their riskiest and most innovative ideas.
- Facilitate research by scientists and clinicians at our home institutions and beyond.
The Opportunity
Biohub is seeking a detail-oriented and collaborative Research Associate to support the development and operation of a Multiomics and Immune Profiling Lab (MIP Lab) situated inside Yale University (in the Biohub Yale Annex).
The MIP Lab will implement high-throughput multiomics and immune profiling including multimodal single cell profiling, as well as genetics and environment perturbation experiments with readouts from single-cell genomics and high-dimensional spatial profiling. This position is ideal for someone who is passionate about cutting-edge molecular technologies and thrives in a team-oriented, large-scale project environment.
What You'll Do
- Lab Operations: Set up and maintain laboratory equipment and workflows for single-cell genomics and multiomics applications.
- Experimentation: Execute complex single-cell genomics experiments and coordinate sample processing with collaborating investigators and core facilities.
- Optimization: Establish, troubleshoot, and optimize experimental pipelines and standard operating procedures (SOPs) for molecular and genomic technologies.
- Data & QC: Perform quality control and preliminary computational analysis of genomic data to support experimental troubleshooting.
- Documentation: Maintain detailed documentation of protocols, experimental conditions, and results.
- Collaboration: Work closely with staff scientists, bioinformaticians, and other team members; interact with collaborators, PIs, and external biotechnology contacts.
- Safety & Mentorship: Interact with EHS officers to ensure safe lab operations and contribute to the training of junior team members.
What You'll Bring
Essential
- Education: Bachelor's or Master's degree in biology, molecular biology, biochemistry, genomics, bioengineering, or a related field.
- Experience: 1 year of hands-on experience with molecular biology techniques and genomic technologies, particularly single-cell analysis.
- Technical Skills: Experience with genomic library construction and next-generation sequencing (NGS) workflows.
- Computational Skills: Working knowledge of bioinformatics tools and basic programming (Python and/or R) for data processing and QC.
- Mindset: Enthusiasm for technology implementation and large-scale project coordination.
Nice to Have
- 3+ years of relevant research experience, or a PhD in a relevant field with a keen interest in hands-on multiomics work.
Compensation
The New Haven, Connecticut base pay range for a new hire in this role is $68,000.00 – $93,500.00. Actual placement in the range is based on job-related skills and experience.
Benefits for the Whole You
- Generous employer match on 401(k) contributions.
- Paid time off to volunteer at an organization of your choice.
- Funding for select family-forming benefits.
- Relocation support for employees requiring assistance moving.
