(i) Develop and optimize expression systems for complex proteins across multiple host platforms (e.g., mammalian, microbial, cell-free).

(ii) Implement high-throughput and AI/ML-driven strategies to improve protein yield, solubility, and quality.

(iii) Drive projects from construct design through scale-up and purification, serving as technical lead through candidate selection and optimization.

BS/MS/PhD in biological science plus recent protein or antibody engineering; skills in structural biology, biochemistry, or molecular biology; and publication record (if applying for postdoc or staff scientist position). Experience with multi‑specific formats and structure‑guided design is a plus.

1 staff scientist
1 MS/PhD

(i) Analyze single‑cell omics, genetic screens, imaging and human genetics to uncover disease mechanisms and nominate new targets

(ii) Craft reverse‑translation strategies with Translational Medicine to mine clinical‑trial samples

(iii) Act as computational lead on pipeline programs and deploy cutting‑edge AI models in collaboration with our industry and academic partners.

Interest in patient-tissue or CSF atlases, RNA isoforms and genetics-based target prioritization, and cellular neuro-disease models; publication record (for postdoc) and collaborative mindset.

We also welcome applicants with a background in Computer Science who are interested in applying computational methods to these areas.

1 staff scientist
2 MS/PhD

(i) Integrate multi‑omics, imaging, and protein‑engineering data streams

(ii) orchestrate automation workflows; and liaise with external CRO/CDMO and industry partners to keep projects on track.

BS/MS/PhD with cross-disciplinary expertise in biochemistry and data science, demonstrated project management experience, and excellent communication skills.

1 postdoc