Sr. Scientist, Spatial Biology

WHY NOETIK

NOETIK is a frontier therapeutics company harnessing AI to deeply understand human biology and redefine clinical outcomes in oncology. Leveraging the largest proprietary multimodal oncology dataset of its kind, uniquely integrating deep spatial profiling with routine clinical assays, NOETIK’s foundation AI models precisely match therapeutic targets to patient subpopulations and accurately predict clinical efficacy. This AI-first approach elevates therapeutic development from probabilistic guesswork to precision science.

In this role, we are seeking a highly motivated and detail-oriented Senior Scientist to join our team at the frontier of spatial biology and AI, driving hands on execution, protocol development, and quality standards for spatial biology experiments on human tissue samples in a lab built to fuel next-generation AI models. The ideal candidate will have deep hands-on experience with in situ hybridization & proteomics techniques, spatial data analysis and demonstrate strong troubleshooting, mentorship, and organizational skills.

This is an exciting opportunity to contribute to a multidisciplinary laboratory environment at the interface between Spatial Biology and AI model generation.

As we scale up our data generation engine, this role is focused on driving impact through day-to-day execution, troubleshooting, and quality enforcement across a high volume of runs.

KEY ROLE AND RESPONSIBILITIES

• Independently plan, perform and troubleshoot spatial biology experiments on human tissue samples.
• Establish and enforce data quality standards across the team's experiments and analysis pipelines.
• Mentor and train team members on technique, rigor, and quality judgment.
• Collaborate closely with cross-functional teams including Histology, and Scientific Operations to ensure seamless project execution.
• Actively participate in lab team meetings, fostering a collaborative and innovation-driven culture.
• Lead cross-functional projects with Engineering and ML Team members to design the next generation of data for AI model training.

REQUIRED EDUCATION & EXPERIENCE

• PhD in molecular biology, genomics, cell biology, biomedical engineering, or a related field.
• 2-5+ years of industry hands-on experience with spatial transcriptomics (Cos Mx, Xenium, MERFISH…); direct Cos Mx experience strongly preferred.
• Experience with spatial proteomics platforms (e.g., Cos Mx Protein, Akoya Pheno Cycler, Lunaphore..) and immunofluorescence panel design are highly desirable.
• Proven ability to independently troubleshoot wet-lab and imaging-based assay failures, tracing issues back to root cause.
• Solid knowledge of spatial transcriptomics data QC metrics: transcript count distributions, segmentation quality, dropout/housekeeping-gene diagnostics, batch effects, and spatial artifacts.
• Comfortable enforcing standards across a team that includes both junior and more senior colleagues — this role requires leadership as well as technical skill.
• Excellent organizational, communication (oral and written), and documentation skills.
• Computational fluency.

Nice to have:

• Familiarity with cancer tissue biology and identity marker panels.
• Proficiency with Python or R for data analysis.
• Prior experience mentoring or informally leading junior lab staff.

Great science is a team sport. We are focused on creating a culture where brilliant people from different backgrounds can solve hard problems together. At Noetik, culture isn't just about perks; it’s about building a vibrant, collaborative community where everyone has the tools and the autonomy to thrive.

Location &

Collaboration:

our primary lab and office space is located in South San Francisco. We operate as a hybrid organization
, utilizing Slack, Zoom, and a modern…