Technical Lead - Bioinformatics (Single-Cell & Spatial Data Analytics)

Location: Remote (East Coast Time Zone - ESSENTIAL)

Job Summary:

We are seeking a highly skilled Technical Lead - Bioinformatics to join our expanding team in the USA. In this role, you will provide technical leadership, guide clients on advanced data analytics, and serve as the technical face of the company. You will drive innovative bioinformatics projects with a focus on single-cell and spatial data technologies, integrating data across multiple platforms.

As a key player, you will support clients through every phase of their projects, leading technical presentations and collaborating closely with internal teams, including executive leadership.

This is a high-visibility position where you will manage end-to-end bioinformatics for cutting-edge projects, integrating multi-modal data such as Xenium, MERscope, spatial transcriptomics, and spatial proteomics.

Your expertise in single-cell and spatial technologies will help guide the development of solutions that keep our company at the forefront of the field.

Key Responsibilities:

Provide Technical Consultation: Serve as the expert guide in custom data analytics, specifically in single-cell and spatial data technologies.
End-to-End Bioinformatics Support: Manage the entire lifecycle of bioinformatics projects, from data acquisition to analysis and reporting, with a focus on single-cell and spatial data.
Cell Segmentation & Data Integration: Perform advanced cell segmentation (per-pixel, machine learning, or molecular coordinate-based) and integrate diverse imaging data (IHC, smFISH, H&E) with Visium and scRNAseq.
Cross-Platform Data Integration: Combine data from multiple spatial platforms (e.g., Xenium, CosMx, MERSCOPE, spatial proteomics).
Advanced Spatial Analysis: Conduct advanced analyses including co-expression, network mapping, cell-cell communication, and microenvironment studies.
Single-Cell & Spatial Transcriptomics Collaboration: Work closely on single-cell and spatial proteomics/transcriptomics projects (e.g., Vizgen MERSCOPE, MERFISH).
Client-Facing Role: Represent the company during technical client calls and presentations, guiding the client with expert insights and solutions.
Technical Leadership: Collaborate with the leadership, Bioinformatics and wet-lab teams, particularly supporting and guiding internally on all technical aspects.
Entrepreneurial Mindset: Take initiative in growing the bioinformatics team, ensuring the company stays at the cutting edge of the field.

Qualifications:

PhD or MSc in Bioinformatics, Computational Biology, or a related field, with extensive experience in single-cell and spatial data analytics.
Expertise in Spatial and Single-Cell Technologies: Proficiency with at least two of the following technologies: Xenium, MERscope, spatial proteomics, CosMx, Visium, smFISH, H&E, or scRNAseq.
Client-Facing Experience: Proven ability to communicate complex technical concepts to non-experts, lead client meetings, and deliver presentations.
Preferred Experience in Multiplexed Spatial Proteomics: Candidates with knowledge or experience in single-cell multiplexed spatial proteomics will be highly preferred.
Leadership & Collaboration: Demonstrated ability to lead technical teams and collaborate closely with internal and external stakeholders.
Data Integration Skills: Strong ability to integrate and analyze spatial transcriptomics and proteomics data, with a deep understanding of the benefits and limitations of various platforms.
Strategic Thinking: Understanding of the company’s vision and ability to contribute to strategic decisions related to technology development and project execution.

Growth Opportunity: Depending on your expertise and performance, there will be opportunities for further leadership development, including participating in strategic conversations with investors etc.

This role is for an individual contributor and highly autonomous, expert Bioinformatician.

This role can be done predominately remotely with trips onsite when needed

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Technical Lead Bioinformatician - Single Cell And Spatial Data Analytics