Principal Scientist Computational Biology

Barrington James; Boston (MA); Sur place; USD 180 000 - 250 000; Plein temps

Résumé du poste

Barrington James is partnering with a well-funded clinical-stage biotech startup in Boston seeking a Principal Scientist – Computational Biology to own the computational strategy for a cell therapy project.

You will build pipelines from scratch, define analytical standards, and work directly with the CTO. Initially you’ll be an individual contributor with the long-term goal of forming a dedicated computational biology team.

Qualifications

• PhD in Computational Biology, Bioinformatics, Genomics or a related field.
• Strong experience with human genomic data (WGS/WES) and interpretation.
• Experience with iPSC/PSC or related human cell systems.
• Proficiency in Python and building reproducible pipelines.
• Experience in cloud/HPC environments and modern software practices.

Responsabilités

• Own the computational biology roadmap and decide what to build internally vs externally.
• Develop reproducible pipelines and scalable data workflows from scratch.
• Apply statistical modeling and machine learning where appropriate.
• Collaborate with CTO and cross-functional teams to integrate genomic data with process and product data.
• Lead as hands-on contributor with a view to building a team in the future.

Connaissances

Python

Cloud/HPC

Genomics data analysis

Machine learning

Version control

Formation

PhD in Computational Biology/Bioinformatics

Outils

GATK

scRNA-seq analysis tools

Description du poste

Principal Scientist – Computational Biology | Boston, MA

I’m working with a well-funded, clinical-stage biotech startup developing an innovative cell therapy for Parkinson’s disease, and they’re looking for a senior computational biologist to take ownership of the computational strategy behind the product.

This is a high ownership, build from scratch opportunity. You wouldn’t be joining a large established bioinformatics team with predefined workflows, you’d be coming in as the computational biology owner, working directly with the CTO and helping define how computational biology is done across the company.

What you’ll own:

• Whole-genome / targeted sequencing
• Variant calling and interpretation
• Genomic integrity and stability
• CNV / structural variant analysis

Transcriptomics & product characterisation

• Single-cell RNA-seq
• Bulk RNA-seq
• Cell population and differentiation characterisation
• Understanding changes across the iPSC → therapeutic product journey

Computational infrastructure

• Building reproducible, version-controlled pipelines from the ground up
• Python and modern software engineering practices
• Data integration and computational workflows
• Applying statistical modelling / machine learning where appropriate

You’ll be responsible for defining the computational biology roadmap, deciding what needs to be built internally vs externally, establishing analytical standards and helping connect genomic, transcriptomic, process and product data.

You’ll initially be a hands-on individual contributor, but the longer-term vision is to build a computational biology team around you as the function grows.

Requirements:

• PhD in Computational Biology, Bioinformatics, Genomics or a related field
• Strong experience working with human genomic data
• Depth across areas such as WGS/WES, variant interpretation, CNV/SV, scRNA-seq or bulk RNA-seq
• Experience with iPSC/PSC, stem cells or comparable human cell systems
• Strong Python / computational skills
• Experience building reproducible pipelines and working with cloud/HPC environments
• Ideally exposure to cell/gene therapy, regulated genomics or genomic safety
• Someone who enjoys operating with significant autonomy and ambiguity

This is a great opportunity for someone who wants to move beyond being one part of an established computational team and instead own the function, define the strategy and eventually build the team around them.