Research Assistant - Next-Generation Clinically Relevant Models of Fibrosis and Wound Healing (MFW)

Job Offer #2026-RDG-J02 [Ridgefield] Research Assistant - Next-Generation Clinically Relevant Models of Fibrosis and Wound Healing (MFW)

Job Offer #2026-RDG-J02 open until June 15, 2026

Research Assistant - Next-Generation Clinically Relevant Models of Fibrosis and Wound Healing (MFW)

28 days left to apply!

About BioMed X & XSeed Labs

BioMed X is a leading innovation hub for pharma. With our global network of research institutes at top universities and incubators within pharmaceutical companies, we bridge the gap between academia and industry.

We are pioneers in applying the principles of design thinking and crowdsourcing to drug discovery and development. With our unique model, we identify key challenges across all therapeutic areas, recruit top academic talent, and co-create tailored solutions with our pharma partners.

In our stimulating ecosystem, early-career researchers grow into future scientific leaders. They perform exploratory research, deliver industry-grade results, and pave the way to next-generation therapies. At BioMed X, we value curiosity, diversity, and purpose. Our goal is to serve as a vital catalyst for innovation in global health for the benefit of all patients.

XSeed Labs at BioMed X USA, located on the campus of Boehringer Ingelheim in Ridgefield, Connecticut, is an enthusiastic and dynamic group of top-level scientists dedicated to developing the next generation of organ-on-a-chip models for modeling fibrosis and wound healing.

About Team MFW

The goal of our team, led by Dr Lorenzo Talà, is to create advanced models that recapitulate human physiology, allowing for drug discovery tailored to humans without the need for animal experimentation.

The primary aim of this project is to create models that closely mimic human physiology, enabling more efficient and effective drug discovery processes. The team is dedicated to developing the next generation of organ-on-a-chip models for modeling fibrosis and wound healing.

Job Description

We are seeking a Research Assistant to join our team and contribute to the development of the next-generation in vitro and prediction models of fibrosis and wound healing by performing the following tasks:

Assist in analysis of experimental results using bioinformatics tools

Develop a knowledge graph based model

Assist in wet lab experiments when needed

Presentation of scientific results to stakeholders

Flexibility to adapt to a broader range of responsibilities when necessary

Required Skills

Our ideal candidate will possess the following qualifications and skills:

BSc or MSc degree in Data science, Bioinformatics, Bioengineering, Biomedical sciences, or equivalent

Proficiency in data science (Python/R, statistics, machine learning)

Strong experience in bioinformatics, particularly single-cell RNA sequencing (scRNA-seq) analysis

Hands-on experience with graph databases (e.g., Neo4j) and query languages such as Cypher

Experience with data modeling and knowledge graph development

Strong teamwork and collaboration skills

Additional (preferred) Skills

Candidates with expertise in the following areas will be given preference:

Familiarity with biomedical ontologies and biological network analysis

Ability to integrate biological and computational data

Interest in learning wet lab practices

What We Offer

The position is fully funded by Boehringer Ingelheim.

International, diverse, and positive work atmosphere with a flexible working environment.

NIH-Aligned salary with employee benefits plan

Access to a vast scientific network

Candidates Are Requested To Submit