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

Job Offer#2026-RDG-J02open until June 15, 2026 Research Assistant - Next-Generation Clinically Relevant Models of Fibrosis and Wound Healing (MFW) 25 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 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 A one-page cover letter highlighting your qualifications and experience that make you a strong fit for this role. An updated Curriculum Vitae Valid US work authorization is required for this position. Please submit your application by adding your updated CV, Cover Letter and references to the attention of Dr. Lorenzo Talà by June 15, 2026, via our online application system: Applicants will be reviewed and interviewed on a rolling basis. At BioMed X we embrace diversity as we consider it the source of innovation. We are committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, ideology, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability. Feel free to reach out if you have any questions: View email address on click.appcast.io To read about us, please visit: Contact XSeed Labs #J-18808-Ljbffr BioMed X GmbH