Postdoc: Computational Lung Immunology & Genomics

Broad Institute of MIT and Harvard; Cambridge (MA); Presencial; USD 70.000 - 93.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Paid holidays

Descripción de la vacante

The Broad Institute of MIT & Harvard is seeking a highly motivated computational Postdoctoral Associate to join the Haber Lab and Klarman Cell Observatory to study cellular processes in the airways and immune defense.

The position emphasizes machine learning and genomics to study lung immunology and environmental health, analyzing high-dimensional sequencing data from human lungs and mouse models. Collaboration with clinicians and immunologists is essential in a dynamic Boston-area environment.

Formación

• PhD or equivalent in computational biology, machine learning, data science, or another quantitative field.
• Strong background in computational or statistical work if coming from biology/medical science.
• Strong interpersonal and communication skills; experience presenting research.
• Excellent problem solving and quantitative analysis skills.

Responsabilidades

• Lead projects using computational and systems biology to analyze high-dimensional sequencing data from human lungs and mouse models.
• Develop new statistical methods and algorithms to map cellular communication and immune interactions in the lungs.
• Collaborate with computational scientists, clinicians, pulmonologists and immunologists to formulate hypotheses and plan experiments.

Conocimientos

Computational biology

Machine learning

Data science

Statistics

Computer science

Artificial intelligence

Mathematics

Educación

PhD in quantitative field

Herramientas

RNA-seq

Descripción del empleo

The Broad Institute of MIT & Harvard is seeking a highly motivated computational Postdoctoral Associate to join the Haber Lab and Klarman Cell Observatory to study cellular processes in the airways and immune defense.

The position emphasizes machine learning and genomics to study lung immunology and environmental health, analyzing high-dimensional sequencing data from human lungs and mouse models. Collaboration with clinicians and immunologists is essential in a dynamic Boston-area environment.