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UCHC/JAX Computational Modeling

at The Jackson Laboratory in Bar Harbor, Maine, United States

Job Description

Joint Faculty Recruitment - Computational Modeling

 

The Jackson Laboratory and the University of Connecticut are seeking a joint faculty member with expertise in computational modeling at the Assistant, Associate or Full Professor level to join the faculties of JAX Genomic Medicine and UConn Health's Center for Quantitative Medicine in Farmington, Conn. (primary appointment at UConn Health).

 

JAX Genomic Medicine and UConn Health are specifically seeking to recruit a computational modeling scientist with interest in collaborating closely with immunologists, genomicists, and cancer biologists.

 

Specific Areas of Expertise of Interest to JAX and UConn Health

 

In collaboration with the above-mentioned areas of science, study how host genetics and evolutionary forces shape individual responses to pathogens, cancer cells and/or changing of cellular microenvironments, such as:

 

The evolutionary forces applied to single-cell and population-level mathematical modeling of cell growth and mechanics.

 

Cell-cell interactions to understand the phenomenon of cell competition.

 

The impact of single-cell variability on population growth.

 

How host adaptive immune responses coevolve with pathogens.

 

Multiscale modeling of cellular networks of signaling, regulation, molecular organization, and metabolism.

 

Professional Qualifications

 

Doctoral degree in Mathematics or other quantitative science or other relevant discipline with an emphasis on computational capabilities and postdoctoral training in a relevant area.

 

Demonstrated potential to develop a strong externally funded research program in mathematical modeling.

 

Candidates for the Associate and Full Professor ranks must have a distinguished record of published research, demonstrating significant impact on the profession, and success at securing funding to support research programs.

 

Demonstrated experience managing projects and collaboration is essential.

 

Prior successes in and desire to contribute to team projects on an ongoing basis is required.

 

Experience presenting at conferences and workshops.

 

Strong track record of peer-reviewed publication in reputable scientific journals.

 

Successful record of mentoring and/or teaching.

 

Commitment to diversity, equity and inclusion

 

About JAX:

The Jackson Laboratory (JAX) is an independent, nonprofit biomedical research institution with more than 2,400 employees. Headquartered in Bar Harbor, Maine, it has a National Cancer Institute-designated Cancer Center in Augusta, Maine, a genomic medicine institute in Farmington, Connecticut, and facilities in Ellsworth, Maine, Sacramento, California, and Shanghai, China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

JAX employees work in a collaborative, value-driven, and team-based environment where the focus is on advancing science and improving patients' lives. Researchers apply genetics to increase the understanding of human disease and advance treatments and cures for cancer, neurological and immune disorders, diabetes, aging, and heart disease. JAX was voted among the top 15 "Best Places to Work in Academia" in the United States in a poll conducted by The Scientist magazine!

 

EEO Statement:

The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.

 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.

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Job Posting: 626503

Posted On: Oct 21, 2021

Updated On: Oct 21, 2021