Postdoctoral Position in Computational Biology and Network Medicine

Complex Systems Society; Boston (MA); On-site; USD 55,000 - 75,000; Full time

Job summary

A leading research institution is seeking a Postdoctoral fellow in Computational Biology and Network Medicine to conduct innovative research focused on childhood asthma. The successful candidate will analyze complex genomic data, employing statistical methods and working in an interdisciplinary team. Candidates must have a Ph.D. in a quantitative field, excellent programming skills in Python or R, and experience with genomic data. This position offers a collaborative environment with significant mentorship opportunities.

Qualifications

• Applicants should hold a Ph.D. in computational biology, bioinformatics, genetics, statistics, or similar.
• Strong programming skills in Python or R are essential.
• Prior experience with handling large datasets is required.

Responsibilities

• Conduct research at the intersection of genomic medicine and computational biology.
• Analyze multi-omic data and develop methods for integrative omics.
• Work in a collaborative research ecosystem with clinicians and geneticists.

Skills

Strong programming skills in Python or R

Experience with large datasets

Analyzing high-throughput genomic data

Communication skills

Adherence to reproducible research standards

Education

Ph.D. in a relevant quantitative field

Job description

Postdoctoral Position in Computational Biology and Network Medicine

Description: The Channing Division of Network Medicine at Brigham and Women’s Hospital and Harvard Medical School is seeking a postdoctoral fellow to conduct research at the cutting edge of genomic medicine, computational biology, and network science. The candidate will analyze multi-omic data and develop statistical and network-based methods for integrative omics to advance our molecular understanding of childhood asthma as part of an NIH-sponsored project. The prospective fellow will be primarily mentored by Dr. Arda Halu (https://halu-lab.bwh.harvard.edu/ ) and work closely with clinicians, geneticists, genetic epidemiologists, and biostatisticians in a highly interdisciplinary and collaborative research ecosystem.

Qualifications: Applicants should hold a Ph.D. in a relevant quantitative field (e.g., computational biology, bioinformatics, genetics/genetic epidemiology, statistics, applied mathematics, physics). They should have strong programming skills in Python or R, and prior experience with handling large datasets and/or analyzing high-throughput genomic data. Additional experience with developing network methods and familiarity with statistical modeling, while not a requirement, is preferred. Strong communication skills and adherence to reproducible research standards are also essential.

How to apply: Candidates interested in applying should submit their CV, the names of two references, and a cover letter to Dr. Arda Halu ([e-mail]).

Additional information: Brigham and Women’s Hospital is a Harvard Medical School affiliated institution, with over 1000 principal investigators.The Channing Division of Network Medicine is a research division within the Department of Medicine whose goal is to define the etiology and reclassify complex disease using network- and systems-based approaches.Our division includes some of the largest population-based and pulmonary cohorts in the world, and an outstanding track record of mentoring.

Brigham and Women’s Hospital is an affirmative action employer. By embracing diverse skills, perspectives, and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Brigham and Women's Hospital strives to keep its workplace safe and secure for the protection of patients, visitors, and staff. Therefore, our offer of employment is contingent upon completion of the following items.

Satisfactory reference checks

Satisfactory criminal background checks

Authorization to work in the United States

Medical clearance from our Occupational Health department

Annual compliance with Mass General Brigham’s Influenza Vaccination Policy

Compliance with Mass General Brigham’s COVID 19 Vaccination Policy

Successful review of the Medicare program's Sanctions and Exclusions List

Verification of education, current licensures and registrations, and credentialing (if applicable)

If you begin work before the results of these checks is determined, it is with full understanding that an unsatisfactory report may lead to termination.

Reference information, including academic and/or employment records, final evaluations and recommendations for future employment will be required.