Position Description

Harvard Medical School recently launched DARTS, a nationwide initiative that develops new precision technology to combat antimicrobial resistance. The effort is spearheaded by Johan Paulsson\'s lab in the Systems Biology Department at Harvard Medical School. The broader team includes 25 academic groups, hospitals and companies; it is funded by one of the largest grants in Harvard\'s history: https://hms.harvard.edu/news/hms-researcher-lead-104-million-federal-project-tackling-antibiotic-resistance.
To help DARTS achieve its promise, the Paulsson lab seeks a multi-talented Research Assistant (RA) who will be assisting in experiments at the nexus of high-throughput microscopy, antibiotic discovery, bacterial physiology, and synthetic biology. Research techniques include observing native and engineered bacteria in novel microfluidic devices using cutting edge microscopy techniques, designing genetic circuits for controlling and visualizing the behavior of individual bacteria, and conducting omics- based measurements. The RA will receive close scientific mentorship and also be encouraged to develop their unique scientific interests. They will participate in group meetings and collaborate in writing papers and reports to funding agencies. They will attend seminar series within HMS and take part in the scientific and intellectual life of the lab, Harvard Medical School, and the broader DARTS team
Strong applicants will possess exceptional quantitative reasoning skills. They should be self-motivated and equally adept working independently and bringing their skills to a collaborative and conscientious multidisciplinary team. Designated projects involve working with human clinical samples that contain BSL-2 pathogens, but participation in these projects is elective.
 

Basic Qualifications

• College background or equivalent work experience in Quantitative Biology or a related discipline.
• 1-2+ years of experience.

Additional Qualifications and Skills

• Experience with quantitative microscopy, image analysis, and coding preferred.
• Previous research experience and computational experience is appreciated, but not required.

Additional Information

This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position. 
The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up-to-date on CDC-recommended vaccines.
Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.
The Harvard Medical School is not able to provide visa sponsorship for this position.
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Commitment to Equity, Diversity, Inclusion, and Belonging

We are committed to cultivating an inclusive workplace culture of faculty, staff, and students with diverse backgrounds, styles, abilities, and motivations. We appreciate and leverage the capabilities, insights, and ideas of all individuals. Harvard Medical School Mission and Community Values    https://hms.harvard.edu/about-hms/campus-culture/mission-community-values-diversity-statement

EEO Statement

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.