Career Opportunities


Senior Research Support Associate, Chung Lab – Job ID #15886

POSITION DESCRIPTION: Institute for Medical Engineering and Science and Picower Institute for Learning and Memory, To assist with general operational and research-related tasks within an experimental neuroscience / engineering laboratory working with stem cells, clinical samples, and microfluidics. General operational tasks include maintaining inventory, maintaining stem cell cultures, material fabrication, tissue processing, 3D imaging, and other laboratory or experimental tasks as needed.  The opportunity to contribute to or lead projects is available as competency in various skills is demonstrated. Will work under the supervision of the postdocs and principal investigator.

REQUIREMENTS: A B.S. in bioengineering, biology, neuroscience or a related field preferred. At least 1 year experience working in a laboratory setting is desirable.  Ability to work independently and as part of a team is critical. Strong communication skills and attention to detail are required. Ability to troubleshoot experimental obstacles and exhibit good moral judgment. Cell culture experience and computer skills in Microsoft Office or other computer programming software are highly desirable.

Please apply to the position using job #15886 through the MIT jobs portal at

Research Lab Operations Manager, Shalek Lab – Job ID #15898

Job Overview: Institute for Medical Engineering and Science (IMES), to join the Shalek Lab, which specializes in leveraging novel single-cell genomic approaches to understand the behaviors of complex biological systems with a particular focus on human disease, is searching for a laboratory manager to manage wet lab and research operations at MIT, with some coordination of resources and research projects at the Ragon and Broad institutes. Duties include oversight of budget, personnel, and facilities, as well as serving as primary contact to all laboratory staff including undergraduate and graduate students as well as postdoctoral associates. The position provides an opportunity to practice and gain fundamental skills working in an interdisciplinary and technologically-driven environment.

Principle Duties and Responsibilities:

1. Lab Maintenance/Management:

Manages research laboratory supplies and inventory, including researching, procuring and maintaining supplies and equipment, including maintaining laboratory equipment and instruments, initiating any repairs as needed, organizing laboratory clean-ups and inspections, and managing vendor relationships and service contracts. Manages lab operations and develops new systems and processes to help improve laboratory operations. Troubleshoots issues in the lab and develops solutions to address problems.

Responsible for lab safety management, including acting as the laboratory’s Environmental Health & Safety (EHS) representative, and managing and disposing of chemical, biological, and radioactive wastes following EHS guidelines. Tracks and enforces lab training and safety requirements to ensure laboratory in in compliance with EHS policies and procedures. Assists PI and lab with submission of IRB, CAC, and BRR approvals, amendments, and renewals.

2. Financial:

Approves lab orders and requisitions submitted by the lab at large. Manages laboratory budgets, including following resource allocation for general supplies to keep in line with proposed budgets and working with MIT financial officers to keep budgets in line. Ensures appropriate record keeping on file, including collection and filing packing slips.

3. Research Facilitation:

Responsibilities include working with the PI and lab members to research, write, and submit grants/proposals and assist in collating information for annual grant progress reports. Develops familiarity with key projects in the lab (spanning research questions in autoimmunity, cancer, infectious disease, applied chemistry, and basic biology) in order to participate in and/or oversee research activities of the lab, including coordinating external and internal collaborations, overseeing and managing resource allocation for large, multi-institute collaborative projects, meetings and other events, including determining meeting/event agendas, facilitating lab visits, etc. Assists in developing progress reports about research for internal and external audiences.

4. Personnel Management:

Serves as lab resource to all lab personnel. Liaison to Principal Investigator (PI) on personnel matters. Works closely with PI and lab Administrative Assistant on hiring and onboarding lab personnel. Trains lab members on general lab operations, equipment and protocols, and safety conduct. Ensures lab jobs and lab trainings are completed and updated as needed and as protocols change and provide accountability and continuity across the lab.

Other duties as required.

Requirements: A Master of Science degree with four years of relevant experience, or a doctoral (Ph.D. level) degree in chemistry, biology, and/or genomics. All applicants should have excellent communication skills, strong time management skills for balancing administrative and wet lab duties, demonstrated problem solving capabilities, and the ability to learn quickly. Must be able to work independently, think creatively, and contribute positively to the lab environment. Knowledge of immunology and/or proven experience in technology development is a plus.

Please apply to the position using job #15898 through the MIT jobs portal at

Postdoctoral Associate in Machine Learning for Medicine – Job ID #16007

POSITION DESCRIPTION: MIT’s Institute for Medical Engineering & Science (IMES) has an immediate opening for a Postdoctoral Associate in Machine Learning for Medicine. We are seeking a highly-motivated individual to join a multidisciplinary research team to develop machine learning techniques for medicine, physiological modeling, and treatment decision support.  The project offers opportunities to develop/apply novel machine learning and statistical methods to derive actionable insights from physiological signals as well as complex medical data from electronic health records.  The ideal candidate will have demonstrated an outstanding capability for independent research in advanced machine learning and statistical inference.  Duties will include conducting original research, data assembly and analysis, assisting with writing technical manuscripts, publishing in the peer-reviewed scientific literature, train technical staff and students, and collaborating on the development of research proposals.

In addition to a curriculum vitae, applicants should submit a short statement of research interest as soon as possible, preferably by May 25th, 2018.

REQUIREMENTS: Ph.D. degree in Computer Science, Machine Learning, Statistics, or a related field. Outstanding computing and communication skills are required.   Knowledge and experience in one or more of the following areas would be desirable: deep learning, interpretable models, state space models, dynamical systems, high-dimensional multivariate time series models (longitudinal analysis), causal inference, and reinforcement learning.  Knowledge in physiological signal processing would be desirable, but not required.

Please apply to the position using job #16007 through the MIT jobs portal at