5+ years of leadership experience in a Software Engineering focused environment. Some experience with Agile methodologies; Familiarity with Java and web technology development environments and tools; Experience working directly with project stakeholders for planning and design purposes; Effective communication skills.
This is a 12-month term appointment with the possibility of renewal contingent on funding.
Harvard offers an outstanding benefits package including:
Time Off: 3 - 4 weeks paid vacation, paid holiday break, 12 paid sick days, 11.5 paid holidays, and 3 paid personal days per year.
Medical/Dental/Vision: We offer a variety of excellent medical plans, dental & vision plans, all coverage begins as of your start date.
Retirement: University-funded retirement plan with full vesting after 3 years of service.
Tuition Assistance Program: Competitive tuition assistance program, $40 per class at the Harvard Extension School and discounted options through participating Harvard grad schools.
Transportation: Harvard offers a 50% discounted MBTA pass as well as additional options to assist employees in their daily commute.
Wellness options: Harvard offers programs and classes at little or no cost, including stress management, massages, nutrition, meditation, and complementary health services.
Harvard access to athletic facilities, libraries, campus events and many discounts throughout metro Boston.
The Harvard Medical School is not able to provide visa sponsorship for this position.
The Department of Biomedical Informatics (DBMI) at Harvard Medical School is looking for a Software Engineering Manager to lead a team of developers in a growing research group. We seek an individual to work on our multidisciplinary team of data scientists, medical doctors, and developers to help with cutting edge research platforms.
Our team studies large and disparate datasets from the domains of biology, healthcare, and social media. The goal of our efforts is to transform healthcare and in doing so usher in a new age of individualized data-driven medicine.
We work in a constantly evolving environment, iterating through prototypes with our experts to create research tools and methods. In this rapid and open space, individuals will be able to exercise creativity in developing solutions to novel problems.
As a senior member of our team, the individual will manage our developers on different concurrent software initiatives within the group. This individual will work directly with the project owners to understand their needs and translate them into tasks for the team.
We utilize the same open-source code base on all our projects which enables us to benefit many projects with the work we do on any one single project. This makes for a very collaborative and active space with other members of the team. Being part of an open-source project means benefits can be seen even beyond our own institution as we foster a strong community with our work.
Our applications are all Java-based and deployed within Amazon's Web Services. We utilize several services within the cloud including Oracle RDS instances to house our databases, Route 53 for DNS management and S3 for data loading procedures.
We are actively exploring data streaming and storage methods that will need to scale to terabytes and beyond as the datafication of biology and health care increases. Our applications facilitate the sharing and exploration of this data through easy to use graphical interfaces and RESTful endpoints.
Being a part of our team involves exposure to the following:
AWS Cloud Environment with DevOps tools like Docker and Terraform.
Highly collaborative scientific informatics projects.
Big Data problems in the biomedical and genomic space.
The Department has recently been formed at Harvard Medical School to lead the development of computational and informatics techniques to address pertinent challenges in modern biological sciences and medicine. The Department's faculty conduct research at the intersection of biomedicine and information sciences, including bioinformatics, functional genomics, translational medicine, and clinical knowledge management.
Based on the Harvard Medical School Longwood Campus, it provides a rich scientific environment, with many seminar series and invited speakers of the highest caliber. The working environment combines the best features of a startup (fast pace, flexibility, flat hierarchies) with those of one of the leading medical schools (excellent benefits, outstanding opportunities for learning, great resources, name recognition).