Software Engineer_

Cambridge

66064BRAuto req ID:66064BRJob Code:I0757P Applications Professional III Department Office Location:USA - MA - Boston Business Title:Software EngineerSub-Unit: Salary Grade (arvard.edu/salary-ranges#ranges) :057Time Status:Full-time Union:00 - Non Union, Exempt or Temporary Additional Qualifications and Skills:

+ Minimum two years’ additional post-secondary education or relevant work experience

+ Knowledge of information technology applications, processes, software and equipment

+ Demonstrated team performance skills, service mindset approach, and the ability to act as a trusted advisor

Additional Information:This is a 12-month term appointment with the possibility of renewal contingent on funding.

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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Department:Systems BiologyPre-Employment Screening:Education, IdentityJob Function:Information Technology School/Unit:Harvard Medical School 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.Basic Qualifications:

+ Minimum of two years’ post-secondary education or relevant work experience

Certificates and Licenses:

+ Completion of Harvard IT Academy specified foundational courses (or external equivalent) preferred

Position Description:

The Marks lab in the Department of Systems Biology is looking for a Software Engineer to work in a team using state-of-the-art machine learning approaches for modeling genomes and proteins from viruses to humans. This person will join a vibrant Computational Biology lab at Harvard Medical School and work as part of a team to build open source software to predict the effects of genetics and viral evolution modeling, genetic variation on human disease and protein design - among other projects. In this role, you may be expected to develop, monitor and provide support services for the EVCouplings server, build analysis pipelines for SARS-CoV-2 protein and RNA interactions within virus and host cells, shift to other variant of concern (CoV) models, and train lab members and collaborators in software developed and maintained by the Marks Lab. These tasks may include biweekly/monthly reporting, monitoring support services for EVCoupings, troubleshooting servers, and managing lab storage space and data use. The ideal candidate will have enthusiasm for learning new domains and advanced code fluency.

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 (arvard.edu/about-hms/campus-culture/mission-statement-community-values)

arvard.edu/about-hms/campus-culture/mission-community-values-diversity-statement Benefits:We invite you to visit Harvard's Total Rewards website (arvard.edu/totalrewards) to learn more about our outstanding benefits package, which may include:

+ Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.

+ Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.

+ Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.

+ Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.

+ Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.

+ Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.

+ Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.

+ Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.

+ Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.

Work Format:Hybrid (partially on-site, partially remote) LinkedIn Recruiter Tag (for internal use only):#LI-DK1Work Format Details:This is a hybrid position that is based in Massachusetts. Additional details will be discussed during the interview process. All remote work must be performed within one of the Harvard Registered Payroll States, which currently includes Massachusetts, Connecticut, Maine, New Hampshire, Rhode Island, Vermont, Georgia, Illinois, Maryland, New Jersey, New York, Virginia, Washington, and California (CA for exempt positions only). Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.