64805BRAuto req ID:64805BRJob Code:I1256P IT RC Software/Data Prof II Department Office Location:USA - MA - Boston Business Title:EngineerSub-Unit:------------ Salary Grade (https://hr.harvard.edu/salary-ranges#ranges) :056Time Status:Full-time Union:00 - Non Union, Exempt or Temporary Additional Qualifications and Skills:

　　Bachelor's Degree in engineering, computer science, life or physical sciences or a related discipline preferred an advanced degree in science or engineering

　　Highly proficient in Python - programming experience in other languages (e.g., C, Java, MATLAB)

　　Experience with electron microscopy and electron-optics

　　Experience with nano-positioning systems

　　Experience with non-linear (multi-photon) optics and laser scanning microscopy

　　Work experience in biomedical research and/or an academic science environment

　　Demonstrated experience teaching or training in an informal setting.

　　The successful candidate will be self-motivated, skilled at prioritization, creative, and enjoy working in a dynamic and intellectually stimulating environment. S/he will be skilled at translating research problems into well-defined technical specifications and then designing, building, and help support user-friendly software solutions and instrumentation; s/he will have excellent interpersonal skills; enthusiasm for collaborating closely with biologists; software, engineering, and data science skills; and the ability to write clearly for a broad audience.

　　Demonstrated experience in software and instrumentation development. Proficiency in a at least one programming language including, but not limited to, Python or MATLAB.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.

　　Not ready to apply? Join our talent community (https://www.gem.com/form?formID=16341e35-cbc6-4904-88a3-09b35763307e) to keep in touch and learn about future opportunities! ( https://www.gem.com ?formID=16341e35-cbc6-4904-88a3-09b35763307e )

　　Department:NeurobiologyPre-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 experienceCertificates and Licenses:

　　Completion of Harvard IT Academy specified foundational courses (or external equivalent) preferredPosition Description:Our group in the Department of Neurobiology at Harvard Medical School seeks an innovative and enthusiastic team member to join a multidisciplinary research laboratory. We are interested in understanding how computations arise from the organization and connectivity of neuronal networks. To analyze neural circuit structure and function at the highest resolution and completeness possible, we combine structural and functional imaging techniques including high-throughput electron and X-ray microscopy, and in vivo two-photon calcium imaging. We seek an engineer with hardware and software skills. They should be capable of developing and working with custom instrumentation for high-throughput microscopy and analyzing large data.

　　Main projects include:

　　Development and support of automated imaging platforms for electron microscopy;

　　Development and support of automated imaging platforms for X-ray microscopy (eg. microCT);

　　Development and validation of high-throughput multi-photon microscopes for volumetric in vivo imaging;

　　Development and support of a large data handling infrastructure, data processing, and analyses.

　　Success will require a close working collaboration with biologists and the ability to independently develop solutions to address biological questions.

　　Building and optimizing novel hardware and software pipelines will play a vital role in helping us achieve our biological aims.

　　Typical duties of the Functional Connectomics Engineer include:

　　developing and maintaining hardware for electron, X-ray, and light microscopy;

　　developing software to generate, process, and analyze large-scale image datasets;

　　computational systems oversight and miscellaneous programming;

　　communicating with vendors and coordinating jobs with internal and external service providers and collaborators;

　　documenting projects and communicating project progress.

　　We offer the opportunity to:

　　Apply your skills toward understanding the brain in a vibrant academic environment;

　　Do cutting edge science with a supportive and collaborative team;

　　Invent techniques and technology with potential for patents and commercialization;

　　Author academic papers.

　　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-statement-community-values)

　　https://hms.harvard.edu/about-hms/campus-culture/mission-community-values-diversity-statement Benefits:We invite you to visit Harvard's Total Rewards website (https://hr.harvard.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:On-Site LinkedIn Recruiter Tag (for internal use only):#LI-DK1Work Format Details:This position is based primarily on-campus, in Massachusetts. This may include in-person during emergency situations (if applicable). Additional details will be discussed during the interview process. Certain visa types may limit work location. Individuals must meet work location sponsorship requirements prior to employment.