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.
Job Summary Independently perform comprehensive applications/web development for project of medium to large size and complexity; work as part of a team to implement business solutions. Write basic code of moderate complexity and maintain related documentation.
Participate fully in software development life cycle
Support technical solutions to deliver business requirements
Troubleshoot problems and suggest improvements to coding practices
Act as technical liaison to internal clients
Abide by and follow the Harvard University IT technical standards, policies and Code of Conduct
Minimum of two years' post-secondary education and/or relevant work experience
Additional Qualifications Bachelor's Degree in computer science, engineering, life or physical sciences or a related discipline preferred. 2 years of related experience in research or related environment. Advanced degree may count toward experience. Demonstrated experience in software and instrumentation development. Proficiency in at least one programming language including, but not limited to, Python or MATLAB.
We are especially interested in candidates with: - an advanced degree in science or engineering - highly proficient in Python - programming experience in other languages (e.g., C, Java, MATLAB) - experience with machine learning, deep learning, and convolutional neural networks - experience with nano-positioning systems - experience with electron microscopy and electron-optics - 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, 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 and building 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.