Research Software Engineer

10 days ago

Boston, MA, USASenior

Responsibilities

Design, implement, maintain, deploy, monitor, and support open-source research software for genomic, single-cell, spatial omics, and biomedical data visualization and analysis.
Lead the engineering and research strategy, roadmaps, milestones, and long-term ownership of one or more software projects.
Establish engineering practices including code review, testing, continuous integration, documentation, and release management.
Lead peer-reviewed publications, present research at scientific conferences, and contribute to grant proposals and funding opportunities.
Build and support open-source user and developer communities through documentation, tutorials, workshops, issue triage, and contributor engagement.
Collaborate with domain scientists, national and international research consortia, and external collaborators to gather requirements and integrate tools into workflows.
Conduct user studies, contribute to biomedical data standards and file formats, mentor trainees and staff, and participate in teaching and training activities.

Minimum of seven years of post-secondary education or relevant work experience.
Five or more years of software engineering experience focused on web applications.
Five or more years of experience analyzing and visualizing single-cell and spatial biology data.
Five or more years of biomedical data research experience.
Five or more years of experience in large-scale collaborative academic or publicly funded research projects, including a record of leading major academic research software projects.
Three or more years of open-source software development and community-building experience.
Three or more years of training and community-outreach experience and at least one year of mentoring trainees and staff.
Proven success publishing in bioinformatics and computational biology venues, along with data visualization research experience.
Experience developing software in Python and R, plus grant-writing skills.
A doctoral degree in biomedical informatics, computer science, computational biology, data science, or a related field is strongly preferred.

One-year term position from the date of hire, with possible extension contingent on performance and continued funding.
35-hour standard work week.
Flexible work arrangement in which duties may be performed at a non-Harvard location or Harvard-designated location, with schedule and location determined by departmental needs and applicable work-location requirements.
Paid time off, including parental leave; medical, dental, and vision insurance beginning on day one.
Retirement plans with university contributions, wellbeing and mental health resources, family and caregiver support, professional development and tuition assistance, commuter benefits, discounts, and campus perks.