Job description
Join a premier academic lab in Cambridge, MA dedicated to advancing knowledge at the intersection of biology, data science, and engineering. This full-time position supports a cross-disciplinary team pursuing high-impact projects with translational potential. You will contribute to experimental design, data analysis, and collaborative scholarship in a dynamic, supportive environment with access to state-of-the-art facilities and resources.
We seek a motivated researcher who thrives in interdisciplinary teams, demonstrates scientific curiosity, and communicates clearly. This role offers growth toward independent research leadership, mentorship opportunities, and potential for co-authorship on high-profile publications.
Responsibility
- Design, execute, and optimize experiments; develop and maintain reproducible analysis pipelines; interpret results to inform project direction.
- Lead data collection, cleaning, statistical analysis, and visualization for progress reports and manuscripts.
- Collaborate with biologists, engineers, and clinicians to translate findings into actionable insights.
- Mentor students and junior researchers; supervise protocols and lab safety compliance.
- Prepare figures and sections for manuscripts, conference abstracts, and grant proposals.
- Contribute to grant writing and funding applications; manage project timelines and milestones.
- Present research progress at internal seminars and external conferences.
Qualification
- PhD in biology, neuroscience, bioinformatics, data science, or a related discipline.
- Strong programming skills in Python and R; experience with MATLAB or similar tools.
- Proven experience with experimental design, data analysis, and statistics; experience with large datasets preferred.
- Record of scholarly publications and ability to contribute to grant proposals.
- Excellent written and verbal communication; collaborative mindset and ability to work in interdisciplinary teams.
- Strong organizational skills; ability to manage multiple projects and meet deadlines.
- Familiarity with version control (Git) and reproducible research practices.