This Research Assistant I will be responsible for:
Under the direction of the Principal Investigator, the Research Assistant provides technical, scientific, and general operational support to research projects, which focus on machine learning approaches to process radiographic images and clinical outcomes to predict risk of injury and/or treatment outcomes in a range of musculoskeletal disorders. Specific activities/duties vary by the project but in general includes: research project planning and design, data acquisition, data processing/analysis, manuscript drafting and submission, and preparation of abstracts/posters/presentations. More specifically: - According to prescribed protocols and assigned schedules, perform a variety of data processing and algorithm development, utilizing standard laboratory/research equipment and software, recording and checking results for completeness and accuracy, and assists in troubleshooting procedures
- Use machine learning approaches (i.e. deep learning, natural language processing) to process imaging and clinical data. Develop algorithms to pre-process the imaging and clinical data for development of machine learning pipelines. Develop machine learning pipelines to assist risk and outcomes prediction
- Conduct literature searches and reviews, compiling information for journals and suggesting uses for new techniques to the P.I.
- Contribute to the team within and between departments and organizations
- Collaborate with other research staff and investigators to plan and design sound research methodologies and experiments
- Coordinate research projects and manage the timing of several concurrent projects using project management skills and collaboration with staff
- Assist in the process of data collection and analysis using varied instrumentation and software; provide proper documentation and organization to ensure integrity and organization of collected data
- Apply basic statistical knowledge; understand, interpret, and describe complex data by preparing graphs and tables
- Participate in the preparation, review, and submission of manuscripts and abstracts for publication
- Attend courses, lectures and conferences to further own knowledge of research and laboratory techniques, consulting with other researchers and technicians to exchange information.
To qualify, you must have: - Bachelor degree in Computer Science, Biomedical Engineering, Electrical Engineering or a related scientific discipline. Candidates with a master's degree or those in medical school are encouraged to apply
- The analytical skills to resolve complex problems requiring the use of scientific, mathematical, or technical principles and in-depth, experienced-based knowledge
- Knowledge and experience with machine learning approaches to process clinical and imaging data
- Experience with programming Pyhton and Matlab
- Research experience and practical knowledge of research principles through previous internship, work experience, or coursework. Experience in medical imaging research, with commonly used image processing tools and analytical methods preferred
- Excellent critical thinking skills
- The ability to communicate effectively both orally and in writing
- Knowledge of human anatomy and musculoskeletal diseases preferred
Please note: During a public health emergency, individuals in this role may be expected to take on additional duties to respond to organizational needs.
BCH offers competitive compensation and benefits.
BCH is an Equal Opportunity / Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disability.
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