Computational Research Assistant I, Neurosurgery at Partner's Healthcare in Boston, Massachusetts

Posted in Other 1 day ago.





Job Description:

Site: The Brigham and Women's Hospital, Inc.


At Mass General Brigham, we know it takes a surprising range of talented professionals to advance our mission-from doctors, nurses, business people and tech experts, to dedicated researchers and systems analysts. As a not-for-profit organization, Mass General Brigham is committed to supporting patient care, research, teaching, and service to the community. We place great value on being a diverse, equitable and inclusive organization as we aim to reflect the diversity of the patients we serve.


At Mass General Brigham, we believe a diverse set of backgrounds and lived experiences makes us stronger by challenging our assumptions with new perspectives that can drive revolutionary discoveries in medical innovations in research and patient care. Therefore, we invite and welcome applicants from traditionally underrepresented groups in healthcare - people of color, people with disabilities, LGBTQ community, and/or gender expansive, first and second-generation immigrants, veterans, and people from different socioeconomic backgrounds - to apply.



Job Summary
GENERAL OVERVIEW


A team of translational researchers led by Dr. Wenya Linda Bi from the Department of Neurosurgery at Brigham & Women's Hospital seeks a computational research assistant in the study of brain and skull base tumors. The key focus of this role is to apply computational methods and novel genomic technologies to integrate biological, radiological, and clinical data streams to develop novel diagnostic tools and therapeutic strategies. The research assistant will learn computational methods to assess large datasets of patient data, predict response to treatment, and explore biologically generated hypotheses.


Working under the supervision of the Principal Investigator, and in accordance with established hospital procedures, the Research Assistant will conduct a variety of computational and human subject related tasks for novel genomic technologies to determine optimal treatment strategies for patients with brain cancers. The ultimate aim of these efforts will be to comprehensively characterize the genomic and immune microenvironment of brain tumors. The ideal candidate will be detail-oriented in organizational skills, comfortable in a team environment, highly self-motivated, and enthusiastic about scientific discovery and academic growth.


PRINCIPAL DUTIES


The research assistant is primarily responsible for the following activities for their assigned duties:


Assist with data analysis of large high-throughput datasets, for which a strong interest and background in computational and/or statistical analysis is a plus.
Develop models for exploration of biological pathways and immune modulation
Develop, organize, and/or maintain a study database for study subjects, including relevant clinical, molecular, and computational data.
Track brain tumor patients across surgical dates and post-operative clinic visits across multiple clinical departments (Neurosurgery, Neuro-Oncology, Radiation Oncology).
Ensure compliance with the institutional IRB, and guidelines.
Other duties as assigned.
NOTE: This position is funded 100% from research/grant funding and is expected to last 2+ years, but subject to termination if research funding expires.



Qualifications



GENERAL OVERVIEW



A team of translational researchers led by Dr. Wenya Linda Bi from the Department of Neurosurgery at Brigham & Women's Hospital seeks a computational research assistant in the study of brain and skull base tumors. The key focus of this role is to apply computational methods and novel genomic technologies to integrate biological, radiological, and clinical data streams to develop novel diagnostic tools and therapeutic strategies. The research assistant will learn computational methods to assess large datasets of patient data, predict response to treatment, and explore biologically generated hypotheses.


Working under the supervision of the Principal Investigator, and in accordance with established hospital procedures, the Research Assistant will conduct a variety of computational and human subject related tasks for novel genomic technologies to determine optimal treatment strategies for patients with brain cancers. The ultimate aim of these efforts will be to comprehensively characterize the genomic and immune microenvironment of brain tumors. The ideal candidate will be detail-oriented in organizational skills, comfortable in a team environment, highly self-motivated, and enthusiastic about scientific discovery and academic growth.



PRINCIPAL DUTIES



The research assistant is primarily responsible for the following activities for their assigned duties:


  • Assist with data analysis of large high-throughput datasets, for which a strong interest and background in computational and/or statistical analysis is a plus.

  • Develop models for exploration of biological pathways and immune modulation

  • Develop, organize, and/or maintain a study database for study subjects, including relevant clinical, molecular, and computational data.

  • Track brain tumor patients across surgical dates and post-operative clinic visits across multiple clinical departments (Neurosurgery, Neuro-Oncology, Radiation Oncology).

  • Ensure compliance with the institutional IRB, and guidelines.

  • Other duties as assigned.



NOTE: This position is funded 100% from research/grant funding And is expected to last 2+ years, but subject to termination if research funding expires.




  • A Bachelor's Degree is required, preferably in Computer Science, Engineering, Physics, or similar area.

  • Prior experience or coursework in computational biology, computer science, statistics, deep learning algorithms, genetics, or biology is helpful.

  • The ideal candidate will be detail-oriented in organizational skills, comfortable in a team environment, enthusiastic about scientific discovery, and highly self-motivated.






Additional Job Details (if applicable)


Additional Job Description



Remote Type


Onsite



Work Location


75 Francis Street



Scheduled Weekly Hours


40



Employee Type


Regular



Work Shift


Day (United States of America)



EEO Statement:


The Brigham and Women's Hospital, Inc. is an Affirmative Action Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.



Mass General Brigham Competency Framework


At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.
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