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Job Description:

The School of Engineering is seeking an enthusiastic and skilled Data Analyst.

The Data Analyst will develop and validate MATLAB codes for image and data analysis in the Lee Lab in the School of Engineering at Brown University.  At the intersection of medical photonics, neural engineering, and artificial intelligence, the Lee Lab develops novel technologies for label-free imaging and genetics-free modulation of biological systems, under clear targets of clinical application; including a software algorithm of predicting chemotherapy effects in individual patients and a laser goggle making blind people see again.  The Data Analyst will work with the principal investigator and six doctoral students on their research and development projects supported by the National Cancer Institute (NCI), National Eye Institute (NEI), and National Institute on Aging (NIA). 

Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a personâ™s race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, in the administration of its policies, programs, and activities. The University recognizes and rewards individuals on the basis of qualifications and performance.

Education and Experience

• Bachelorâ™s Degree in Statistics, Applied Mathematics, Bioinformatics or related field.
• 1-2 years of experience working on data/image analysis projects

Job Competencies

• Excellent skills of data analysis in MATLAB (or Python although MATLAB is preferred)
• Ability to manage multiple projects with competing priorities and deadlines, and an eagerness to take ownership of challenging and open-ended assignments
• Effective at communicating with team members whose technical backgrounds vary
• Excellent interpersonal, oral, and written communication skills with strong analytical ability
• Versatile, enthusiastic, and eager to learn new skills
• Possess a willingness and ability to support a diverse and inclusive environment and inclusive campus community and handle sensitive and confidential information with discretion.

Please submit a cover letter when applying for this position.

Brown University offers a flexible work/life balance; summer hours, winter break and a comprehensive Benefits package including time off, annual paid holidays; benefits offerings including health, dental, vision, tuition assistance, retirement, wellness, employee discounts and more.  To learn about Brown Universityâ™s benefits, visit the UHR web page here for further information.

All offers are contingent on successful completion of a criminal background check and education verification.

In order to maintain 90% or greater universal vaccination rates on campus, all newly hired employees at Brown University must receive the final dose of the COVID-19 vaccine before they begin work, unless they are approved for a medical or religious exemption. For more information, please visit the Healthy Brown site. 

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Submission Guidelines:

Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

Vaccination Requirements:

In order to maintain 90% or greater universal vaccination rates on campus, all newly hired employees at Brown University must receive the final dose of the COVID-19 vaccine before they begin work, unless they are approved for a medical or religious exemption. All employees must also receive a COVID-19 booster within thirty (30) days of becoming eligible. For more information, please visit the Healthy Brown site.

Still Have Questions?

If you have any questions you may contact employment@brown.edu.

EEO Statement:

Brown University is an E-Verify Employer.

Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers applicants for employment without regard to, and does not discriminate on the basis of, gender, sex, sexual orientation, gender identity, national origin, age, race, protected veteran status, disability, or any other legally protected status.