Hourly Data Analyst

The Hourly Data Analyst will support an NIH R15-funded biomedical research project under the supervision of Dr. Zhi Wei. The position is intended to provide meaningful undergraduate research experience in biomedical data science, computational biology, and bioinformatics while contributing to approved project aims. The intern will assist with literature review, biological information curation, data analysis, implementation and testing of computational methods ,and preparation of research summaries or presentations.

Essential Functions:

• Conduct literature review related to biomedical data science, computational biology, bioinformatics, and relevant biological background information.

• Collect, organize, and curate prior biological information and publicly available biomedical data relevant to the project.

• Implement, test, and document basic core functions of proposed computational methods under supervision.

• Run baseline methods, software tools, and computational experiments as directed by the supervisor or graduate mentor.

• Assist with simulation of synthetic data and collection, processing, and analysis of real data.

• Contribute to the development and testing of user-friendly research software, scripts, notebooks, or documentation.

• Participate in regular research meetings, provide progress updates, and receive guidance from the PI, co-investigator, and graduate mentor.

• Help prepare research summaries, figures, reports, posters, presentations, or other materials related to the project.

Current undergraduate student in computer science, data science, bioinformatics, biology, mathematics, statistics, engineering, or a related field.

• Interest in biomedical research, computational biology, bioinformatics, machine learning, data science, or related areas.

• Ability to work responsibly under supervision, communicate progress, and meet agreed-upon deadlines.

• Strong attention to detail and willingness to learn new scientific and computational concepts.

• At the university’s discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position.

Preferred Qualifications:

-Prior coursework or experience in programming, data analysis, algorithms, statistics, machine learning, biology, genetics, genomics, or bioinformatics.

• Experience with Python, R, Linux/command line, Git/GitHub, Jupyter notebooks, or similar tools is helpful but not required.

• Prior research experience is helpful but not required.

In compliance with the NJ Pay Transparency Law, the hourly rate/range for this position is $15.92-$20.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items.