BIOINFORMATICIAN A

Inside Higher Ed; Philadelphia (Philadelphia County); On-site; USD 65,000 - 85,000; Full time

Job summary

An academic research organization based in Philadelphia is seeking an early-career Bioinformatician to analyze large genomic datasets. Candidates should have a Bachelor's degree in a related field and 3-5 years of relevant experience. The role offers opportunities to collaborate on scientific manuscripts and work with senior data scientists. Full-time position with a focus on robust data analyses.

Qualifications

• Minimum 3 to 5 years of experience or equivalent education.
• Experience in biological data science including data wrangling and analysis.
• Willingness to become conversant in Python if experienced in R.

Responsibilities

• Work with senior colleagues to design and carry out analyses of large genomic datasets.
• Perform robust analyses of large biological datasets.
• Participate in drafting scientific manuscripts as a collaborator.

Skills

Data analysis

Statistical methods

R programming

Python programming

Education

Bachelor's degree in Genetics, Genomics, Computer Science, Bioinformatics

Job description

Overview

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Duties: The Greene Lab seeks an early-career Bioinformatician to join our growing research team as a bioinformatician. This person will work with senior data science colleagues to design analyses and will be responsible for carrying out these analyses of large genomic datasets. This bioinformatician will seek to perform robust and reliable analyses of large biological datasets. This bioinformatician may, at times, have the opportunity to participate in drafting scientific manuscripts describing work from the group either as a primary author or as a collaborating author with other groups.

Qualifications: A Bachelor's degree in Genetics, Genomics, Computer Science, Bioinformatics, or related field and 3 years to 5 years of experience or an equivalent combination of education and experience required.

Experience in the collection of activities now coming to be known as \'biological data science\' including data wrangling, data analysis, and statistical methods; Experience with R or Python. If R, a willingness to become conversant in Python.

Reference Number: 40-29526

Salary Grade: 027

Employment Type: Exempt

Org: PH-Pharmacology

Job Family: I-Technical/Professional Research

Requirements

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Research, Analyst, and Information Technology
• Industry: Online Audio and Video Media