Data Science Specialist

Job Description

A full-time Data Science Specialist position is available in the Buetow lab in the Center for Evolution and Medicine at Arizona State University starting September 1, 2024. The Buetow lab studies human genetics and genomics and leverages computational tools to understand complex traits such as cancer, liver disease, and obesity.

Working Environment

• Activities are performed in an environmentally controlled office setting subject to extended periods of sitting, keyboarding and manipulating a computer mouse.
• Ability to clearly communicate to perform essential functions.

Background Check Statement

ASU conducts pre-employment screening for all positions which includes a criminal background check, verification of work history, academic credentials, licenses, and certifications. Employment is contingent upon successful passing of the background check.

Minimum Qualifications

Bachelor's degree in Statistics, Computer Information Systems, Business Information, Economics or a related field and three (3) years of related data analysis experience, OR, any equivalent combination of experience and/or education from which comparable knowledge, skills and abilities have been achieved.

Desired Qualifications

• Preference for candidates with PhD in Genetics, Computational Biology, Bioinformatics, or a related field.
• Preference is given to those with strong expertise and experience in NGS and multi-omics data analysis (RNA-Seq, ATAC-Seq, ChIP-Seq, metabolomics, lipidomics, and proteomics), and statistical learning (supervised and unsupervised).
• Proficiency in programming with R, Unix/Linux, and/or Python, MATLAB, and experience with bioinformatics tools and databases (e.g. NCBI, Ensembl, UCSC Genome Browser) are highly desired.
• Experience conducting systems biological analyses that integrate 'omics datasets, molecular pathways, and genetic data to generate specific testable hypotheses
• Experience in human genetics including analysis and interpretation of rare and common variation

ASU Statement

Arizona State University is a new model for American higher education, an unprecedented combination of academic excellence, entrepreneurial energy and broad access. This New American University is a single, unified institution comprising four differentiated campuses positively impacting the economic, social, cultural and environmental health of the communities it serves. Its research is inspired by real world application blurring the boundaries that traditionally separate academic disciplines. ASU serves more than 100,000 students in metropolitan Phoenix, Arizona, the nation's fifth largest city. ASU champions intellectual and cultural diversity, and welcomes students from all fifty states and more than one hundred nations across the globe.

ASU is a tobacco-free university. For details visit https://wellness.asu.edu/explore-wellness/body/alcohol-and-drugs/tobacco

Arizona State University is a VEVRAA Federal Contractor and an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other basis protected by law.

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Essential Duties

• Demonstrated knowledge of the use of bioinformatics computations in high-performance computing environments, including open-source bioinformatics software and pipelines to support diverse bioinformatics analyses.
• Fluency in data science methods, including clustering, dimensional reduction and basic machine learning concepts
• Evidence of being self-motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills
• Experience in R or Python, as well as Unix/Linux shell scripting
• Evidence of statistical, mathematical, and analytical skills

Instructions to Apply

Application deadline is 3:00PM Arizona time on the date indicated.

Please include all employment information in month/year format (e.g., 6/88 to 8/94), job title, job duties and name of employer for each position.

Resume should clearly illustrate how prior knowledge and experience meets the Minimum and Desired qualifications of this position.

ASU does not pay for travel expenses associated with interviews, unless otherwise indicated.

Only electronic applications are accepted for this position.

IMPORTANT NOTE: What is the meaning of "equivalent combination" in the minimum qualifications? It means one year of higher education or 24 credit hours, is equal to one year of experience. For example, a four year Bachelor's degree is equal to four years of experience.