Research Support Specialist I - Department of Molecular Biology and Genetics (College of Arts & Sciences) - Subramanian Lab

Dr. Subramanian’s group focuses on understanding the principles governing cellular heterogeneity, crosstalk, and evolution in the context of human tissues and disease. Her interdisciplinary research program operates at the nexus of high-throughput data measurements, development and application of computational methods, and experimental design, with key collaborations for clinical samples, and mechanistic validations in vivo and in situ.

   

While position responsibilities vary, every member of our community is expected to foster a culture of belonging and a psychologically healthy work environment by communicating across differences; being cooperative, collaborative, open, and welcoming; showing respect, compassion, and empathy; engaging and supporting others regardless of background or perspective; speaking up when others are being excluded or treated inappropriately; and supporting work/life integration of oneself and others.

The research support specialist will conduct processing and analysis of diverse high-throughput ‘omic datasets (transcriptomics, epigenomics, proteomics), have multi-year proficiency in either R or Python programming, provide bioinformatics support, lead data management efforts, and assist with research activities in a fast-paced academic lab setting with opportunities to acquire new skills in analysis of cutting edge multi-omic data types.

This is a 12-month, full time position with possible extension depending on funding.

Required Qualifications:

• Proficiency in R, unix and high-performance computing.
• Use best-practices for reproducible coding.
• Strong organization and documentation skills
• Experience applying statistics and other analysis methods to complex genomic datasets.
• Must be adaptable and self-motivated, and able to quickly acquire and apply new skills independently.
• A work history demonstrating strong motivation, reliability, and good judgement.
• Work effectively and cooperatively within a team environment.
• Ability to cultivate and develop inclusive and equitable working relationships with students, faculty, staff, and community members. 
• Experience in and/or demonstrated commitment to supporting diversity, equity, access, inclusion, and wellbeing.
• Bachelor’s degree in computer science, information technology, engineering, mathematics or related quantitative field with 2-4 years of experience in an academic research environment in computational genomics.

Preferred Qualifications:

• At least 5 years of experience working in quantitative genomics including analysis of RNAseq, methylation and GWAS datasets.

No visa sponsorship or relocation assistance provided.

Pay Range- $62,035 to $65,137

Applications will be accepted through Sunday, April 21, 2024. A completed application will include a resume and cover letter. We have found it most efficient to save as one document prior to attaching.

   

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University Job Title:

Research Support Spec I

Job Family:

Academic Support

Level:

E

Pay Rate Type:

Salary

Pay Range:

$58,660.00 - $62,270.00

Remote Option Availability:

Fully Onsite

Company:

Endowed

Contact Name:

Melissa West

Job Titles and Pay Ranges:

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2024-04-05