University of Alabama at Birmingham

BIOINFORMATICIAN II

BIRMINGHAM, ALPosted 21 days ago

Job summary

  • Job post source

    This job is directly from University of Alabama at Birmingham

  • Job overview

    The Bioinformatician II at University of Alabama at Birmingham supports cardiovascular genetics and multi-omics research by analyzing large-scale genomic datasets to advance cardiovascular genomics and clinical applications.

  • Responsibilities and impact

    The role involves analyzing next-generation sequencing data, developing bioinformatics tools and pipelines, supporting study design and data management, integrating multi-omics and clinical data, collaborating with multidisciplinary teams, contributing to scientific publications, and mentoring junior staff.

  • Compensation and benefits

    The salary range is $63,875 to $103,800 with no specific mention of bonuses or additional benefits, but the position is onsite with regular employee status and day shift.

  • Experience and skills

    Requires a Bachelor's degree in Biological Sciences, Computer Science with biology/genomics interest, or related field, plus four years of related experience; proficiency in Python, R, Bash, NGS data analysis, machine learning, cloud platforms, and genomic databases is needed.

  • Career development

    Opportunities include working with large-scale genomic datasets, contributing to innovative cardiovascular research, and mentoring junior staff, supporting professional growth in bioinformatics and computational medicine.

  • Work environment and culture

    The position is onsite at a university setting emphasizing equal opportunity, collaboration in a multidisciplinary team, and a commitment to scientific rigor and reproducibility.

  • Company information

    University of Alabama at Birmingham is a research university with a focus on cardiovascular clinical and translational research, leveraging large genomic datasets and advanced computational methods.

  • Team overview

    The candidate will join a multidisciplinary Cardiovascular Clinical and Translational Research Program team working on cardiovascular genetics, multi-omics, and computational medicine.

  • Job location and travel

    The job is located onsite at the University of Alabama at Birmingham with a day/first shift schedule.

  • Unique job features

    This role offers the unique opportunity to work with large-scale datasets like UK Biobank and All of Us Research Program and to contribute to translational research integrating genomics with clinical data.

Company overview

The University of Alabama at Birmingham (UAB) is a public research university and academic medical center located in Birmingham, Alabama. UAB offers a wide range of undergraduate, graduate, and professional programs, and is known for its strong emphasis on research and healthcare. The university generates revenue through tuition, research grants, and its extensive healthcare services provided by UAB Health System. Founded in 1969, UAB has grown rapidly and is now one of the largest employers in Alabama, playing a significant role in the state's economy and healthcare infrastructure.

How to land this job

  • Position your resume to emphasize your experience with next-generation sequencing data analysis, multi-omics research, and bioinformatics tool development, aligning with UAB's focus on cardiovascular genetics and computational medicine.

  • Highlight your proficiency in Python, R, Bash scripting, and familiarity with cloud platforms like AWS or Google Cloud, as these technical skills are critical for the Bioinformatician II role.

  • Apply through multiple channels including the University of Alabama at Birmingham’s official careers page, LinkedIn, and other academic job boards to maximize your application visibility.

  • Connect with faculty or staff in the Cardiovascular Clinical and Translational Research Program on LinkedIn, using ice breakers such as commenting on recent publications from their lab or expressing enthusiasm about UAB’s multi-omics research initiatives.

  • Optimize your resume for ATS by incorporating keywords from the job description such as 'NGS data analysis,' 'machine learning,' 'genomic databases,' and 'bioinformatics pipelines' to improve screening success.

  • Utilize Jennie Johnson’s Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant LinkedIn contacts for networking, allowing you to focus your time on interview preparation and skill enhancement.

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