Des Moines University Medicine and Health Sciences

Computational Fellow

WEST DES MOINES, IAPosted 30+ days ago

Job summary

  • Job post source

    This job is directly from Des Moines University Medicine and Health Sciences

  • Job overview

    The Computational Fellow role at Des Moines University involves leading innovative research in data science, bioinformatics, and data analytics to advance healthcare and biomedical fields.

  • Responsibilities and impact

    The fellow will conduct research, develop computational methods, create visualization tools, collaborate with interdisciplinary teams, drive technology development, and mentor students and staff.

  • Compensation and benefits

    The position offers 90% employer-paid medical insurance, a 10% retirement match, flexible work arrangements, community service time, tuition assistance, professional development funding, and wellness programs.

  • Experience and skills

    Candidates must have a Ph.D. in a relevant field with expertise in data science, machine learning, and statistical analysis, a strong research and publication record, grant funding experience, and mentoring skills.

  • Career development

    Opportunities include mentoring roles, securing research grants, publishing scholarly articles, and contributing to innovative research projects in a state-of-the-art environment.

  • Work environment and culture

    The university promotes a well-balanced lifestyle with flexible work arrangements, community service time, and access to wellness facilities in a collaborative and innovative research setting.

  • Company information

    Des Moines University, founded in 1898, is a premier medical and health sciences institution with three colleges and recently moved to a new 88-acre campus with advanced research facilities.

  • Job location and travel

    The position is based at the new Des Moines University campus in West Des Moines, Iowa, with a Monday to Friday, 8 AM to 5 PM work schedule.

  • Application process

    Applicants must submit a resume, cover letter, and three professional references online as part of the application process.

  • Unique job features

    The role offers access to state-of-the-art research facilities and the opportunity to work on cutting-edge computational methods in biomedical data analysis.

Company overview

Des Moines University Medicine and Health Sciences is a private graduate health sciences university based in Des Moines, Iowa, specializing in medical and health professions education including osteopathic medicine, podiatric medicine, physical therapy, and physician assistant studies. The university generates revenue primarily through tuition, research grants, and partnerships with healthcare organizations. Founded in 1898, it is one of the nation’s oldest osteopathic medical schools and has a longstanding reputation for community engagement and innovation in health sciences. In recent years, DMU has invested in a new campus and expanded its research initiatives, reflecting its commitment to growth and modernization. Candidates should be aware of the university’s strong focus on interprofessional education, community service, and preparing graduates for diverse healthcare roles.

How to land this job

  • Tailor your resume to highlight your Ph.D. and expertise in bioinformatics, computational biology, or related fields, emphasizing your skills in data science, machine learning, and statistical analysis as these are core to the Computational Fellow role at Des Moines University Medicine and Health Sciences.

  • Focus on showcasing your experience in conducting biomedical research, developing computational methods, and working with complex biological datasets like genomics and clinical data, as well as your ability to create visualization tools and dashboards to communicate findings effectively.

  • Apply through multiple platforms including the Des Moines University corporate career site and LinkedIn to maximize your application visibility and ensure your resume reaches the right hiring managers.

  • Connect on LinkedIn with faculty and researchers within the Medicine and Health Sciences departments at DMU; use ice breakers such as commenting on recent publications, asking about ongoing computational projects, or expressing enthusiasm about DMU's new campus and research facilities.

  • Optimize your resume for ATS by incorporating keywords from the job description such as 'bioinformatics,' 'machine learning,' 'data analytics,' 'computational methods,' 'grant writing,' and 'mentoring,' ensuring your resume passes automated screenings.

  • Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application channels, and find relevant LinkedIn connections, allowing you to focus your energy on preparing for interviews and networking effectively.

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