Discussion: View Thread

Postdoctoral Position in Biostatistics- University of Minnesota

  • 1.  Postdoctoral Position in Biostatistics- University of Minnesota

    Posted 11-22-2022 22:37

    About the Job

    Applications are invited for a full-time postdoctoral associate position in Biostatistics in the School of Public Halth, University of Minnesota, Minneapolis, MN.  For more information about the Biostatistics division, visit https://www.sph.umn.edu/academics/divisions/biostatistics/. Given the COVID-19 pandemic, remote work may be possible for this position.

    The post-doc will be formally mentored by Dr. Sandra Safo (www.sandraesafo.com) and will work with Dr. Safo and her collaborators within and outside the University of Minnesota. The research will focus on developing and implementing statistical and machine learning methods for integrating high-dimensional and/or functional data from multiple sources.  Possible domains of applications include cardiovascular diseases, chronic obstructive pulmonary disease (COPD), COVID-19, and HIV.  Other additional duties will include: software development (R, Matlab, or in Python/TensorFlow/Keras/PyTorch for deep learning); simulation studies; real data analysis, and writing manuscripts. If the post-doc associate is interested in gaining experience in grant-writing and in competing for an extramural grant, there will be an opportunity for that.
    This appointment is for 1-2 years, with a possible extension to year 3, contingent on satisfactory performance and funding availability. Travel stipend to attend a national conference each year will be made available. The associate will be eligible for benefits that include paid and unpaid leaves of absence, and University Medical Insurance. For more, visit https://policy.umn.edu/hr/postdocappoint.

    SPH is committed to antiracism and anti-oppression in our mission and operations. In pursuit of this goal, we consider an applicant's record working with individuals from historically marginalized backgrounds and experience identifying and eliminating systemic barriers to success in an academic environment. SPH seeks to increase the diversity of its workforce, and we particularly encourage applications from those who belong to groups that have been historically underrepresented in our discipline, including those who are Black, Indigenous, and people of color, those with disabilities, and those from LGBTQIA+ communities.

    Please note: At this time, the University's employment site is limited in how it collects applicant demographic information. Applicants are encouraged to provide their preferred name and/or pronouns within their attached application materials.

    Starting Date: Negotiable. Position will remain open until filled.

    Salary range: $56,000-$60,000 annually

    Questions? For preliminary inquiries, you may send your CV to ssafo@umn.edu

    The University of Minnesota offers a comprehensive benefits package for Postdoctoral Associates including:

    •          Competitive wages, paid holidays, vacation and sick leave

    •          Low cost medical, dental, and pharmacy plans

    •          Health care and dependent daycare flexible spending accounts

    •          Optional retirement plans

    •          Disability and employer paid life insurance

    •          Wellbeing program with reduced insurance premiums

    •          Tuition reimbursement opportunities covering 75%-100% of eligible tuition

    •          Student loan forgiveness opportunity

    •          Opportunities for growth and promotion

    •          Employee Assistance Program

    For more information regarding benefits specific to Postdoctoral Associates: https://policy.umn.edu/media/32/download

    Qualifications

    Qualifications:
    A PhD degree in Biostatistics, Statistics, Computer Science or a related field, strong computing/programming and communication skills, and strong interest in omics and deep learning is required. Experience in high-dimensional data analysis, functional data analysis or deep learning is highly preferred.

    How To Apply

    For preliminary enquiries, please send your CV to me at ssafo@umn.edu

    Applications must be submitted online.  To be considered for this position, please click the Apply button (https://hr.myu.umn.edu/jobs/ext/345265) and follow the instructions.  You will have the opportunity to complete an online application for the position and attach a cover letter and resume.

    Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section. 

    This position will remain open until filled.

    To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-UOHR (8647).

     

    Diversity

    The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

    The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu.

    Employment Requirements

    Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

    Please note: All employees at the University of Minnesota are required to report complete vaccination against COVID-19 or submit documentation requesting a medical or religious exemption on their first day of employment. To learn more, please visit the University's COVID-19 Response webpage.



    ------------------------------
    Sandra Safo
    Assistant Professor
    ------------------------------