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Postdoc - Biological Sciences - Molecular and Cell Biology

Employer
University of California, Berkeley
Location
San Francisco

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Position Type
Postdoc
Employment Type
Full Time
Institution Type
Four-Year Institution


Postdoc - Biological Sciences - Molecular & Cell Biology

Position overview Position title: Postdoctoral Scholar
Salary range: The UC postdoc salary scales set the minimum pay determined by experience level at appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2023-24/oct-2023-acad-salary-scales/t23.pdf. The current minimum salary range for this position is $64,480-$71,908. Salaries above the minimum may be offered when necessary to meet competitive conditions.

Percent time: 100%

Anticipated start: Late 2023 or early 2024

Position duration: Two years with the possibility of extension based on performance and availability of funding.

Application Window
Open date: November 8, 2023

Next review date: Wednesday, Nov 22, 2023 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Saturday, Dec 9, 2023 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Position description

The Staller lab in the Department of Molecular & Cell Biology at the University of California, Berkeley seeks applications for a Postdoctoral Scholar to conduct research in transcriptional regulation and systems biology. The Staller lab resides in the division of Genetics, Genomics, Evolution, and Development (GGED) in the Department of Molecular and Cell Biology (MCB). Max Staller is a member of Center for Computational Biology (CCB) and a Chan Zuckerberg BioHub - San Francisco Investigator. The lab takes a genomics approach to biochemistry to study transcription factor function. Our work combines experiments, theory, computational modeling, simulations, machine learning, and evolutionary comparison. We work on yeast, human, and plant transcription factors. Depending on candidate interest, opportunities may be available to characterize human patient mutations currently characterized as variants of uncertain significance. This position reports to Max Staller, Assistant Professor in Residence.

This position will involve designing and executing experiments, data management, data analysis, manuscript preparation, presenting research, contributing to grant proposals, and mentoring students. The ideal candidate can develop and troubleshoot new methodologies and is enthusiastic about pursuing exciting and fundamental biological questions. Opportunities for experimental training, computational training, and career development will be available. The work will have a focus on molecular biology techniques including DNA isolation, PCR, Illumina sequencing library preparation, human tissue culture, yeast cell culture, and computational analysis of the resulting data. Emphasis is placed on the design of rational mutagenesis libraries to test mechanistic hypotheses about transcriptional activation. The position can involve a mixture of experimental and computation work or be focused purely on computational work.

Qualifications
Basic qualifications (required at time of application)
PhD (or equivalent international degree) or enrolled in a PhD (or equivalent international degree) program

Additional qualifications (required at time of start)
  • PhD (or equivalent international degree)
  • No more than three years of post-degree research experience by start date

    Preferred qualifications
  • PhD in Biology or related field
  • Experience in laboratory research
  • Organized and attentive to detail
  • Strong written and oral communication skills
  • Published papers, manuscripts in preparation or under review
  • Experience in computational biology

    Application Requirements

    Document requirements
    • Curriculum Vitae - Your most recently updated C.V.
    • Cover Letter
    • Statement of Research (Optional)


    Reference requirements
    • 2 required (contact information only)

    Letters of reference will only be solicited for finalists
    Apply link: https://aprecruit.berkeley.edu/JPF04175

    Help contact: mstaller@berkeley.edu

    Campus Information

    UC Berkeley is committed to diversity, equity, inclusion, and belonging. The excellence of the institution requires an environment in which the diverse community of faculty, students, and staff are welcome and included. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position (e.g., teaching, research, and service, as applicable).

    The University of California, Berkeley is 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, age, or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct

    In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

    As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

    Job location
    Berkeley, CA


    To apply, visit https://aprecruit.berkeley.edu/JPF04175









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