Specialist (Assistant/Associate/Full) – Data Analyst-Bioninformatics Specialist Full Time

Position overview Position title: Specialist
Salary range: The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2024-25/july-2024-scales/t24-b.pdf . A reasonable estimate for this position is $61,300 – $110,300.

Percent time: 100%

Anticipated start: August 19, 2024.

Position duration: The initial appointment will be for two years, renewable based on satisfactory performance

Application Window
Open date: July 23, 2024

Next review date: Wednesday, Aug 7, 2024 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Friday, Aug 23, 2024 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 multi-departmental Vision Science Group on the Berkeley campus is recruiting a full time Assistant, Associate or Full Specialist to work on bioinformatics and data analysis for diverse research projects. We are seeking a highly motivated and hardworking professional who can work well in a collaborative, multidisciplinary setting that involves interfacing with multiple laboratories with varied interests. Researchers in the Vision Science group are housed in the Herbert Wertheim School of Optometry & Vision Science, the Department of Molecular and Cell Biology, the Helen Wills Neuroscience Institute and other units on the campus.

The Data Analyst-Bioinformatics Assistant, Associate or Full Specialist will work within the Vision Sciences Group and provide services to users of the NIH funded CORE Grant for Vision Science. The primary duties will involve assisting, advising and training researchers in the Vision Science Group to 1) construct and maintain pipelines for standard preprocessing tasks of single-cell or bulk RNAseq or genomic data sets and large imaging or electrophysiology data sets, 2) carry out data normalization, batch correction, dimensionality reduction, clustering, visualization, and differential gene expression analysis, and 3) develop computational pipelines in the form of Jupyter notebooks (R and Python) that contain both editable code and extensive commentary, and maintain them in a common repository. A successful candidate will become part of a vibrant community of researchers and have the opportunity to contribute to a wide variety of collaborative projects in vision science and neuroscience. They will also establish and nurture relationships with research groups through 1:1 and group meetings. From time to time, duties will also include oral and written dissemination of analyses for meetings and for publication. The position holds excellent career development opportunities including, but not limited to: co-authorship on publications, participation in symposia and conferences, and networking opportunities within and outside campus with vision scientists.

School : https://optometry.berkeley.edu/

Qualifications
Basic qualifications (required at time of application)
Master’s degree or equivalent international degree

Preferred qualifications
1) Master’s degree or equivalent international degree in Data Science or Bioinformatics or Computational/Systems Biology
2) A background in neuroscience, vision science, electrophysiology and/or imaging techniques
3) proficiency with R, Python, Jupyter Notebooks and Github
4) understanding of single cell transcriptomics and/or RNAseq and basic molecular biology; experience with integrative multi-omics approaches is a strong plus
5) proficiency with analytical methods in bioinformatics
6) experience in coordinating and communicating with groups of people from diverse backgrounds
7) Superb organizational and time-management skills
8) experience with the cloud-computing (AWS, Google Cloud, Terra)
9) strong desire to develop new skills and adapt to new methods and technologies in a collaborative setting.

Application Requirements

Document requirements
Curriculum Vitae – Your most recently updated C.V.

Cover Letter

Reference requirements

3 required (contact information only)
letters of reference will only be solicited for finalist
Apply link: https://aprecruit.berkeley.edu/JPF04413

Help contact: alewis@berkeley.edu

About UC Berkeley

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.

Please refer to the University of California’s Affirmative Action Policy and the University of California’s Anti-Discrimination Policy .

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, California

To apply, visit https://aprecruit.berkeley.edu/JPF04413

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