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Assistant / associate / full project scientist - and department of biology


University of California Berkeley


Location

Berkeley, CA | United States


Job description

Assistant/Associate/Full Project Scientist-Daniela Kaufer and Peter Sudmant labs in the Department of Integrative Biology

Position overview Position title: Assistant/Associate/Full Project Scientist

Salary range: The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table 37A for the current salary scale for this position: The current base salary range for this position is $71,600-$101,500 annually. "Off-scale" salaries, which yield compensation that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions.

Percent time: 100%

Anticipated start: April 2024

Position duration: One year with the possibility of extension based on performance and availability of funding.

Application Window

Open date: February 13, 2024

Next review date: Wednesday, Feb 28, 2024 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 15, 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 Kaufer and Sudmant labs in the Department of Integrative Biology at the University of California, Berkeley are seeking applications for an Assistant, Associate, or Full Project Scientist. The position will report to Professor Daniela Kaufer.

The Kaufer Lab investigates molecular events that underlie brain plasticity and deterioration in the face of stress and neurological insults throughout life. They are primarily a molecular neuroscience lab but use interdisciplinary approaches ranging from cell culture to behavioral analysis, and frequently collaborate to expand their methods of analysis to include high-resolution imaging, electrophysiology, and high-throughput methods.

The Sudmant Lab uses computational, statistical, and experimental methods to interrogate genetic and molecular phenotypic diversity at both the organismal and cellular level. They study the evolution, causes, and consequences of aging as well as the evolution of genome structure and cellular diversity.

This position will focus on leading scientific projects pertaining to brain aging, resilience, genomics, genome structure, and cellular diversity using computational and statistical approaches. The candidate will interface closely with the Berkeley Center for the Study of Resilience which has a focus on critically understanding the resilience mechanisms that keep brains healthy in the face of perturbation and age. A major focus of the project scientist's work will be to lead projects related to somatic structural variation during aging, specifically focused on the aging brain.

Key Responsibilities Include:
Lead research projects in the lab related to somatic structural variation throughout aging by carrying out experiments and computational analyses.
Supervise other lab employees and undergraduate researchers as needed.
Perform quantitative analyses of long read sequencing data, interpret, and present data.
Draft and publish scientific manuscripts outlining results.
Contribute to lab collaborative projects.
Contribute to grant writing and securing funding to support research.

Specific Responsibilities include:
Conceive, design, and execute studies to interrogate changes in somatic structural variation during aging.
Work closely with collaborating labs to move projects forward.
Publish and contribute to academic papers.

Qualifications

Basic qualifications (required at time of application)
PhD (or equivalent international degree)

Additional qualifications (required at time of start)
Ph.D (or equivalent) in genetics, genomics, biology, computer science or related fields and 8+ years of experience in an academic or industry research setting.

Demonstrated record of productivity and publications.

Preferred qualifications
Extensive experience with analysis of genomics and functional genomics data including: analyses of somatic mutation, ATAC-seq, chromatin profiling, and expression data, including single cell analysis, and track record of mastering new techniques and technologies.

Expertise in the biology of aging and experience working on at least one neurological disease.

Strong biological background and understanding of molecular biology as well as a strong background in the biology of aging and human diseases of aging. In this role, the candidate will be expected to conceive, design, carry out, and troubleshoot genomics and functional genomics experiments including single cell experiments and long read sequencing experiments, and to apply cutting-edge computational methods to analyze datasets.

A combination of computational and wet lab experience across a variety of genomics and functional genomics technologies and modalities.

Demonstrated ability to manage employees, manage active collaborations with other academic groups, and work independently.

Demonstrated experience with translational research, including preclinical and clinical research.

Track record of developing and applying new computational and statistical methods tailored to analyzing novel datasets.

Strong coding skills in Python and/or R.

Experience in interdisciplinary collaborations as well as have experience with managing more junior scientists.

Excellent organizational management; demonstrated ability to multi-task within demanding time-frames, working both independently and as part of a team.

Track record of effective cross-functional collaboration.

Excellent oral and written communication skills and strong interpersonal skills.

Application Requirements

Document requirements Reference requirements Apply link:

Help contact: [email protected]

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. For the complete University of California nondiscrimination and affirmative action policy see:

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

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