Postdoctoral Scholar Fellow

Employer
University of California Los Angeles
Location
Los Angeles, California
Salary
DOE
Closing date
Oct 29, 2022

View more

Field of specialization
Biochemical
Work Function
Research-Basic
Job Type
Full time
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Postdoctoral Scholar Fellow

 

University of California Los Angeles

 

Requisition Number: JPF07724

 

UCLA Chemistry DataX Fellow

 

Do you want to help advance groundbreaking research through data analysis and software development? Do you have a background in research but love to write code and analyze data? Are you looking to apply your data science and computational skills to exciting new research problems? If so, then we have an excellent opportunity for you.

UCLA is building a community of data scientists who will work in partnership with UCLA's world-renowned faculty and students to advance data-driven research. You will work with faculty in a collaborative, multidisciplinary environment, and actively contribute your skills to advance scientific discovery. You will have access to UCLA's first-class resources, the opportunity to co-author academic publications, and to offer short courses and workshops on data science. You will also have the opportunity to collaborate with, and learn from, the larger computational data science community at UCLA.

 

The research area of particular interest is in chemical synthesis and catalysis - led by Professor Abigail Doyle in the Department of Chemistry and Biochemistry.

Prior experience in chemistry (experimental or computational) is an asset but is not required. You will be mentored in the relevant research area. If you have a strong background in scientific programming, data analysis, and an interest in contributing to groundbreaking research, you have the right foundations.

These are 3-year appointments offering a very competitive salary and excellent opportunities for growth and career development. The positions are part of the DataX initiative at UCLA.

 

Responsibilities:

 

• Collaborate with interdisciplinary research teams and creatively develop/apply modern data science, statistics, and machine learning techniques to advance the research underway.

• Coding/algorithmic prototyping of relevant analysis methods, including setting goals, measuring progress, and the creation of documentation.

• Collaborate with, educate, convene, and support a broad community of researchers on campus in how to best leverage data science in their teaching and research. This may include contributing to mini-courses and workshops on data science.

• Communicate results and impact to all stakeholders. This may include presenting research at academic conferences and workshops.

Required Qualifications:

 

• Ph.D. required in computer science or related discipline; or equivalent combination of educational training, relevant experience, and accomplishments.

• Strong coding/algorithm prototyping skills, and the ability to explain and document work.

• Proficiency in one or more of the following: Python, Numpy, Pandas, R, C, C++, SQL.

• Experience in at least one of the following areas: data analysis, statistics, machine learning, scientific computing; or commensurate achievements.

Additional Desired Qualifications

 

• Strong problem-solving skills, and a passion for answering hard questions with data.

• The ability to communicate complex ideas to relevant stakeholders.

• Experience in a collaborative, multi-disciplinary research environment, and an eagerness to collaborate with both technical and non-technical colleagues.

• Experience in database design and building data-driven web applications.

 

To apply, please visit: https://apptrkr.com/3408167

 

The University of California 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: UC Nondiscrimination & Affirmative Action Policy, https://policy.ucop.edu/doc/4000376/DiscHarassAffirmAction

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