In development a single cell goes through a series of repeated divisions and these cells read the program encoded in their DNA in order to become familiar cell types such as those found in muscle, liver or our brains. The goal of our lab is to uncover the rules behind these decisions with the objective of predicting and manipulating developmental programs from just looking at DNA sequence. In order to reach this predictive understanding we combine physics, synthetic biology and new technologies to query and control developmental decisions in real time at the single cell level in the fruit fly embryo.
The Garcia lab is looking for a computer scientist who can aid in the development of statistical inference algorithms to extract promoter dynamics out of single molecule fluorescence traces of transcriptional activity. The ideal candidate will have previous experience with Bayesian inference and its implementation using Markov Chain Montecarlo, and be proficient in running these algorithms in the cloud or large clusters. Further, the ideal candidate will have experience in designing Graphical User Interfaces to facilitate the use of the developed code by researchers without computer science experience. The ideal candidate will contribute original research, interpret data models, and collaborate with the PI on data collection.
Minimum/Basic Qualifications Required (At the time of application):
Bachelor’s degree, or equivalent degree, in Computer Science or a related field.
Additional Required Qualifications (By start date):
The successful candidate will have ample experience with the use of Markov Chain Monte Carlo algorithms for statistical inference.
Preferred qualifications (By start date):
Excellent communication skills and careful attention to detail.
This position reports to Dr. Hernan Garcia. The initial appointment will be at 100% time for 1 year with the possibility of extension based on satisfactory performance and availability of funding. The approximate start date of this position will be March 2018.
Salary: $18.26/hour – $19.48/hour at 100% time, depending on qualifications. This position provides full benefits.
Interested individuals should submit application documents as PDFs, which includes, an updated curriculum vitae, and names with contact information for at least 3-5 individuals who have agreed to provide a reference for this specific position and a cover letter. (Letters of reference may be requested of the finalists).
Specific questions regarding the recruitment can be directed to Terri Leong, HR Partner, firstname.lastname@example.org
This recruitment will remain open until filled.
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 (http://apo.berkeley.edu/evalltr.html) prior to submitting their letters.
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: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct.
The department is interested in candidates who will contribute to diversity and equal opportunity in higher education through their work.
Curriculum Vitae - Your most recently updated C.V.
Cover Letter (Optional)