Post-doctoral opportunities in Translational Bioinformatics at UCSF
The laboratory of Dr. Marina Sirota at UCSF is seeking highly motivated investigators to develop and study novel approaches in translational bioinformatics, or the application of analytic and interpretive methods to optimize the transformation of genomic and clinical data into precision medicine. We are currently recruiting investigators interested in focusing on using omics and integrative approaches to study pregnancy outcomes with a focus on preterm birth.
Ideal candidates will have an M.D. and/or Ph.D. with a strong background in bioinformatics, computational biology, biostatistics, and genomics, and a great publication record.
Strong problem-solving skills, creative thinking, and the ability to build new software tools as needed are required. Applicants must possess good communication skills and be fluent in both spoken and written English. A background in molecular biology or medicine or pharmacology will be a strong plus. Prior experience with genetic, microarray, drug, or clinical databases, text-mining, knowledge representation, or parallel computing platforms is a plus. This exciting work will be guided by multidisciplinary collaborations with top scientists in neonatology, genetics, environmental science, immunology and microbiome research at UCSF.
To apply, please send your CV, a brief statement of research interests, and contact information for three references in one PDF document to firstname.lastname@example.org. Rotation Students
The Sirota Lab has openings each quarter for rotating students.
You will be expected to spend close to the theoretical 50% working in the lab, and spend that 50% in our office-space in Mission Hall.
You will meet with the PI on a bi-weekly basis.
You will need to interact with the Post-doctoral Fellows and graduate students.
You are expected to attend the weekly laboratory meetings .
You will be expected to present to the laboratory in the presentation rotation.
You are strongly encouraged to submit a paper on your work, even though it is just a rotation project.
What you will learn:
R is the open-source statistical software package we preferentially use.
Perl is the scripting/programming language we preferentially use, because most of our programs are quite small. We use Python for larger programs.
MySQL is the open-source database software package we preferentially use.
We accept students through the UCSF Summer Internship Program. Exceptional candidates outside the program will be considered, especially if the applicants have fellowship funding and a track-record of publications in biomedical informatics.