Assistant Professor - Tenure Track

Description

Jan and Dan Duncan Neurological Research Institute:
The Jan and Dan Duncan Neurological Research Institute (NRI) fosters a multidisciplinary, collaborative environment to understand the genetic causes of various pediatric and adult neurological diseases and to translate discoveries into novel therapeutic strategies. Currently, the NRI is home to 30 principal investigators and more than 250 scientists and trainees. Ten state-of-the-art core labs support the ongoing work at the NRI.

Summary
Baylor College of Medicine & the Jan and Dan Duncan Neurological Research Institute are inviting applications for a full-time, tenure-track faculty position in Computational Biology/Bioinformatics, at the Assistant Professor level, to start in the summer or fall of 2020. We seek exceptional scientists with strong quantitative background and broad expertise in developing and applying advanced computational and machine learning techniques that leverage complex/large-scale datasets, to gain novel insights into the fundamental and translational aspects of neurological disorders.

The successful applicant should demonstrate expertise and interest in the ongoing basic and translational investigations of neurological conditions including autism, Rett syndrome, ALS, Alzheimer's, Parkinson's and more. Should be well versed in conceptualizing and conducting hypothesis-driven investigations of speciļ¬c biological phenomena. Develop and apply novel computational tools to integrate and extract molecular insights from high throughput sequencing data.

Applicants should have exciting lines of proposed investigations related to neurological disorders with a focus on (i) RNA bioinformatics: including gene regulation, isoform specific networks, alternative splicing, alternative polyadenylation, RNA-Protein interactions (RNA binding proteins) and more in neuro degeneration. (ii) Interactomics: Gene-gene, protein-protein and DNA-protein interactions, and respective disease implications. (iii) Whole genome and Exome sequence analysis: Genetic, structural, non-coding variants & more.

Candidates with the required expertise are encouraged to apply by submitting a cover letter; Curriculum Vitae (including a full bibliography); summary of research interests & objectives; names & addresses of at least three references; and a two-page summary of research contributions including a listing of three to five important projects that demonstrate both independent and collaborative research with a short comment on the significance of your contributions (less than 90 words each).

Job Duties
The successful candidate will be expected to establish an independent, externally-funded research program aligning with and complementing the ongoing research at the NRI. She or he will collaborate with scientists, physicians, and physician-scientists from a range of disciplines. In addition to the research strengths in genetics, neurology, and neuroscience, the NRI has expertise in bioinformatics, computational and applied mathematics, neuropsychiatry, neurosurgery, and pediatrics. Teaching and mentoring students and trainees at all levels will be an integral part of the position.


What to expect:

The position offers outstanding scholarly and scientific resources. The successful candidate will be provided laboratory space in the Neurological Research Institute building, and generous start-up support. This is a 12-month, full-time, tenure-track appointment. Salary is competitive and will be commensurate with qualifications/experience. Joint appointments with other departments will be supported.


Qualifications

Minimum Qualifications
1. Candidates must have a Ph.D. in bioinformatics, computational biology, or other related field;
2. Postdoctoral experience with a track record demonstrating successful research;
3. Demonstrated strong publication record in scholarly journals;
Excellent communication and interpersonal skills.


Start date

As soon as possible

How to Apply

jobs.bcm.edu/job/Houston-Assistant-Professor-Neurology-NRI-Bioinformatics-Texa/639221000/?locale=en_US