Research Fellow - Systems Pharmacology and Medicine

Molecular Pharmacology & Experimental Therapeutics
Position description
Systems Biologist Postdoctoral Position at Mayo Clinic
We are looking for a highly motivated individual to join our integrative computational and experimental team to help develop and implement computational methods to analyze and integrate various high throughput datasets. Specifically, the candidate will develop methods for computational analysis of various types of high-throughput datasets to probe the function and mechanism of regulators in disease. This will include to design and apply algorithms to analyze and integrate data from RNA-seq, DNA-seq, CHIP-seq, epigenetics, proteomics, and genetic perturbation data. We are seeking a dependable and creative individual with superb statistical intuition, strong computer programming skills, and a strong interest in the biological sciences. The candidate will adapt easily to changing needs and priorities of a fast-paced research environment and will work closely with other technical staff, graduate students, post-doctoral fellows, and lab head in developing and applying computational and statistical methods.

Responsibilities include; Implements statistical methods and computational algorithms for analyzing large-scale datasets that are essential to the overall project success, analyzes diverse data types to extract biologically relevant findings, distills information into biologically relevant findings which are communicated to the team in writing and/or verbally, writes and oversees the development of analytical pipelines to standardize the analysis needs of the overall project, analyzes experimental data and identifies methodological problems, adjusts existing algorithms to ensure project completion in a timely fashion, works directly with team leader and other lab members to refine computational methods and ensure project completion in a timely fashion, works closely with experimental scientists to analyze and iterate through experimental data and designs, attends team meetings to share results, plan projects and experiments, and to ensure that projects support current team goals in a dynamic environment, maintains a detailed plan to ensure successful and timely completion of required tasks, will help other technical staff, graduate students, and post-doctoral fellows in data analysis and computational methods as needed, consults with other senior scientists or scientific literature as needed.

800146; J2WRTP
PhD degree in computational systems biology and systems pharmacology, proficiency in at least one programming language required, working knowledge of the Unix operating system, excellent communication skills and the ability to interact professionally with all levels of staff across different areas of expertise (both experimental and computational), must be organized and manage your own time well, ability to handle a variety of tasks simultaneously required, must be able to use sound judgment to handle a variety of tasks and to shift priorities simultaneously, as well as to effectively solve problems, must possess a high level of initiative and the ability to work with little supervision.
Additional qualifications
Prior experience working in systems biology or systems pharmacology a strong plus, familiarity with high-throughput sequencing data, deep machine learning and network algorithms a plus.

Benefits eligible
Full Time
Site description
Mayo Clinic is located in the heart of downtown Rochester, Minnesota, a vibrant, friendly city that provides a highly livable environment for more than 34,000 Mayo staff and students. The city is consistently ranked among the best places to live in the United States because of its affordable cost of living, healthy lifestyle, excellent school systems and exceptionally high quality of life.
Postdoc & Temporary Research
Career profile
Post Doctoral Research
Medical Genetics, Other
Job posting number
Kara Schott
Equal opportunity employer
Mayo Clinic is an equal opportunity educator and employer (including veterans and persons with disabilities).