Postdoctoral Research Associate (Proteomics and Multiomics in Neurodegeneration) - Psychiatry

4444 Forest Park Ave.

Washington University in St. Louis

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Position SummaryThe Cruchaga lab at Washington University School of Medicine is recruiting multiple Postdoctoral Research Associates.

The Cruchaga lab generates and analyzes high-throughput multi-omic data to study neurodegeneration and diseases of the central nervous system with emphasis on Alzheimer’s disease, Parkinson’s disease, and other dementias. The ultimate goal of the lab is to understand the biology of these diseases, to define novel biomarkers, and to identify novel therapeutical targets. We have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models for Alzheimer’s, Parkinson, and Dystonia as well as to identify novel proteins and pathways implicated on disease pathogenesis. We are currently analyzing brain, CSF and blood, multi-omic data (transcriptomics, proteomics and metabolomics), from a large collection of well-characterized samples to identify novel biomarker and causal and druggable targets.

We are seeking a motivated researcher with strong analytical skills to join our effort and generate novel insights of neurodegeneration with this unique dataset, while working in a highly dynamic multidisciplinary and collaborative environment. Will join a large team, currently twenty members, which is led by three faculty members and three senior scientists. Our current research projects include the analyses of: Plasma, CSF and Brain Proteomic and metabolomics analysis; Biomarker identification through the use of machine learning approaches; and Multi-omics data integration with genomics, transcriptomics and methylomics data.

Job Description

Primary Duties & Responsibilities:

Information on being a postdoc at Washington University in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/.

For more information on the lab please visit https://cruchagalab.wustl.edu/.

Working Conditions

This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide standard care to research animals.

Salary Range

Base pay is commensurate with experience.

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.

Required Qualifications

Education:

Ph.D., M.D. Or Equivalent Terminal Or Doctoral Degree.


Certifications:

No specific certification is required for this position.


Work Experience:

No specific work experience is required for this position.


Skills:

Not Applicable


Driver's License:

A driver's license is not required for this position.

More About This Job

Required Qualifications

  • The successful applicant will hold, or shortly expects to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets.
  • A hands-on experience with large-scale human omics (preferably related to neurodegeneration) studies is expected.

Preferred Qualifications

  • Solid skills in at least one programming language (R, Python or Perl) and experience working in Linux and/or high-performance cluster environments.
  • A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be critical. In addition, familiarity to interrogate publicly available resources will be highly beneficial.

Preferred Qualifications

Education:

No additional education beyond what is stated in the Required Qualifications section.


Certifications:

No additional certification beyond what is stated in the Required Qualifications section.


Work Experience:

No additional work experience beyond what is stated in the Required Qualifications section.


Skills:

Analytical Thinking, Biomarkers, Data Analysis, Genomics, Metabolomics, Neurodegenerative Diseases, Predictive Modeling, Proteomics, Transcriptomics, Work Collaboratively

Questions

For frequently asked questions about the application process, please refer to our External Applicant FAQ.

Accommodation

If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.

All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.

Pre-Employment ScreeningAll external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Benefits StatementWashington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.

EEO/AA StatementWashington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from underrepresented groups. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.

Diversity StatementWashington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment – fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Bioinformatics Biology Classification Computer Science Data analysis Linux Machine Learning Perl PhD Postdoc Predictive modeling Python R Research Statistics

Perks/benefits: Career development Competitive pay

Region: North America
Country: United States

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