Scientific Consultant - Part-Time
Scientific Consultant - Part-Time
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1 Vacancy
Job Description
APPLICATION INSTRUCTIONS:
CURRENT PENN STATE EMPLOYEE (faculty staff technical service or student) please login to Workday to complete the internal application process. Please do not apply here apply internally through Workday.
CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State please login to Workday to complete the student application process. Please do not apply here apply internally through Workday.
If you are NOT a current employee or student please click Apply and complete the application process for external applicants.
Approval of remote and hybrid work is not guaranteed regardless of work additional information on remote work at Penn State seeNotice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
Job Description:
The U.S. National Science Foundation National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at Penn State University is seeking a highly motivated and detail-oriented individual to join our team as a Scientific Consultant (Hours will vary depending on project needs and requested support). NCEMS is a national resource synthesizing diverse data to gain new insights and understanding of emergent properties in complex molecular and cellular systems. This position will support the scientific research agenda of our Working Groups through interactions with NCEMS Staff Scientists Postdoctoral Scholars and Staff Scientist Assistants.
Responsibilities:
Provide on-demand scientific expertise and support to NCEMS including but not limited to: developing and implementing computational methods for integrating analyzing and visualizing molecular and cellular biology data; wrangling harmonizing and standardizing biological datasets; implementing comprehensive quality control and quality assurance protocols to ensure data accuracy consistency reliability and reproducibility; providing guidance on bioinformatics and computational biology tools and pipelines; supporting the publication of intermediate data products code and documentation; and developing and maintaining analysis pipelines compliant with NCEMS Open Science standards.
Required Qualifications:
- Skills: Proficiency in computational and data science methods relevant to advancing NCEMS Working Group research.
- Experience: Current Penn State graduate student with demonstrated expertise in computational biology bioinformatics or a related data-intensive discipline.
- Attributes: Strong attention to detail ability to rapidly learn new software tools and databases and a commitment to providing high-quality scientific support.
Schedule and Compensation: Hours are variable and determined on an as-needed basis in consultation with NCEMS staff.
Applications should include a current resume; references can be provided at a later date upon request.
For more information about NCEMS visit NCEMS Website.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988 Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security such as those concerning alcohol and drug use crime prevention the reporting of crimes sexual assault and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race color religion age sex sexual orientation gender identity national origin disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability please contact .
Required Experience:
Contract
Employment Type
Part-Time
