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Senior Research Scientist

3 months ago

New Brunswick, Canada Rutgers University Full time
Job Category Staff & Executive - Research (Laboratory/Non-Laboratory)
Department Office of Advanced Research Computing

Rutgers, The State University of New Jersey, is a leading national research university and the State of New Jersey's preeminent, comprehensive public institution of higher education.

As one of the largest employers in the State of New Jersey, Rutgers University is committed not only to the students and the State that we serve, but also to the faculty and staff who work on our campuses.

Rutgers' commitment to its employees includes maintaining and fostering a safe, diverse, and respectful workplace environment, creating employment opportunities for our nation's military veterans, and ensuring accessibility and accommodation for individuals with disabilities.

Rutgers, The State University of New Jersey, is seeking a Senior Scientist Research Computing Office of Advanced Research Computing ( OARC ).

OARC is a large and diverse team working to create an outstanding environment for research computing at Rutgers.

A key part of OARC's responsibility to the University is to ensure that we are seeking and supporting the best solutions for constantly evolving computational research challenges.

Doing that effectively requires us to carefully address the needs of the community we serve and to ensure that our support networks are diverse, inclusive, and equitable.

Diversity is welcome and encouraged here because it fuels innovation and ensures exploration of the broadest range of possible solutions to research problems.

Inclusivity and respect for all points of view empower the decision making and policy development that are the framework of a productive research support organization.

Prioritizing equity ensures access to resources needed to support the ideas, initiatives, and efforts of all contributors to our research support operations.

Helps to develop new and install and adapt existing data science and machine learning tools for research workflows and analytical pipelines for data being created in molecular and cellular biology and genomics, as well as engineer new toolsets that include AI models and Deep Learning algorithms developed in-house.

Supports the Rutgers University research community, as well as other research disciplines, in their research computing and data related research.

Engages in local outreach on the Rutgers campuses (Rutgers Biomedical and Health Sciences, New Brunswick, Newark and Camden) to identify potential new users of research computing and data resources.

Works closely with faculty, post-doctoral associates, students, and research staff to understand their research to allow for the customization of workflows, training, and support, and has an opportunity to grow analytical and informatics team based on demand for biomedical and clinical informatics services.

Position Status Position Status Full Time
Daily Work Shift

Consistent with the current application of Rutgers Policy 60.The flexible work arrangements outlined in Rutgers Policy 60.Therefore, there is no guarantee that this flexible work arrangement will continue beyond that date.

Flexible work arrangements are not permanent, are subject to change or cancellation and contingent on the employee receiving approval in the Application System.

A minimum of four (4) years' experience supporting computationally intensive and/or data intensive research projects or equivalent work.
Certifications/Licenses Required Knowledge, Skills, and Abilities
Enjoy working in a dynamic and flexible team environment and have a positive attitude.
Able to work with minimal supervision and demonstrate a history of self-motivation.

Demonstrate an appreciation for a wide range of computer and data-intensive research and be experienced in at least one of the STEM (Science, Technology, Engineering, or Mathematics) areas.

Strong background in scientific programming
Proficient in at least one programming language, preferably Python or R, and work in a Unix-like system.
Familiar with standards and best practices for open science and FAIR (Findable, Accessible, Interoperable, and Reusable) research software ( )
Demonstrate deep knowledge of statistical methods and will demonstrate practical knowledge of machine learning model building and deployment.
Will have produced compelling visualizations telling stories with data.

Knowledgeable of research processes and language in biological or medical fields and be able to effectively communicate and support researchers in these domains with technological and methodological expertise.

D. in a related field.
Understanding of how advanced research computing technologies are used to enable scientific discovery.
Familiarity with data-intensive computing environments
Experience applying advanced software tools and computing technologies in a dynamic and diverse research setting.
Experience with national scientific computing initiatives such as the Open Science Grid ( OSG ), ACCESS , and CloudLab as well as familiarity with prominent cloud services providers

Understanding user requirements and translating those requirements into functional and dependable solutions, working with scientific programming languages and troubleshooting skills.

Experience with software containerization in particular with Docker, Singularity and K8s
Visual acuity to perform activities such as: viewing a computer terminal, reading, analyzing written information/data, etc.
Home Location Campus Rutgers University - New Brunswick
Position Information Recruitment/Posting Title Senior Scientist Research Computing Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department Office of Advanced Research Computing Overview

Rutgers, The State University of New Jersey, is a leading national research university and the State of New Jersey's preeminent, comprehensive public institution of higher education.

As one of the largest employers in the State of New Jersey, Rutgers University is committed not only to the students and the State that we serve, but also to the faculty and staff who work on our campuses.

Rutgers' commitment to its employees includes maintaining and fostering a safe, diverse, and respectful workplace environment, creating employment opportunities for our nation's military veterans, and ensuring accessibility and accommodation for individuals with disabilities.

Posting Summary

Rutgers, The State University of New Jersey, is seeking a Senior Scientist Research Computing Office of Advanced Research Computing ( OARC ).

OARC is a large and diverse team working to create an outstanding environment for research computing at Rutgers.

A key part of OARC's responsibility to the University is to ensure that we are seeking and supporting the best solutions for constantly evolving computational research challenges.

Doing that effectively requires us to carefully address the needs of the community we serve and to ensure that our support networks are diverse, inclusive, and equitable.

Diversity is welcome and encouraged here because it fuels innovation and ensures exploration of the broadest range of possible solutions to research problems.

Inclusivity and respect for all points of view empower the decision making and policy development that are the framework of a productive research support organization.

Prioritizing equity ensures access to resources needed to support the ideas, initiatives, and efforts of all contributors to our research support operations.

Helps to develop new and install and adapt existing data science and machine learning tools for research workflows and analytical pipelines for data being created in molecular and cellular biology and genomics, as well as engineer new toolsets that include AI models and Deep Learning algorithms developed in-house.

Supports the Rutgers University research community, as well as other research disciplines, in their research computing and data related research.

Engages in local outreach on the Rutgers campuses (Rutgers Biomedical and Health Sciences, New Brunswick, Newark and Camden) to identify potential new users of research computing and data resources.

Works closely with faculty, post-doctoral associates, students, and research staff to understand their research to allow for the customization of workflows, training, and support, and has an opportunity to grow analytical and informatics team based on demand for biomedical and clinical informatics services.

Position Status Full Time Hours Per Week Daily Work Shift Work Arrangement

Consistent with the current application of Rutgers Policy 60.The flexible work arrangements outlined in Rutgers Policy 60.Therefore, there is no guarantee that this flexible work arrangement will continue beyond that date.

Flexible work arrangements are not permanent, are subject to change or cancellation and contingent on the employee receiving approval in the Application System.

50 Union Description HPAE, Local 5094 Payroll Designation PeopleSoft Benefits Rutgers offers a comprehensive benefit program to eligible employees. Rutgers also offers a benefit program to eligible full-time postdoctoral fellow students. For details, please go to Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience
A minimum of four (4) years' experience supporting computationally intensive and/or data intensive research projects or equivalent work.
Certifications/Licenses Required Knowledge, Skills, and Abilities
Enjoy working in a dynamic and flexible team environment and have a positive attitude.
Able to work with minimal supervision and demonstrate a history of self-motivation.

Demonstrate an appreciation for a wide range of computer and data-intensive research and be experienced in at least one of the STEM (Science, Technology, Engineering, or Mathematics) areas.

Strong background in scientific programming
Proficient in at least one programming language, preferably Python or R, and work in a Unix-like system.
Familiar with standards and best practices for open science and FAIR (Findable, Accessible, Interoperable, and Reusable) research software ( )
Demonstrate deep knowledge of statistical methods and will demonstrate practical knowledge of machine learning model building and deployment.
Will have produced compelling visualizations telling stories with data.

Knowledgeable of research processes and language in biological or medical fields and be able to effectively communicate and support researchers in these domains with technological and methodological expertise.

D. in a related field.
Understanding of how advanced research computing technologies are used to enable scientific discovery.
Familiarity with data-intensive computing environments
Experience applying advanced software tools and computing technologies in a dynamic and diverse research setting.
Experience with national scientific computing initiatives such as the Open Science Grid ( OSG ), ACCESS , and CloudLab as well as familiarity with prominent cloud services providers

Understanding user requirements and translating those requirements into functional and dependable solutions, working with scientific programming languages and troubleshooting skills.

Experience with software containerization in particular with Docker, Singularity and K8s
Visual acuity to perform activities such as: viewing a computer terminal, reading, analyzing written information/data, etc.

Special Conditions Posting Details Posting Number 24ST0981 Posting Open Date 04/24/2024 Special Instructions to Applicants Regional Campus Rutgers University-New Brunswick Home Location Campus Rutgers University - New Brunswick City Piscataway State NJ Location Details Pre-employment Screenings All offers of employment are contingent upon successful completion of all pre-employment screenings.

Immunization Requirements Under Policy 100.1 Immunization Policy for Covered Individuals , if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption.

Additional infection control and safety policies may apply.

Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying.

Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination.

Affirmative Action/Equal Employment Opportunity Statement It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law.

As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment.

For additional information please see the Non-Discrimination Statement at the following web address:
Required fields are indicated with an asterisk (*).

  • Do you have a minimum of four (4) years' experience supporting computationally intensive and/or data intensive research projects or equivalent work?'

Optional Documents It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law.

As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment.

In compliance with the Americans with Disabilities Act (ADA) and the New Jersey Law Against Discrimination (NJLAD), if you have a disability and would like to request an accommodation with regard to your access to and/or your participation in the application and selection processes (for example, the online application process or interviews), please call or e-mail us .

Rutgers University is an equal access/equal opportunity institution.

If you have trouble accessing this page because of a disability, please contact us at 732.For technical assistance with the applicant tracking system (login, filling out your application, resetting your password, etc.) please contact the ROCS Help Desk at or .

To learn more about Rutgers University's commitment to diversity and inclusion on its campuses, click here . #