Penn Foster
Research Scientist
Penn Foster, Pittsburgh, Pennsylvania, us, 15289
Research Scientist
Med-Immunology - Pennsylvania-Pittsburgh - (23004378)
Conducts independent scientific research projects from inception to presentation. Prepares and crafts various documentations of research results into manuscripts, proposals, grant applications, and presentations. Trains undergraduates and research technicians. Manages laboratory policies and coordinates project development in collaboration with other specialists.
One fully funded Research Scientist position is immediately available in the laboratories of Dr. Jishnu Das and Dr. Harinder Singh at the Center for Systems Immunology (CSI), University of Pittsburgh School of Medicine. The University of Pittsburgh currently ranks third in NIH biomedical research funding, and the CSI provides a unique environment accelerating innovation at the interface of systems biology, cellular and molecular immunology and translational clinical research. Dr. Singh is the Director of the CSI, and Dr. Das is a Core CSI Faculty Member. We are physically located in the Assembly Building, a new state-of-the-art research and innovation hub. We are seeking candidates with expertise in machine learning (especially deep learning) and network approaches, to work on systems immunology research funded by a NIAMS P50.
The first direction involves the application of machine learning approaches in the context of a range of immunological disorders.
The second direction involves studying the impact of genetic variation on gene regulatory networks in autoimmune diseases.
Both directions provide ample opportunities for very creative method development, and for applications of these techniques to questions of very high relevance to human health and disease. Our research program is highly interdisciplinary, and we provide a training environment tailored to individuals, based on their background and interests. There are several career development opportunities including support for conference travel as well as mentorship and guidance to apply for funding/career development awards. Visa sponsorship is available. Salary will be commensurate with experience.
Qualifications:
Candidates must have a PhD in a quantitative discipline and have at least 5 years of postdoctoral experience. Possible disciplines include, but are not limited to, computational biology, bioinformatics, systems biology/systems immunology, bioengineering/biomedical engineering, and genomics. The ideal candidate will have requisite machine learning (especially deep learning) and network analysis skills. Strong programming skills are essential. Candidates with training in immunology would be preferred, but this is not essential.
Start Date:
Immediate
Please email applications (including cover letter, CV, and names and email addresses of 3 references) to Dr. Jishnu Das at jishnu@pitt.edu and Dr. Harinder Singh at harinder@pitt.edu.
The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.
The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity, and diversity. EOE, including disability/vets.
The University of Pittsburgh requires all Pitt constituents (employees and students) on all campuses to be vaccinated against COVID-19 or have an approved exemption. Visit coronavirus.pitt.edu to learn more about this requirement.
Assignment Category:
Full-time regular
Job Classification:
Staff.Research Scientist
Job Family:
Research
Job Sub-Family:
Research Science
Campus:
Pittsburgh
Minimum Education Level Required:
Professional Doctorate Degree
Minimum Years of Experience Required:
5
Will this position accept substitution in lieu of education or experience?
Combination of education and relevant experience will be considered in lieu of education and/or experience requirement.
Additional details about Required Licensure/Certification:
The ideal candidate will have requisite machine learning (especially deep learning) and network analysis skills. Strong programming skills are essential. Candidates with training in immunology would be preferred, but this is not essential.
Work Schedule:
Monday - Friday, 8:30 a.m. - 5:00 p.m.
Work Arrangement:
On-Campus: Teams that work on campus, in an office, or in a lab.
Hiring Range:
$53,617 to $89,361 Annual.
Relocation Offered:
No
Visa Sponsorship Provided:
Yes
Background Check:
For position finalists, employment with the University will require successful completion of a background check.
Child Protection Clearances:
Not Applicable
Required Documents:
Resume
Optional Documents:
Cover Letter
Essential Functions:
The first direction involves the application of machine learning approaches in the context of a range of immunological disorders.
The second direction involves studying the impact of genetic variation on gene regulatory networks in autoimmune diseases.
Physical Effort:
Minimal
#J-18808-Ljbffr
Med-Immunology - Pennsylvania-Pittsburgh - (23004378)
Conducts independent scientific research projects from inception to presentation. Prepares and crafts various documentations of research results into manuscripts, proposals, grant applications, and presentations. Trains undergraduates and research technicians. Manages laboratory policies and coordinates project development in collaboration with other specialists.
One fully funded Research Scientist position is immediately available in the laboratories of Dr. Jishnu Das and Dr. Harinder Singh at the Center for Systems Immunology (CSI), University of Pittsburgh School of Medicine. The University of Pittsburgh currently ranks third in NIH biomedical research funding, and the CSI provides a unique environment accelerating innovation at the interface of systems biology, cellular and molecular immunology and translational clinical research. Dr. Singh is the Director of the CSI, and Dr. Das is a Core CSI Faculty Member. We are physically located in the Assembly Building, a new state-of-the-art research and innovation hub. We are seeking candidates with expertise in machine learning (especially deep learning) and network approaches, to work on systems immunology research funded by a NIAMS P50.
The first direction involves the application of machine learning approaches in the context of a range of immunological disorders.
The second direction involves studying the impact of genetic variation on gene regulatory networks in autoimmune diseases.
Both directions provide ample opportunities for very creative method development, and for applications of these techniques to questions of very high relevance to human health and disease. Our research program is highly interdisciplinary, and we provide a training environment tailored to individuals, based on their background and interests. There are several career development opportunities including support for conference travel as well as mentorship and guidance to apply for funding/career development awards. Visa sponsorship is available. Salary will be commensurate with experience.
Qualifications:
Candidates must have a PhD in a quantitative discipline and have at least 5 years of postdoctoral experience. Possible disciplines include, but are not limited to, computational biology, bioinformatics, systems biology/systems immunology, bioengineering/biomedical engineering, and genomics. The ideal candidate will have requisite machine learning (especially deep learning) and network analysis skills. Strong programming skills are essential. Candidates with training in immunology would be preferred, but this is not essential.
Start Date:
Immediate
Please email applications (including cover letter, CV, and names and email addresses of 3 references) to Dr. Jishnu Das at jishnu@pitt.edu and Dr. Harinder Singh at harinder@pitt.edu.
The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.
The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity, and diversity. EOE, including disability/vets.
The University of Pittsburgh requires all Pitt constituents (employees and students) on all campuses to be vaccinated against COVID-19 or have an approved exemption. Visit coronavirus.pitt.edu to learn more about this requirement.
Assignment Category:
Full-time regular
Job Classification:
Staff.Research Scientist
Job Family:
Research
Job Sub-Family:
Research Science
Campus:
Pittsburgh
Minimum Education Level Required:
Professional Doctorate Degree
Minimum Years of Experience Required:
5
Will this position accept substitution in lieu of education or experience?
Combination of education and relevant experience will be considered in lieu of education and/or experience requirement.
Additional details about Required Licensure/Certification:
The ideal candidate will have requisite machine learning (especially deep learning) and network analysis skills. Strong programming skills are essential. Candidates with training in immunology would be preferred, but this is not essential.
Work Schedule:
Monday - Friday, 8:30 a.m. - 5:00 p.m.
Work Arrangement:
On-Campus: Teams that work on campus, in an office, or in a lab.
Hiring Range:
$53,617 to $89,361 Annual.
Relocation Offered:
No
Visa Sponsorship Provided:
Yes
Background Check:
For position finalists, employment with the University will require successful completion of a background check.
Child Protection Clearances:
Not Applicable
Required Documents:
Resume
Optional Documents:
Cover Letter
Essential Functions:
The first direction involves the application of machine learning approaches in the context of a range of immunological disorders.
The second direction involves studying the impact of genetic variation on gene regulatory networks in autoimmune diseases.
Physical Effort:
Minimal
#J-18808-Ljbffr