Bioinformatician/Computational Biologist
- Employer
- University of Pennsylvania
- Location
- Philadelphia County, Pennsylvania, US
- Salary
- Competitive
- Closing date
- Oct 26, 2021
View more
- Sector
- Academic / Research
- Field
- Informatics / GIS
- Discipline
- Genetics
- Salary Type
- Salary
- Employment Type
- Fellowship
You need to sign in or create an account to save a job.
University Overview
The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning.
Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.
The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.
Posted Job Title
Bioinformatician/Computational Biologist
Job Profile Title
Bioinformatician C
Job Description Summary
The CORONA (COvid19 Registry of Off-label & New Agents) project is the world's largest database dedicated to identifying and tracking all treatments reported to be administered to COVID-19 patients. Housed within the Center for Cytokine Storm Treatment & Laboratory (CSTL) at the University of Pennsylvania, CORONA is providing real-time data and insights to guide clinical trial design and inform the global effort to identify treatments for COVID-19 in partnership with Google Health, FDA, Parker Institute for Cancer Immunotherapy, and others.
Job Description
Due to the major unmet need, the CSTL, in partnership with the Division of Translational Medicine & Human Genetics and the Fajgenbaum lab, is now expanding CORONA to include a new STORM (Systematic Tracker Of Repurposed/new Medicines) tool and searching for a talented, experienced, and motivated bioinformatician/computational biologist to perform analyses on this expansive dataset and generate meaningful insights. In addition to continuing to track all treatments administered to COVID-19 patients, STORM will also integrate and track all pre-clinical treatment data and clinical trial data and enable the search for treatment patterns, identification of promising drugs that need to be evaluated in clinical trials, and facilitate the development of recommendations to strengthen the global effort to combat COVID-19. In one place, government agencies, academic researchers, philanthropic organizations, and biopharmaceutical companies will be able to access all data at no cost on all potential treatments for COVID-19. The bioinformatician/computational biologist will be tasked with conceptualizing and developing analytical plans, supporting database development, performing analyses of data in CORONA and external data sources, interpreting results, and collaborating with government, industry, philanthropic, and academic partners to achieve our overarching goal of accelerating the identification of effective COVID-19 treatments. This position offers the opportunity to contribute to a major national initiative directed against COVID-19 and interface broadly with internal and external (federal government, pharmaceutical collaborators, non-profit partners, external academic collaborators, etc.) stakeholders from around the world to assure rapid progression of the science towards medical breakthroughs that help patients. Beyond COVID-19, there are exciting opportunities to perform analyses to elucidate understanding of other cytokine storm disorders with major unmet medical need. The CSTL combines 'omic analyses of patient biospecimens, hypothesis-driven basic science research, and clinical data analyses to discover and pursue novel therapeutic approaches for cytokine storms through clinical trials and adoption in clinical practice. A talented bioinformatician/computational biologist is needed to perform these multi-omic analyses.
Qualified candidates will have expertise in bioinformatics/computational biology, familiarity with virology, immunology, and drug repurposing, and experiences performing relevant analyses. This is a unique opportunity to join a highly motivated, patient-focused team that works closely with international collaborators and the federal government to make and publish novel discoveries that will have a significant impact on patients who have COVID-19 and other diseases with major unmet medical need.
Duties
Conceptualizing and developing analytical plans, supporting database development, and performing analyses to accelerate the identification of effective COVID 19 treatments.
Collaborating with government, industry, philanthropic, and academic partners to achieve our overarching goal of accelerating the identification of effective COVID-19 treatment.
Recruit, train, manage, supervise, and mentor graduate students, fellows, and scientific collaborators. This duty includes troubleshooting projects both independently and as part of a team within specified timelines.
Work closely with the STORM Leadership Team to support long term planning of the database and analytic infrastructure and extraction of COVID-19 treatment data.
Perform multi-omic analyses and clinical data analyses to discover and pursue novel therapeutic approaches for cytokine storms.
Perform additional duties as assigned.
***Position is contingent upon funding***
Qualifications
+ MS + 5-7 years of a combination of relevant academic and work experience or equivalent combination of education and experience (e.g., PhD + 3-5 years) in bioinformatics/computational biology.
+ Strong experience with database development and computational analyses required
+ Experience performing computational analyses of immunology data required
+ Expertise in either R or Python programming languages strongly preferred
+ Experience performing enrichment and/or pathway analyses with Ingenuity, GSEA, Reactome, KEGG, or other similar databases strongly preferred
+ Familiarity with human immunology, virology, and drug repurposing a plus
+ Experience with analyzing and interpreting high throughput drug screen data a plus
+ Experience analyzing real-world data a plus
+ Experience analyzing clinical trial data a plus
+ Self-starter with a strong desire to contribute and work collaboratively to achieve goals
+ Ability to work independently and apply critical thinking and sound judgment
Working ConditionsOffice, library, computer roomPhysical EffortTypically sitting at a desk or table
Job Location - City, State
Philadelphia, Pennsylvania
Department / School
Perelman School of Medicine
Pay Range
$72,837.00 - $138,391.00
Affirmative Action Statement Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.
Special Requirements Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.
The University of Pennsylvania's special character is reflected in the diversity of the Penn community. We seek talented faculty and staff who will constitute a vibrant community that draws on the strength that comes with a substantive institutional commitment to diversity along dimensions of race, ethnicity, gender, sexual orientation, age, religion, disability, veteran status, interests, perspectives, and socioeconomic status. Grounded in equal opportunity, nondiscrimination, and affirmative action, Penn's robust commitment to diversity is fundamental to the University's mission of advancing knowledge, educating leaders for all sectors of society, and public service. The University of Pennsylvania prohibits unlawful discrimination based on race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.
The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning.
Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.
The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.
Posted Job Title
Bioinformatician/Computational Biologist
Job Profile Title
Bioinformatician C
Job Description Summary
The CORONA (COvid19 Registry of Off-label & New Agents) project is the world's largest database dedicated to identifying and tracking all treatments reported to be administered to COVID-19 patients. Housed within the Center for Cytokine Storm Treatment & Laboratory (CSTL) at the University of Pennsylvania, CORONA is providing real-time data and insights to guide clinical trial design and inform the global effort to identify treatments for COVID-19 in partnership with Google Health, FDA, Parker Institute for Cancer Immunotherapy, and others.
Job Description
Due to the major unmet need, the CSTL, in partnership with the Division of Translational Medicine & Human Genetics and the Fajgenbaum lab, is now expanding CORONA to include a new STORM (Systematic Tracker Of Repurposed/new Medicines) tool and searching for a talented, experienced, and motivated bioinformatician/computational biologist to perform analyses on this expansive dataset and generate meaningful insights. In addition to continuing to track all treatments administered to COVID-19 patients, STORM will also integrate and track all pre-clinical treatment data and clinical trial data and enable the search for treatment patterns, identification of promising drugs that need to be evaluated in clinical trials, and facilitate the development of recommendations to strengthen the global effort to combat COVID-19. In one place, government agencies, academic researchers, philanthropic organizations, and biopharmaceutical companies will be able to access all data at no cost on all potential treatments for COVID-19. The bioinformatician/computational biologist will be tasked with conceptualizing and developing analytical plans, supporting database development, performing analyses of data in CORONA and external data sources, interpreting results, and collaborating with government, industry, philanthropic, and academic partners to achieve our overarching goal of accelerating the identification of effective COVID-19 treatments. This position offers the opportunity to contribute to a major national initiative directed against COVID-19 and interface broadly with internal and external (federal government, pharmaceutical collaborators, non-profit partners, external academic collaborators, etc.) stakeholders from around the world to assure rapid progression of the science towards medical breakthroughs that help patients. Beyond COVID-19, there are exciting opportunities to perform analyses to elucidate understanding of other cytokine storm disorders with major unmet medical need. The CSTL combines 'omic analyses of patient biospecimens, hypothesis-driven basic science research, and clinical data analyses to discover and pursue novel therapeutic approaches for cytokine storms through clinical trials and adoption in clinical practice. A talented bioinformatician/computational biologist is needed to perform these multi-omic analyses.
Qualified candidates will have expertise in bioinformatics/computational biology, familiarity with virology, immunology, and drug repurposing, and experiences performing relevant analyses. This is a unique opportunity to join a highly motivated, patient-focused team that works closely with international collaborators and the federal government to make and publish novel discoveries that will have a significant impact on patients who have COVID-19 and other diseases with major unmet medical need.
Duties
Conceptualizing and developing analytical plans, supporting database development, and performing analyses to accelerate the identification of effective COVID 19 treatments.
Collaborating with government, industry, philanthropic, and academic partners to achieve our overarching goal of accelerating the identification of effective COVID-19 treatment.
Recruit, train, manage, supervise, and mentor graduate students, fellows, and scientific collaborators. This duty includes troubleshooting projects both independently and as part of a team within specified timelines.
Work closely with the STORM Leadership Team to support long term planning of the database and analytic infrastructure and extraction of COVID-19 treatment data.
Perform multi-omic analyses and clinical data analyses to discover and pursue novel therapeutic approaches for cytokine storms.
Perform additional duties as assigned.
***Position is contingent upon funding***
Qualifications
+ MS + 5-7 years of a combination of relevant academic and work experience or equivalent combination of education and experience (e.g., PhD + 3-5 years) in bioinformatics/computational biology.
+ Strong experience with database development and computational analyses required
+ Experience performing computational analyses of immunology data required
+ Expertise in either R or Python programming languages strongly preferred
+ Experience performing enrichment and/or pathway analyses with Ingenuity, GSEA, Reactome, KEGG, or other similar databases strongly preferred
+ Familiarity with human immunology, virology, and drug repurposing a plus
+ Experience with analyzing and interpreting high throughput drug screen data a plus
+ Experience analyzing real-world data a plus
+ Experience analyzing clinical trial data a plus
+ Self-starter with a strong desire to contribute and work collaboratively to achieve goals
+ Ability to work independently and apply critical thinking and sound judgment
Working ConditionsOffice, library, computer roomPhysical EffortTypically sitting at a desk or table
Job Location - City, State
Philadelphia, Pennsylvania
Department / School
Perelman School of Medicine
Pay Range
$72,837.00 - $138,391.00
Affirmative Action Statement Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.
Special Requirements Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.
The University of Pennsylvania's special character is reflected in the diversity of the Penn community. We seek talented faculty and staff who will constitute a vibrant community that draws on the strength that comes with a substantive institutional commitment to diversity along dimensions of race, ethnicity, gender, sexual orientation, age, religion, disability, veteran status, interests, perspectives, and socioeconomic status. Grounded in equal opportunity, nondiscrimination, and affirmative action, Penn's robust commitment to diversity is fundamental to the University's mission of advancing knowledge, educating leaders for all sectors of society, and public service. The University of Pennsylvania prohibits unlawful discrimination based on race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.
You need to sign in or create an account to save a job.
Get job alerts
Create a job alert and receive personalized job recommendations straight to your inbox.
Create alert