Research Support Specialist II - Bioinformatics Research Analyst

Culture of Inclusion and Community Standards

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Department Background

Cornell University's College of Agriculture and Life Sciences tackles the challenges of our times through purpose-driven science that advances understanding and improves life.

The Department of Animal Science offers undergraduate and graduate programs on the biology and management of food, laboratoryand companion animal species. Our research programs advance our understanding of animal biology and address local and global issues facing animal industries today. Our goals are to discover and develop new techniques and information to benefit animals, agricultureand human health. Ourinternationally recognized faculty have diverse interests in animal management, breeding, genetics, physiology, nutrition, growth biology and microbiology.

The Duan research group uses genomics and computational approaches to investigate key molecular mechanisms which regulate transcription events in animal developmental reprogramming. We identify functional factors that coordinate gene expression during development and under environmental stressors. Our long-term goal is to understand epigenetic mechanisms in animal health and disease and use functional genomics tools to improve animal fertility and health.

Rewards And Benefits

Competitive compensation, generous time-off, and great benefits ...More on Cornell Benefits

Position Summary

While position responsibilities vary, every member of our community is expected to foster a culture of belonging and a psychologically healthy work environment by communicating across differences; being cooperative, collaborative, open, and welcoming; showing respect, compassion, and empathy; engaging and supporting others regardless of background or perspective; speaking up when others are being excluded or treated inappropriately; and supporting work/life integration of oneself and others.

The Laboratory of Dr. Ellie Duan is seeking a Bioinformatics Research Analyst to work with the Integration Initiative: Sex, Aging, Genomics, and Evolution (IISAGE, https://www.iisage.org/). The ideal candidate will have a strong background in bioinformatics, computer science, genomics, and/or evolutionary biology. We are looking for an enthusiastic individual interested in joining our multidisciplinary genomics team to develop and implement software for genome analysis, pipeline development, and data management.

Required Qualifications

• BS in bioinformatics, computational sciences, genomics or related area or had related project experienceby the time of appointment.
• Experience in programming related to bioinformatics and genomics.
• Interest or experience in comparative genomics and/or evolutionary biology is desirable.
• Working knowledge of common bioinformatics tools and publicly available sequence databases
• Proficiency in Perl, R, JavaScript, or Python.
• Expertise in MySQL or another database management system.
• Strong communication skills, both verbal and written.
• Ability to interact and share information effectively with internal and external contacts.
• Ability to develop effective relationships with peers, students, and employees.
• Strong problem-solving skills, with the ability to identify, define, and analyze information before recommending a course of action.
• Effective time and resource management skills.
• Proficiency in applying technology and innovation to improve efficiency and solve problems.

Preferred Qualifications

• Master's degree with at least three years of experience in NGS data analysis, computational biology, and bioinformatics

Application Procedure:

Interested parties should submit a resume and cover letter describing qualifications online at https://hr.cornell.edu/jobs. When applying through our system, please remember to attach your resume and cover letter in either Microsoft Word or PDF format. In the experience section of your application, use the "Drop Files Here" box to manually drag document(s) into your application. For a more detailed description and instructions on how to apply online, please click here.

Relocation assistance is not available for this position.

Visa sponsorship is not available for this position.

Familiarize yourself with Cornell's COVID-19 workplace guidance as well as the university's COVID-19 services and information.

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EEO Statement:

Diversity and Inclusion are a part of Cornell University's heritage. We are a recognized employer and educator valuing AA/EEO, and we do not tolerate discrimination based on any protected characteristic, including race, ethnic or national origin, citizenship and immigration status, color, sex/gender, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.

Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty, and staff to all identities and backgrounds. We encourage individuals from underrepresented and/or marginalized identities to apply.

EEO Statement: Diversity and Inclusion are a part of Cornell University’s heritage. We are a recognized employer and educator valuing AA/EEO, Protected Veterans and Individuals with Disabilities. Cornell University is an innovative Ivy League university and a great place to work. Our inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose, and contribute creative ideas to further the university's mission of teaching, discovery, and engagement.

Minimum Salary: 31200.00 Maximum Salary: 31200.00 Salary Unit: Yearly