Job Details

University of Pennsylvania
  • Position Number: 6561300
  • Location: Philadelphia, PA
  • Position Type: Science - Biology


Bioinformatics Analyst

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. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023.

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
Bioinformatics Analyst

Job Profile Title
Bioinformatician A

Job Description Summary
The Bioinformatics Analyst is a key member of our research team, responsible for applying computational methods and statistical techniques to analyze and interpret large-scale biological data. The role involves developing and executing data processing workflows for next-generation sequencing (NGS) data and other 'omics' datasets. The ideal candidate has a strong background in computational biology and is adept at collaborating with multi-disciplinary scientific teams to drive biological discovery and advance research goals.

Job Description

Job Responsibilities
  • Data analysis: Process, analyze, and interpret high-throughput sequencing data, including genomic, transcriptomic (RNA-Seq), and single-cell sequencing data.
  • Pipeline development: Design, implement, and optimize robust bioinformatics pipelines and workflows for efficient data processing, quality control, and analysis.
  • Collaboration: Work closely with wet-lab biologists, clinicians, and other scientists to understand research objectives, formulate analysis plans, and interpret results.
  • Documentation: Maintain meticulous records of analysis workflows, code, and methodology to ensure reproducibility and transparency.
  • Data management: Assist with the management, storage, and retrieval of large biological datasets.
  • Visualization: Create and deliver effective data visualizations and reports to communicate findings to technical and non-technical audiences.
  • Continuous learning: Stay up-to-date with the latest developments in bioinformatics, computational biology, and related fields by reading scientific literature and testing new software.
  • Tool support: Provide technical support and training to researchers on the use of bioinformatics tools and resources.
  • Other duties and responsibilities as assigned


Qualifications

  • Bachelor of Science and 3 to 5 years of experience or equivalent combination of education and experience is required. Master's degree in Bioinformatics, Computational Biology, Computer Science, Genetics, or a related field preferred.
  • Proficiency in programming and scripting languages, such as Python and R.
  • Solid experience with standard bioinformatics tools and software packages (e.g., Bowtie, GATK, DESeq2).
  • Experience with Next-Generation Sequencing (NGS) data analysis.
  • Strong understanding of molecular biology and genomics concepts.
  • Experience with statistical analysis techniques as applied to biological data.
  • Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) and high-performance computing (HPC) environments is a plus.
  • Excellent analytical, problem-solving, and critical-thinking skills.
  • Effective communication skills, with the ability to explain complex technical concepts to diverse teams.
  • Ability to work independently and manage multiple projects in a fast-paced, collaborative environment.


This position is contingent upon grant funding.

Job Location - City, State
Philadelphia, Pennsylvania

Department / School
School of Veterinary Medicine

Pay Range
$57,500.00 - $67,000.00 Annual Rate
Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered.

Equal Opportunity Statement

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law.

Special Requirements
Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

University Benefits
  • Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars.
  • Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions.
  • Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard.
  • Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be.
  • Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting.
  • Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance.
  • Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally.
  • University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free.
  • Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks.
  • Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures.
  • Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements.
  • Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household.



To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay


Equal Employment Opportunity Statement

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.

To apply, visit https://wd1.myworkdaysite.com/en-US/recruiting/upenn/careers-at-penn/job/Vet-School-Biomedical-Sciences/Bioinformatics-Analyst_JR00111893-1









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