Job Summary:

The RBI supports multiple informatics fellowships at the Research Associate Level. The objective of these unique, semi-autonomous postdoctoral positions is to train the next generation of bioinformatic analysts with the goal of mastering skills spanning both RNA biology and computer science. The program is explicitly designed to cater to the career development goals of the Informatic Fellows. As such, we have developed two tracks for the Informatics Fellows:

Track #1: Positions where time is spent both on wet-lab RNA method development and applications, as well as informatic analysis and development. This track is designed to support Fellows who seek independent academic positions blending experimental and computational RNA research. As such, the majority of the Fellows’ effort will be within a core RBI lab. 

Track #2: Positions solely focused primarily on informatic analysis and software development. This track is designed to support Fellows who seek independent positions in industry or academia as computational scientists. As such, the majority of the Fellows’ effort will be in collaboration with a variety of RNA informatics researchers on campus. To ensure proper mentoring in RNA biology and career development opportunities, at least 20% of effort will be within a core RBI lab.

Key Responsibilities:

Examples of RBI wet-lab projects include:

• Development of new single-cell sequencing methods
• RNA-seq analysis of the consequences of alterations in nonsense mediated RNA decay
• RNA-seq approaches to complement ongoing efforts in antisense oligonucleotide therapy development
• RNA-seq methods to measure RBP-binding and target RNA regulation
• Method development and analysis of long-read sequencing

• RBI Informatic Fellows develop and apply software for the analysis of a variety of RNA sequencing and other experiments focused on:

• In-depth analysis of single cell sequencing data from multiple modalities
• Characterization of mRNA isoforms generated by alternative splicing and polyadenylation
• Determination of the kinetics of RNA splicing, decay, and translation
• Identifying and characterizing the dynamics of RNA modifications
• Integrating RNA sequencing data with genetic data 
• Ribosome profiling and the measurement of small and long non-coding RNAs
• These tracks are not mutually exclusive, and the RBI Informatic Fellow faculty committee will work with the Fellow and the core faculty member to devise a development plan. Additionally, the faculty committee recognizes there may be scenarios where a course-correction is required and will facilitate either changes in track or PI match.

• RBI Informatics Fellows will additionally promote the use of RNA methods and informatics on the Anschutz campus through educational outreach activities, such as developing curricula and lecturing in graduate level classes and week-long short courses, mentoring RBI scholars and summer interns, and hosting regular office-hours to assist the informatics community. Educational outreach activities will consume no more than 10% effort per year, unless additional teaching experience is desired for career development.

  Our ideal candidates are scientists with a PhD in biological or computer sciences who wish to expand their training to become proficient in both disciplines. Appointments are for two years with the possibility to extend for an additional year. Toward the end of their tenure, RBI Informatic Fellows will have the opportunity to develop independent collaborations with CU Anschutz faculty and/or liaise with pharmaceutical and biotech companies to secure a stable long-term position in informatics.

Why Join Us:

Use your college/unit or department as a selling point. Think about the “what’s in it for me” candidate viewpoint. You do not need to include everything, just the most appealing parts of working for your college/unit or department. Keep this section short and concise for effectiveness - in general, try to limit it to 1-2 paragraphs.

The University of Colorado offers a comprehensive benefits package that includes health insurance, life insurance, retirement plans, tuition benefits, ECO pass, paid time off – vacation, sick, and holidays and more. To see what benefits are available, please visit: https://www.cu.edu/employee-services/benefits-wellness .

Diversity and Equity:

The University of Colorado Anschutz Medical Campus is committed to recruiting and supporting a diverse student body, faculty and administrative staff. The university strives to promote a culture of inclusiveness, respect, communication and understanding. We encourage applications from women, ethnic minorities, persons with disabilities, persons within the LGBTQ+ community and all veterans. The University of Colorado is committed to diversity and equality in education and employment.

Qualifications:

Minimum Requirements:

• PhD in biological or computational discipline
• Molecular or RNA biology experience for position that includes wet-lab

Preferred Qualifications:

• Preferred expertise in R, Python or C++

Knowledge, Skills, & Abilities:

• Working knowledge of computational and molecular biology, and high throughput DNA sequencing data analysis
• Demonstrated ability to teach bioinformatics, computational Biology and/or genomics courses and workshops

A combination of education and related technical/paraprofessional experience may be substituted for the bachelor’s degree on a year for year basis.

How to Apply:

For full consideration, please submit the following document(s):

Questions should be directed to:

Anthony Davis, anthony.j.davis@cuanschutz.edu

Screening of Applications Begins:

Screening begins on December 23rd.

Anticipated Pay Range:

The starting salary range (or hiring range ) for this position has been established as HIRING RANGE:

$56,000 to $75,000 

The above salary range (or hiring range ) represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting. This position may be eligible for overtime compensation, depending on the level.

Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.

Total Compensation Calculator: http://www.cu.edu/node/153125

ADA Statement:

The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@ucdenver.edu ?.

Background Check Statement:

The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.

Vaccination Statement:

The University of Colorado has a requirement for COVID-19 vaccinations and full completion thereof by 9/1/21 or upon start date.  Information regarding this requirement, and exemptions can be found at:

Anschutz: https://www.ucdenver.edu/docs/librariesprovider284/default-document-library/3000-general-admission/3012---covid-19-vaccination-requirement-and-compliance.pdf?sfvrsn=4e9df3ba_2

Unit-Specific Exemptions:

• Anschutz Campus – Accommodations may be granted for medical or religious reasons.

The University of Colorado seeks individuals with demonstrated commitment to creating an inclusive learning and working environment. We value the ability to engage effectively with students, faculty and staff of diverse backgrounds.