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University of Colorado Post-Doctoral Fellow in Aurora, Colorado

Post-Doctoral Fellow - 29720 Faculty

Description

University of Colorado Anschutz Medical Campus

Department: Biomedical Informatics

Job Title: Post-Doctoral Fellow

Position #:00808722 – Requisition #:29720

Job Summary:

Key Responsibilities:

  • Participate in the design and initiation of research projects

  • Independently carry out literature reviews, analysis, and interpretation of results with guidance from the PI

  • Collaborate with the PI, other members of the lab, and local and international collaborators

  • Maintain transparent and easy-to-follow documentation of research projects from start to finish, including reproducible and sharable code.

Why Join Us:

Diversity and Equity:

Qualifications:

Minimum Qualifications:

  • PhD in genetics, bioinformatics, computational sciences, data science, machine learning, biostatistics, applied mathematics, computer science, or related fields.

Preferred Qualifications:

  • At least 3 years of experience in R, Python, and/or a comparable programming language, preferably in a high-performance cluster computing environment and using version control.

  • Experience developing and/or applying machine learning methods to a problem in some domain such as biology, social science, economics, etc. Alternatively, experience working with high-throughput omics, text, or graph-like datasets.

  • Proficiency in scientific communication with evidence of first-author manuscript(s) in peer-reviewed journals and oral presentation(s) at national or international conferences.

  • Attributable contributions to source code.

Knowledge, Skills and Abilities:

  • Practical experience in the Python data wrangling and machine learning stack including pandas, matplotlib, scikit-learn, and/or pytorch and/or practical experience in using R for omics (esp. transcriptome) data analysis and integration.

  • Evidence of working in collaborative teams and positively contributing to others' projects.

  • Demonstrated willingness to give/take constructive feedback and to sustain a supportive and inclusive lab environment.

How to Apply:

  1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position

  2. Curriculum vitae / Resume

  3. Five professional references including name, address, phone number (mobile number if appropriate), and email address

Screening of Applications Begins:

Anticipated Pay Range:

or hiring range HIRING RANGE:

or hiring range

ADA Statement:

Background Check Statement:

Vaccination Statement:

Job Category

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Schedule

Posting Date

Unposting Date

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Current project funding includes support for work in microbial systems, disentangling the genetic basis of co-occurring conditions, and understanding transcriptomic patterns in high-grade serous ovarian cancer. Methodological avenues include new techniques for integrating large collections of -omic profiles, using knowledge graphs, and/or linking across data types.

The Greene lab works near the intersection of machine learning, public data, and transcriptomics. Recent manuscripts (https://apptrkr.com/get_redirect.php?id=4566846&targetURL=https://greenelab.com/research/) from the group have rigorously probed the performance of deconvolution algorithms, have estimated demographic factors associated with scientists who get quoted in Nature's news content, have examined the extent to which deep learning is necessary for certain problems, and have reported on software that supports the use of large language models to improve scientific writing with precise attribution. The lab emphasizes rigor in research and has established processes to support this (https://apptrkr.com/get_redirect.php?id=4566846&targetURL=https://github.com/greenelab/onboarding/blob/master/onboarding.md) . Previous postdoctoral trainees from the lab have pursued and secured positions as academic faculty, as well as research positions in both industry and non-profit labs. We are a hybrid in-person/remote group, with flexibility as needed and in agreement with the PI. 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 (https://apptrkr.com/get_redirect.php?id=4566846&targetURL=https://www.cu.edu/employee-services/benefits-wellness) .

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.

For full consideration, please submit the following document(s): Applications are accepted electronically ONLY at www.cu.edu/cu-careers (https://apptrkr.com/get_redirect.php?id=4566846&targetURL=http://www.cu.edu/cu-careers) . Questions should be directed to: Michelle Fiandra at michelle.fiandra@cuanschutz.edu (https://apptrkr.com/get_redirect.php?id=4566846&targetURL=michelle.fiandra@cuanschutz.edu)

Immediately and continues until position is filled.

The starting salary range () for this position has been established as $70,000 The above salary range () represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt. 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 (https://apptrkr.com/get_redirect.php?id=4566846&targetURL=http://www.cu.edu/node/153125)

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 (https://apptrkr.com/get_redirect.php?id=4566846&targetURL=hr.adacoordinator@ucdenver.edu) ​.

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.

CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases (https://apptrkr.com/get_redirect.php?id=4566846&targetURL=https://www.cdc.gov/vaccines/schedules/downloads/adult/adult-combined-schedule.pdf) . If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program (https://apptrkr.com/get_redirect.php?id=4566846&targetURL=https://research.cuanschutz.edu/ehs/home/divisions/occupational-health/oh-enrollment) .

Application Materials Required: Cover Letter, Resume/CV, List of References : Faculty : Aurora Department: U0001 -- Anschutz Med Campus or Denver - 21925 - SOM-BIOMED Informatics Gen Ops : Full-time : Apr 20, 2023 : Ongoing Posting Contact Name: Michelle Fiandra Posting Contact Email: michelle.fiandra@cuanschutz.edu (https://apptrkr.com/get_redirect.php?id=4566846&targetURL=michelle.fiandra@cuanschutz.edu) Position Number: 00808722jeid-dc8d72d90714684e9c26c7939884f167

The University of Colorado does not discriminate on the basis of race, color, national origin, sex, age, pregnancy, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation, or political philosophy. All qualified individuals are encouraged to apply.

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