Post-Doctoral Fellow

Job Summary:

The Greene Lab in the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus is seeking a computational Postdoctoral Fellow with a background in human genomics, computational biology, bioinformatics, machine learning, and/or related fields. Individuals from diverse backgrounds are strongly encouraged to apply.

The Greene lab works near the intersection of machine learning, public data, and transcriptomics. Recent manuscripts 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.

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 group, with flexibility as needed and in agreement with the PI.

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

Key Responsibilities:

60% Perform Primary Research

• 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.

25% Communicate ideas and findings

• Present research in progress at lab meetings, project meetings, and 1-on-1 PI meetings
• Submit abstracts and present results at local and (inter)national conferences
• Write and publish manuscripts
• Actively pursue fellowship awards and assist the PI in grant writing

5% Train and Mentor

• Write and share workflows and protocols
• Mentor and train graduate students and research associates

5% Administrative Duties

• Complete required research training
• Perform general administrative duties as requested by the PI

5% Career Development

• Attend career development seminars and networking events
• Complete an Individualized Development Plan (IDP) to be discussed with the PI annually
• Keep CV up to date

Work Location:

Hybrid - this role is eligible for a hybrid schedule of 3 days per week on campus and as needed for in-person meetings.

Why Join Us:

At the Department of Biomedical Informatics (DBMI), you will thrive in a vibrant research environment that embraces innovation, collaboration, and real-world impact. The Greene Lab's work at the intersection of machine learning, public data, and transcriptomics offers unique opportunities to explore cutting-edge computational methods while contributing to breakthroughs in personalized medicine. As a Postdoctoral Fellow here, you'll benefit from a supportive network of accomplished scientists, hands-on mentorship, and access to premier facilities at the University of Colorado Anschutz Medical Campus.

DBMI is committed to nurturing your professional growth and cultivating a culture that values inclusivity, rigor, and teamwork. You'll have opportunities to interact with experts across disciplines, publish influential research, and elevate patient care through your discoveries. Join us and shape the future of biomedical informatics while advancing your own career.

Why work for the University?

The University of Colorado offers a comprehensive benefits package. To see what benefits are available for Post-Doctoral Fellows, please visit:

Payroll & Benefits Orientation for Post-Doctoral Fellows | University of Colorado (cu.edu)

benefits guide cover-post-doc-2024 (cu.edu)

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. In addition, the Anschutz Campus has also been recognized as an Age-Friendly University. The University of Colorado is committed to diversity and equality in education and employment.

Qualifications:

Minimum Qualifications:

Applicants must meet minimum qualifications at the time of hire.

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

Preferred Qualifications:

• Experience developing and/or applying machine learning methods to a problem in some domain such as biology, social science, economics, etc.
• 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:

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

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

Applications are accepted electronically ONLY at www.cu.edu/cu-careers.

Questions should be directed to: DBMI.HR, dbmi.hr@cuanschutz.edu

Screening of Applications Begins:

Immediately and continues until position is filled. For best consideration, apply by April 30, 2025.

Anticipated Pay Range:

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

$73,000/year

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 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

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:

CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. 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.