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Visiting Researcher

Description

University of Colorado Anschutz

Department: Department of Biomedical Informatics

Job Title: Visiting Researcher

Position #00833610: - Requisition #:38658

Job Summary:

The Norman Lab, housed in the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus, is seeking a **Visiting Researcher** with deep expertise in genome graph construction and interpretation, complex genomic architecture of the human MHC, and de novo DNA sequence assembly.

Visiting Researcher position is a full-time, two-year appointment with the possibility of extension depending on funding and program needs.

Key Responsibilities:

+ Collaborate with and support Principal Investigators (PI) and other researchers in the area of bioinformatics and data analysis

Work Location:

Onsite

Why Join Us:

The Norman Lab, embedded within the Departments of Biomedical Informatics and Immunology and Microbiology at the University of Colorado Anschutz Medical Campus, offers a uniquely collaborative environment at the intersection of computational biology, immunogenetics, and human disease research. Our team is internationally recognized for advancing the understanding of natural variation in immune responses, with a particular emphasis on the highly complex human MHC region. As a Visiting Researcher, you will contribute to cutting-edge projects that directly inform precision medicine, population genetics, and disease-association studies, while working alongside experts who are shaping the future of immunogenomics.

Qualifications:

Minimum Qualifications:

+ Master's Degree in Physics or other relevant subject

+ Expertise in the complex genomic architecture of the human MHC

+ Expertise in genome graph construction and interpretation.

Preferred Qualifications:

+ Experience in De-novo assembly methods for DNA sequence data

+ Expertise in Python and C++ programming and Linux scripting.

+ Post graduate continuing education in bioinformatics.

Knowledge, Skills and Abilities:

+ Reliable, punctual, and motivated in his or her work.

+ Attention to details, diligence in data recording/documentation, strict adherence to established assay protocols and laboratory policies/procedures, strong organizational skills

How to Apply:

Visiting Researcher position is a full-time, two-year appointment with the possibility of extension depending on funding and program needs.

Key Responsibilities:

+ Collaborate with and support Principal Investigators (PI) and other researchers in the area of bioinformatics and data analysis

Work Location:

Onsite

Why Join Us:

The Norman Lab, embedded within the Departments of Biomedical Informatics and Immunology and Microbiology at the University of Colorado Anschutz Medical Campus, offers a uniquely collaborative environment at the intersection of computational biology, immunogenetics, and human disease research. Our team is internationally recognized for advancing the understanding of natural variation in immune responses, with a particular emphasis on the highly complex human MHC region. As a Visiting Researcher, you will contribute to cutting-edge projects that directly inform precision medicine, population genetics, and disease-association studies, while working alongside experts who are shaping the future of immunogenomics.

Qualifications:

Minimum Qualifications:

+ Master's Degree in Physics or other relevant subject

+ Expertise in the complex genomic architecture of the human MHC

+ Expertise in genome graph construction and interpretation.

Preferred Qualifications:

+ Experience in De-novo assembly methods for DNA sequence data

+ Expertise in Python and C++ programming and Linux scripting.

+ Post graduate continuing education in bioinformatics.

Knowledge, Skills and Abilities:

+ Reliable, punctual, and motivated in his or her work.

+ Attention to details, diligence in data recording/documentation, strict adherence to established assay protocols and laboratory policies/procedures, strong organizational skills

How to Apply:

Key Responsibilities:

+ Collaborate with and support Principal Investigators (PI) and other researchers in the area of bioinformatics and data analysis

Work Location:

Onsite

Why Join Us:

The Norman Lab, embedded within the Departments of Biomedical Informatics and Immunology and Microbiology at the University of Colorado Anschutz Medical Campus, offers a uniquely collaborative environment at the intersection of computational biology, immunogenetics, and human disease research. Our team is internationally recognized for advancing the understanding of natural variation in immune responses, with a particular emphasis on the highly complex human MHC region. As a Visiting Researcher, you will contribute to cutting-edge projects that directly inform precision medicine, population genetics, and disease-association studies, while working alongside experts who are shaping the future of immunogenomics.

Qualifications:

Minimum Qualifications:

+ Master's Degree in Physics or other relevant subject

+ Expertise in the complex genomic architecture of the human MHC

+ Expertise in genome graph construction and interpretation.

Preferred Qualifications:

+ Experience in De-novo assembly methods for DNA sequence data

+ Expertise in Python and C++ programming and Linux scripting.

+ Post graduate continuing education in bioinformatics.

Knowledge, Skills and Abilities:

+ Reliable, punctual, and motivated in his or her work.

+ Attention to details, diligence in data recording/documentation, strict adherence to established assay protocols and laboratory policies/procedures, strong organizational skills

How to Apply:

+ Develop, optimize and maintain algorithms for assembly of human MHC genomic region sequences

Work Location:

Onsite

Why Join Us:

The Norman Lab, embedded within the Departments of Biomedical Informatics and Immunology and Microbiology at the University of Colorado Anschutz Medical Campus, offers a uniquely collaborative environment at the intersection of computational biology, immunogenetics, and human disease research. Our team is internationally recognized for advancing the understanding of natural variation in immune responses, with a particular emphasis on the highly complex human MHC region. As a Visiting Researcher, you will contribute to cutting-edge projects that directly inform precision medicine, population genetics, and disease-association studies, while working alongside experts who are shaping the future of immunogenomics.

Qualifications:

Minimum Qualifications:

+ Master's Degree in Physics or other relevant subject

+ Expertise in the complex genomic architecture of the human MHC

+ Expertise in genome graph construction and interpretation.

Preferred Qualifications:

+ Experience in De-novo assembly methods for DNA sequence data

+ Expertise in Python and C++ programming and Linux scripting.

+ Post graduate continuing education in bioinformatics.

Knowledge, Skills and Abilities:

+ Reliable, punctual, and motivated in his or her work.

+ Attention to details, diligence in data recording/documentation, strict adherence to established assay protocols and laboratory policies/procedures, strong organizational skills

How to Apply:

Qualifications:

Minimum Qualifications:

+ Master's Degree in Physics or other relevant subject

+ Expertise in the complex genomic architecture of the human MHC

+ Expertise in genome graph construction and interpretation.

Preferred Qualifications:

+ Experience in De-novo assembly methods for DNA sequence data

+ Expertise in Python and C++ programming and Linux scripting.

+ Post graduate continuing education in bioinformatics.

Knowledge, Skills and Abilities:

+ Reliable, punctual, and motivated in his or her work.

+ Attention to details, diligence in data recording/documentation, strict adherence to established assay protocols and laboratory policies/procedures, strong organizational skills

How to Apply:

+ Expertise in the complex genomic architecture of the human MHC

+ Expertise in genome graph construction and interpretation.

Preferred Qualifications:

+ Experience in De-novo assembly methods for DNA sequence data

+ Expertise in Python and C++ programming and Linux scripting.

+ Post graduate continuing education in bioinformatics.

Knowledge, Skills and Abilities:

+ Reliable, punctual, and motivated in his or her work.

+ Attention to details, diligence in data recording/documentation, strict adherence to established assay protocols and laboratory policies/procedures, strong organizational skills

How to Apply:

Screening of Applications Begins:

Anticipated Pay Range:

HIRING RANGE:

Equal Employment Opportunity Statement:

ADA Statement:

Background Check Statement:

Vaccination Statement:

Job Category

Primary Location

Schedule

Posting Date

Unposting Date

To apply, visit https://cu.taleo.net/careersection/2/jobdetail.ftl?job=38658&lang=en (https://apptrkr.com/6845486)

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Visiting Researcher - 38658 Research Faculty

In this role, the researcher will design, optimize, and maintain advanced algorithms for assembling sequences within the human MHC genomic region and apply these computational methods to large-scale disease association studies. The position offers the opportunity to contribute to high-impact research at the intersection of immunogenomics, computational biology, and human disease.

+ Develop, optimize and maintain algorithms for assembly of human MHC genomic region sequences

+ Develop, optimize and maintain genomic graph representation for population-scale analysis of MHC genomic variation

+ Perform annotation of MHC region genes and variants; submit to public databases

+ Apply methods to high-throughput disease association studies

+ System administration of Norman lab Linux-based servers

+ Present research in progress at lab meetings, project meetings, and individual PI meetings

- this role is expected to work onsite and is located in Aurora, Colorado

Joining us means becoming part of a vibrant research community with access to state-of-the-art computational resources, high-throughput sequencing platforms, and interdisciplinary collaborations across the Anschutz Medical Campus. You will have opportunities to engage in seminars, workshops, and cross-departmental initiatives that support scientific growth and innovation. This role is ideal for researchers who want to push the boundaries of genome assembly, algorithm development, and complex genomic interpretation within a supportive, intellectually rich environment.

Applicants must meet minimum qualifications at the time of hire.

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 position2. Curriculum vitae / Resume3. Five professional references including name, address, phone number (mobile number if appropriate), and email address Applications are accepted electronically ONLY at https://apptrkr.com/get\_redirect.php?id=6845486&targetURL=In this role, the researcher will design, optimize, and maintain advanced algorithms for assembling sequences within the human MHC genomic region and apply these computational methods to large-scale disease association studies. The position offers the opportunity to contribute to high-impact research at the intersection of immunogenomics, computational biology, and human disease.

+ Develop, optimize and maintain algorithms for assembly of human MHC genomic region sequences

+ Develop, optimize and maintain genomic graph representation for population-scale analysis of MHC genomic variation

+ Perform annotation of MHC region genes and variants; submit to public databases

+ Apply methods to high-throughput disease association studies

+ System administration of Norman lab Linux-based servers

+ Present research in progress at lab meetings, project meetings, and individual PI meetings

- this role is expected to work onsite and is located in Aurora, Colorado

Joining us means becoming part of a vibrant research community with access to state-of-the-art computational resources, high-throughput sequencing platforms, and interdisciplinary collaborations across the Anschutz Medical Campus. You will have opportunities to engage in seminars, workshops, and cross-departmental initiatives that support scientific growth and innovation. This role is ideal for researchers who want to push the boundaries of genome assembly, algorithm development, and complex genomic interpretation within a supportive, intellectually rich environment.

Applicants must meet minimum qualifications at the time of hire.

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 position2. Curriculum vitae / Resume3. Five professional references including name, address, phone number (mobile number if appropriate), and email address Applications are accepted electronically ONLY at https://apptrkr.com/get\_redirect.php?id=6845486&targetURL=

+ Develop, optimize and maintain algorithms for assembly of human MHC genomic region sequences

+ Develop, optimize and maintain genomic graph representation for population-scale analysis of MHC genomic variation

+ Perform annotation of MHC region genes and variants; submit to public databases

+ Apply methods to high-throughput disease association studies

+ System administration of Norman lab Linux-based servers

+ Present research in progress at lab meetings, project meetings, and individual PI meetings

- this role is expected to work onsite and is located in Aurora, Colorado

Joining us means becoming part of a vibrant research community with access to state-of-the-art computational resources, high-throughput sequencing platforms, and interdisciplinary collaborations across the Anschutz Medical Campus. You will have opportunities to engage in seminars, workshops, and cross-departmental initiatives that support scientific growth and innovation. This role is ideal for researchers who want to push the boundaries of genome assembly, algorithm development, and complex genomic interpretation within a supportive, intellectually rich environment.

Applicants must meet minimum qualifications at the time of hire.

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 position2. Curriculum vitae / Resume3. Five professional references including name, address, phone number (mobile number if appropriate), and email address Applications are accepted electronically ONLY at https://apptrkr.com/get\_redirect.php?id=6845486&targetURL=

+ Develop, optimize and maintain genomic graph representation for population-scale analysis of MHC genomic variation

+ Perform annotation of MHC region genes and variants; submit to public databases

+ Apply methods to high-throughput disease association studies

+ System administration of Norman lab Linux-based servers

+ Present research in progress at lab meetings, project meetings, and individual PI meetings

- this role is expected to work onsite and is located in Aurora, Colorado

Joining us means becoming part of a vibrant research community with access to state-of-the-art computational resources, high-throughput sequencing platforms, and interdisciplinary collaborations across the Anschutz Medical Campus. You will have opportunities to engage in seminars, workshops, and cross-departmental initiatives that support scientific growth and innovation. This role is ideal for researchers who want to push the boundaries of genome assembly, algorithm development, and complex genomic interpretation within a supportive, intellectually rich environment.

Applicants must meet minimum qualifications at the time of hire.

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 position2. Curriculum vitae / Resume3. Five professional references including name, address, phone number (mobile number if appropriate), and email address Applications are accepted electronically ONLY at https://apptrkr.com/get\_redirect.php?id=6845486&targetURL=Joining us means becoming part of a vibrant research community with access to state-of-the-art computational resources, high-throughput sequencing platforms, and interdisciplinary collaborations across the Anschutz Medical Campus. You will have opportunities to engage in seminars, workshops, and cross-departmental initiatives that support scientific growth and innovation. This role is ideal for researchers who want to push the boundaries of genome assembly, algorithm development, and complex genomic interpretation within a supportive, intellectually rich environment.

Applicants must meet minimum qualifications at the time of hire.

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 position2. Curriculum vitae / Resume3. Five professional references including name, address, phone number (mobile number if appropriate), and email address Applications are accepted electronically ONLY at https://apptrkr.com/get\_redirect.php?id=6845486&targetURL=

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 position2. Curriculum vitae / Resume3. 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 (https://apptrkr.com/get\_redirect.php?id=6845486&targetURL=http://www.cu.edu/cu-careers) . Questions should be directed to: Michelle Fiandra [email protected] (https://apptrkr.com/get\[email protected])

Screening begins immediately and continues until January 14, 2026.

The starting salary range (or hiring range) for this position has been established as $55,000-60,000 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 is not eligible for overtime compensation unless it is non-exempt.

The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

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 [email protected] (https://apptrkr.com/get\_redirect.php?id=6845486&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=6845486&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=6845486&targetURL=https://research.cuanschutz.edu/ehs/home/divisions/occupational-health/oh-enrollment) .Application Materials Required: Cover Letter, Resume/CV, List of References : Research Services : Aurora Department: U0001 -- Anschutz Med Campus or Denver - 21925 - SOM-BIOMED Informatics Gen Ops : Full-time : Jan 9, 2026 : Jan 15, 2026, 6:59:00 AM Posting Contact Name: Michelle Fiandra Posting Contact Email: [email protected] (https://apptrkr.com/get\_redirect.php?id=6845486&targetURL=michelle.fiandra@cuanschutz.edu) Position Number: 00833610jeid-3c18dce6ea88b04283e03b6d7b987106

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.