Bioinformaticist - Research Scientist

University of Colorado Anschutz

Department: Ophthalmology

Job Title: Research Scientist

Position #00853944 – Requisition #41554

Job Summary:

This Lead Bioinformatician will provide scientific and technical
analysis for a growing translational biorepository focused on
identifying biomarkers of disease subtype and treatment response.
The position will lead the development and implementation of
reproducible analytical workflows integrating high-dimensional
immunologic, proteomic, genomic, and clinical datasets.

Initial work will be heavily focused on the biorepository's
multi-omic data, including PhIP-Seq, high-dimensional cytometry,
plasma proteomics, clinical phenotypes, and integration with
whole-genome sequencing results generated by collaborating
analysts. This role will help shape the analytical scope and
long-term data strategy of the biorepository, establish reusable
data and computational infrastructure, and support its continued
growth in size and scientific scope.

The position will also support additional collaborative projects
involving single-cell RNA sequencing, spatial transcriptomics, and
other emerging multi-omic technologies. The successful candidate
will work closely with clinical investigators, laboratory
scientists, statisticians, geneticists, and other computational
collaborators to define research questions, develop analysis plans,
interpret biological findings, and communicate results. The
position will provide technical leadership, code review, training,
and mentorship to approximately one to three analysts or
trainees.

Key Responsibilities :

Multi-Omic Research and Analysis 65%

• Lead analysis and integration of PhIP-Seq, CYTOF,

affinity-based and mass-spectrometry proteomics, clinical data, and
externally analyzed WGS results.

• Develop analysis plans addressing biomarkers of disease

subtype, prognosis, and treatment response.

• Apply and evaluate multi-omic methods including CCA, MOFA and

related latent-factor models, WGCNA, pseudobulk analysis,
cell-state and cell–cell communication analysis, and predictive
modeling.

• Lead secondary projects involving single-cell RNA sequencing

and spatial transcriptomics.

• Perform raw-data processing, quality assessment, normalization,

statistical analysis, biological interpretation, and
visualization.

• Work with investigators to refine research questions, assess

feasibility, select appropriate methods, estimate timelines, and
communicate analytical limitations.

• Prepare publication-quality figures and contribute to

manuscripts, abstracts, presentations, and grant
applications.

• Serve as a coauthor on collaborative work, with opportunities

to lead analytically focused manuscripts.

Data Infrastructure, Reproducibility, and Governance
25%

• Design a reusable analytical and data infrastructure that

supports continued expansion of the biorepository.

• Develop, validate, document, and maintain reproducible

computational pipelines using workflow-management systems

• Work in high-performance computing and cloud-computing

environments.

• Develop and maintain data dictionaries, metadata standards,

sample identifiers, provenance records, analysis documentation, and
quality-control procedures.

• Harmonize clinical, laboratory, and multi-omic datasets across

projects and collection periods.

• Establish standards for code quality, versioning,

documentation, archiving, and reproducible reporting.

Technical Leadership, Mentoring, and Collaboration 10%

• Provide technical guidance, code review, training, and

mentorship to one to three junior analysts, trainees, or research
staff.

• Teach best practices in bioinformatics, statistical analysis,

reproducible research, data management, and scientific
visualization.

• Promote consistent analytical standards across projects.
• Participate in project meetings and communicate findings to

both computational and non-computational collaborators.

• Help prioritize analytical requests and support effective

management of multiple concurrent projects.

Approximately 90% of the roles's initial work will support the
biorepository, with the portfolio expected to broaden over the
first two to three years.

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:

Our department's home to the Sue Anschutz Rodgers Eye Center on the
Anschutz Medical Campus. This state-of-the-art facility is one of
the largest eye centers in the country and serves not only patients
in the Rocky Mountain region but also patients all over the
world.

The technological innovations conceived and developed by
Departmental faculty have changed the practice of eye care
throughout the world. Our educational programs train the next
generation of leaders in ophthalmology. Our specialists have
developed national and international reputations for excellence in
routine and complex ophthalmic care. We have invested heavily in
tracking our clinical outcomes and we are proud that our clinicians
perform at the highest levels in their respective fields.

Why work for the University?

We have AMAZING benefits and offer exceptional amounts of holiday,
vacation and sick leave! The University of Colorado offers an
excellent benefits package including:

• Medical: Multiple plan options
• Dental: Multiple plan options
• Additional Insurance: Disability, Life, Vision
• Retirement 401(a) Plan: Employer contributes 10% of your gross

pay

• Paid Time Off: Accruals over the year (based on percentage of

time)

• Vacation Days: 22/year (maximum accrual 352 hours)
• Sick Days: 15/year (unlimited maximum accrual)
• Holiday Days: 11/year
• Tuition Benefit: Employees have access to this benefit on all

CU campuses

• ECO Pass: Reduced rate RTD Bus and light rail service

There are many additional perks & programs with the CU Advantage .

Qualifications:

Minimum Qualifications:

Applicants must meet minimum qualifications at the time of
hire.

• Masters degree in bioinformatics, computational biology,

biostatistics, or data science..

• Four years of professional or research experience conducting

bioinformatic or computational analyses, including substantial
independent responsibility for study analysis and
interpretation.

• Demonstrated experience with complex analyses involving

multiple biological data modalities.

• Demonstrated proficiency in multiple coding languages,

including R and Python.

• Experience developing reproducible bioinformatic workflows and

using version control.

• Experience performing quality control, statistical analysis,

visualization, and biological interpretation of high-dimensional
biomedical data.

• Experience collaborating with both computational and

non-computational investigators.

• Experience independently organizing work, managing timelines,

and contributing to multiple concurrent research projects.

Preferred Qualifications:

• Masters degree in bioinformatics, computational biology,

biostatistics, or data science.

• Five or more years of relevant bioinformatics or computational

research experience.

• Experience leading collaborative projects.
• Demonstrated experience integrating three or more omics or

high-dimensional data types.

• Experience analyzing the following:
• single-cell RNA sequencing;
• spatial transcriptomics;
• affinity-based proteomics;
• mass-spectrometry proteomics;
• high-dimensional cytometry;
• PhIP-Seq or other serologic assays;
• germline genomic data;
• longitudinal clinical or treatment-response data.
• Experience with CCA, MOFA or related latent-factor methods,

WGCNA, pseudobulk analysis, cell–cell communication analysis, and
predictive modeling.

• Experience with Nextflow, Snakemake, or comparable

workflow-management systems.

• Experience using containers such as Docker, Singularity, or

Apptainer.

• Experience with HPC and/or cloud-computing environments.
• Experience designing metadata standards, harmonizing data

across studies, or developing reusable research data
infrastructure.

• Publication record demonstrating substantive contributions to

biomedical data analysis.

• Experience contributing analytical sections to grant

applications.

• Experience training or mentoring analysts, students, or

research staff.

• Experience in immunology, translational research, autoimmune or

inflammatory disease, ophthalmology, or biomarker discovery.

Knowledge, Skills and Abilities:

• Advanced knowledge of statistical and computational principles

relevant to multi-omic biomedical research.

• Ability to independently evaluate complex research questions

and recommend rigorous analytical approaches.

• Ability to distinguish exploratory, confirmatory, and

predictive analyses and communicate the limitations of each.

• Strong programming, data-management, troubleshooting, and

scientific-visualization skills.

• Commitment to reproducibility, transparency, documentation, and

code quality.

• Ability to translate complex analytical results for clinicians,

laboratory scientists, trainees, and other stakeholders.

• Ability to work independently while contributing effectively

within multidisciplinary teams.

• Strong organizational, project-management, and time-management

skills.

• Ability to balance multiple projects, identify dependencies,

communicate delays or risks, and establish realistic
timelines.

• Ability to provide constructive technical feedback and

mentorship without formal supervisory authority.

• Scientific curiosity and willingness to evaluate new analytical

approaches as technologies and research questions evolve.

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: Ashley Woodhouse
Ashley.woodhouse@cuanschutz.edu

Screening of Applications Begins:

Applications will be accepted until finalists are identified, but
preference will be given to complete applications received by
November 13, 2026 . Those who do not apply by this date may
or may not be considered.

Anticipated Pay Range:

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

$90,000 - $105,000

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.

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

Equal Employment Opportunity Statement:

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.

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 .