Research Instructor

Job Summary:

Nature of Work:

The Research Scientist is responsible for designing and implementing machine learning models, deep learning architectures, and statistical methods to address complex problems across various domains. This role involves collaborating with interdisciplinary teams to develop and optimize AI-driven solutions while contributing to cutting-edge research through publications in peer-reviewed journals. The Research Scientist works with large-scale datasets, conducts experiments to validate hypotheses, and refines algorithms for efficiency, scalability, and interpretability. The ideal candidate is expected to stay at the forefront of AI advancements, integrate emerging technologies into research, and contribute to the translation of AI innovations into real-world applications. An active participation in teams designing research projects and clinical trials as well as in report writing and publications is expected.

Key Responsibilities:

• Contribute to clinical trial and protocol design
• Contribute to proposals and grant writing
• Design and implement machine learning models, deep learning architectures, and statistical methods to address complex challenges across various domains with a focus on multi-omics datasets.
• Develop and optimize AI-driven solutions in collaboration with interdisciplinary teams, specifically clinical researchers and bioanalytical scientists, ensuring scalability and efficiency.
• Conduct experiments, analyze results, and refine algorithms for improved performance, interpretability, and robustness.
• Work with large-scale datasets, applying data preprocessing, feature engineering, and model evaluation techniques.
• Stay current with emerging AI technologies, methodologies, and industry trends to drive innovation.
• Translate research insights into real-world applications, collaborating with engineering teams for deployment and integration.
• Liaising with laboratories and clinical researchers regarding data transfer and research findings
• Collaboration with quality assurance and resolution of queries
• Assistance in data management and analysis
• Assistance in compiling reports
• Publish research findings in peer-reviewed journals and present at conferences.
• Assistance in regulatory submissions
• Sponsor and site communications

Work Location:

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

Why Join Us:

iC42 Clinical Research & Development is a cutting-edge bioanalytical resource and Service Center at the University of Colorado as well as a CU Medicine site of clinical practice. iC42 Clinical Research and Development provides clinical toxicology and therapeutic drug monitoring and carries out its own clinical trials, in collaboration with the biotech/ pharmaceutics industry and academic collaborators. iC42 Clinical Research and Development has a CAP/CLIA accredited laboratory with 17 LC-MS/MS systems, a pharmacokinetics/ pharmacokinetic modeling group, quality assurance unit and a clinical toxicology laboratory, serves as a central laboratory for multi-center clinical trials and is set up to run clinical trials including design, protocols, coordination and conduct, pharmacokinetics/ toxicokinetics, statistical analysis, and reporting.

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.

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
• Vacation Days: 22/year (maximum accrual 352 hours)
• Sick Days: 15/year (unlimited maximum accrual)
• Holiday Days: 10/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.

Equal 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.

Qualifications:

Minimum Qualifications:

• Ph.D. in data science, computational biology, or a related field.
• Two (2) years of experience in artificial intelligence research, machine learning development, or a related computational research setting is required.
• Substitution: A combination of related education and/or relevant experience in an occupation related to the work assigned to this position equal to two (2) years.
• Applicants must meet minimum qualifications at the time of hire.
• Preferred Qualifications:
• Prior experience with AI/ML applications in scientific research, such as bioinformatics, computational modeling, or data-driven discovery.
• At least five (5) years of experience in artificial intelligence research, machine learning development, or a related computational research setting.
• Previous first or senior author publications in reputable peer-reviewed journals relevant to the field.
• Knowledge, Skills and Abilities:
• Strong understanding of machine learning, deep learning, and statistical modeling techniques.
• Proficiency in programming languages such as Python, R, or C++, with experience using AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience working with large-scale datasets, including data preprocessing, feature engineering, and model evaluation.
• Strong analytical and problem-solving skills, with the ability to design experiments and interpret complex results.
• Knowledge of high-performance computing, cloud platforms (e.g., AWS, Azure, Google Cloud), and distributed computing frameworks.
• Excellent written and verbal communication skills, with the ability to publish research findings and present technical concepts clearly.
• Ability to collaborate in interdisciplinary teams, adapt to evolving research challenges, and contribute to both theoretical and applied AI advancements

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: Abigail Jacoba (abigail.jacoba@cuanschutz.edu)

Screening of Applications Begins:

Immediately and continues until position is filled. For best consideration, apply by July 1, 2025

Anticipated Pay Range:

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

$110,000 to $120,000

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

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.