1

Evening Computer Science Bioinformatics Jobs in Colorado

Lecturer

Denver, CO · On-site

$3.25K/wk

... Computer Science and Engineering Department on a part-time semester-by-semester basis for AY26/27 ... evening may be required. Mental, Physical, and/or Environmental Requirements • This position may ...

Lecturer

Denver, CO · On-site +1

$3.25K/wk

A Master of Science degree in computer science or a related field is required for teaching ... Occasional work during the evening may be required. Mental, Physical, and/or Environmental ...

Postdoctoral Fellow/Trainee

Aurora, CO · On-site

$49.80K - $67.60K/yr

Computational Biology, Bioinformatics, Biomedical Informatics, Computer Science, Physics, Engineering, or an equivalent degree. * The successful completion of a research project as evidenced by at ...

$20.35 - $33.48/hr

If you leave your computer and return later, you may time out. REMINDER: Current DCSD employees ... sciences, counseling, or similar areas. ESSENTIAL ENVIRONMENTAL DEMANDS: - Frequent outdoor ...

Product Director

Denver, CO · On-site

$135.96K - $171.08K/yr

Preferred bachelor's degree in an IT, computer science, or related field, or equivalent years of ... Work schedule may include some non-traditional hours, weekends, and evening events. * Core office ...

next page

Showing results 1-20

Evening Computer Science Bioinformatics information

What are the key skills and qualifications needed to thrive as an Evening Computer Science Bioinformatics professional, and why are they important?

To excel as an Evening Computer Science Bioinformatics professional, you generally need a solid background in computer science, biology, and data analysis, often supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (like BLAST and Bioconductor), and knowledge of databases are typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting complex data and collaborating with multidisciplinary teams. These competencies ensure accurate analysis, meaningful insights, and seamless integration of computational solutions to biological research challenges.

What are some common challenges faced by professionals working evening shifts in computer science bioinformatics roles?

Professionals in evening computer science bioinformatics positions may encounter challenges such as coordinating with daytime teams, balancing work-life commitments, and managing access to resources that may be less available after hours. Communication with colleagues in different shifts often requires proactive planning to ensure seamless project handoffs and data sharing. However, the evening schedule can also offer a quieter environment for focused analysis and coding, which some professionals find conducive to productivity.

What are Evening Computer Science Bioinformatics jobs?

Evening Computer Science Bioinformatics jobs are positions that primarily take place during evening hours and focus on applying computational methods to analyze biological data. These roles may involve tasks such as writing code to process genetic information, developing algorithms for biological research, and supporting laboratories or research teams outside traditional business hours. Such jobs are ideal for individuals seeking flexible schedules, including students or professionals who prefer working later in the day. Common employers include research institutions, hospitals, and biotech companies with extended operational hours.

What is the difference between Evening Computer Science Bioinformatics vs Evening Data Science?

AspectEvening Computer Science BioinformaticsEvening Data Science
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; certifications like Certified Bioinformatics ProfessionalBachelor's or Master's in Data Science, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentResearch labs, healthcare, biotech companies, academic institutionsTech companies, finance, marketing, healthcare, consulting firms
Employer & Industry UsagePrimarily in biotech, healthcare, academiaAcross various industries including tech, finance, and retail

Evening Computer Science Bioinformatics focuses on analyzing biological data using computational methods, often in healthcare or research settings. Evening Data Science involves extracting insights from large datasets across multiple industries. While both roles require strong programming skills and statistical knowledge, their application areas and industry focus differ significantly.

What are the most commonly searched types of Computer Science Bioinformatics jobs in Colorado? The most popular types of Computer Science Bioinformatics jobs in Colorado are:
Lecturer

$3.25K/wk

Part-time

Posted 29 days ago


University Of Colorado rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

146th of 529 rated colleges and universities


Job description

Position Details
University of Colorado | Denver
Faculty Level/Title: Lecturer
Working Title: Lecturer
FTE: Part-time
Salary Range: $6500 - $7500 per 3 credit course; $3250 per 1 credit lab.
Position #00605249 - Requisition #39732
About the University of Colorado - Denver
Millions of moments start at CU Denver, a place where innovation, research, and learning meet in the heart of a global city. We're the state's premier public urban research university with more than 100 in-demand, top ranked bachelors, master's, and doctoral degree programs. We partner with diverse learners-at any stage of their life and career-for transformative educational experiences. Across seven schools and colleges, our leading faculty inspires and works alongside students to solve complex challenges and produce impactful creative work. As part of the state's largest university system, CU Denver is a major contributor to the Colorado economy, with 2,000 employees and an annual economic impact of $800 million. To learn more about how CU Denver helps learners meet their moment, visit ucdenver.edu.
Job Description
* Applications are accepted electronically ONLY at www.cu.edu/cu-careers *
The University of Colorado Denver seeks individuals with demonstrated commitment to creating an inclusive learning and working environment. We value the ability to engage effectively with students, faculty and staff of diverse backgrounds.
This posting establishes a pool of candidates to fill non-tenure track lecturer positions to teach one or more undergraduate or graduate level course(s) as needed in the Computer Science and Engineering Department on a part-time semester-by-semester basis for AY26/27. Courses will vary from term to term. This position is paid on a per-course basis. Assignments are dependent upon student enrollments. The department is interested in experienced software engineering professionals to teach undergraduate security courses, undergraduate level discrete structures and graduate level software engineering courses. There are no travel and relocation expenses available.
Lecturer
What you will do:
• Teach one to three classes as assigned per term.
• Prepare for each class session and deliver balanced, rigorous lessons via Canvas and Zoom in accordance with prescribed curricular objectives and outcomes.
• Hold weekly office hours as appropriate per course allocation.
• Assess student progress according to curricular objectives and adhere to program policies.
• Record attendance and grades online and be accessible for communication with students.
Qualifications you already possess (Minimum Qualifications)
Applicants must meet minimum qualifications at the time of hire.
• A Master of Science degree in computer science or a related field is required for teaching undergraduate level courses. A combination of a bachelor's degree and 5 years of directly related experience may be substituted for the master's degree.
• A PhD degree in computer science or related fields is required for teaching graduate level courses. A combination of a master's degree and 5 years of related experience may be substituted for the PhD.
Preferred Qualification to possess (Preferred Qualifications)
• Candidates with teaching experience in the higher education environment are preferred.
• Candidates with research or industrial experience in a related discipline are preferred.
• Candidates residing within proximity to campus are preferred.
Knowledge, Skills, and Abilities
• Ability to integrate academic knowledge and current field practices into the classroom.
• Ability to clearly explain complex concepts.
• Ability to maintain an engaging, productive classroom with a diverse range of students.
• Ability to effectively use technology in the classroom.
Conditions of Employment
• This position follows a hybrid work structure where employees can work remotely or from the office, as needed, based on demands of specific tasks or personal work preferences. Working from the office is encouraged when working on tasks that require a high degree of collaboration.
• Occasional work during the evening may be required.
Mental, Physical, and/or Environmental Requirements
• This position may be performed in a hybrid environment, requiring the ability to work effectively in a remote setting. This includes maintaining a dedicated workspace free of excessive noise or distractions, reliable internet connectivity, and the ability to participate in virtual meetings for extended periods. Employees must be able to independently manage time, remain stationary for prolonged computer-based work, and transport necessary equipment (such as a laptop and peripherals) between their remote work location and the office as needed.
• The ability to lecture for full class periods, utilize white boards or similar communication methods, and ability to oversee hands-on activities.
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 accommodation 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 workplaceengagement@ucdenver.edu.
Employment Sponsorship
Please be advised that this position is not eligible now or in the future for visa sponsorship.
Compensation and Benefits
The salary range (or hiring range) for this position has been established at $6500 - $7500 per 3 credit course; $3250 per 1 credit lab.
The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty, and training.
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.
Your total compensation goes beyond the number on your paycheck. The University of Colorado Denver provides generous leave, health plans and retirement contributions that add to your bottom line.
Benefits statement to include in all benefits-eligible positions. See Eligibility Matrix.
Benefits: https://www.cu.edu/employee-services/benefit
Total Compensation Calculator: http://www.cu.edu/node/153125
Application Deadline
This is an open continuous position for AY26/27. Once you apply you will be placed on our candidate inventory list and will continuously be considered for positions as vacancies become available.
Required Application Materials:
To apply, please visit: http://www.cu.edu/cu-careers and attach:
• A cover letter which specifically addresses the job requirements and outlines qualification
• A current CV/resume
• List of three references (we will notify you prior to contacting both on and off-list references)
Questions should be directed to Kelly Konrad at Kelly.p.konrad@ucdenver.edu
Background Check Policy
The University of Colorado Denver strives to maintain a safe and productive educational, clinical, research and employment environment. All prospective employees and current employees must, therefore, consent to and pass background checks prior to any final appointment/employment.

What University Of Colorado employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom