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Evening Computer Science Bioinformatics Jobs in Indiana

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What is an evening computer science bioinformatics job?

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 are 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 the key skills and qualifications needed to thrive as an evening computer science bioinformatics professional?

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 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 Indiana?

The most popular types of Computer Science Bioinformatics jobs in Indiana are:

What cities in Indiana are hiring for Evening Computer Science Bioinformatics jobs?

Cities in Indiana with the most Evening Computer Science Bioinformatics job openings:

Evening Computer Science Bioinformatics jobs near you

Lecturer, Library and Information Science

Indianapolis, IN • On-site

Indiana University Academic Positions
See more jobs at Indiana University Academic Positionsexternal

Full-time

Posted 5 days ago

Job description

Position Details
Title Lecturer, Library and Information Science Appointment Status Non-Tenure Track Department IU Indianapolis Department of Library and Information Science - Luddy School Location Indianapolis Position Summary
The Indiana University Luddy School of Informatics, Computing, and Engineering in Indianapolis invites applications for one full-time lecturer-track faculty position in the Department of Library and Information Science. The appointment will begin on August 1, 2027. This 10-month appointment (August through May) is annually renewable, based upon satisfactory performance.
Additional compensation is available for candidates interested in teaching during the summer months.
A committed educator is sought to join our department on the Indianapolis campus. We are interested in candidates with one or more of the following areas of expertise:
  • Digital preservation & web archiving
  • Electronic records management
  • Archival intelligence
  • Database and asset management
Candidates must have experience effectively teaching in an online environment and five or more years of professional (industry) experience in one or more areas of expertise listed above. A deep understanding of career opportunities in the information professions and a passion for graduate student mentoring for academic and professional success is necessary.
Ideal candidates will also shape their teaching in ways that leverage the unique strengths of Luddy Indianapolis, including its interdisciplinary and collaborative environment and commitment to service and community engagement. We especially welcome candidates who bring direct experience or novel approaches to incorporating generative Artificial Intelligence (AI) (and related tools) to enhance student learning. Public syllabi for courses offered in our program can be found at: https://syllabi.iu.edu/
Responsibilities
Full-time lecturer-track faculty commit to a balanced workload of teaching and service, which includes:
Teach graduate courses in the LIS department; typically, four course section/equivalents per semester and 3-5 different courses per academic year
Supervise independent studies
Mentor graduate students
Contribute to course and curriculum development
Contribute to the department, school and campus level, and the professional community through service (e.g., committees, initiatives, task forces, etc.)
How to apply
Application instructions are available at https://luddy.indianapolis.iu.edu/about/openings.html. To ensure full consideration, please submit your application materials through our electronic system. Applications received by December 1, 2026, will receive priority. However, the position will remain open until filled. Questions about this position can be directed to search committee chair, Austin Stroud, austroud@iu.edu.
About the Department of Library and Information Science https://luddy.indianapolis.iu.edu/departments/lis/index.html
In 2000, the Indianapolis location of the Indiana University School of Library and Information Science was founded to provide high-quality library education to students who could not be residential students, needing distance learning options. The Department is ALA-accredited, offering students a wide array of academic and career specializations. The LIS department is particularly strong in the application of technology to the information professions and in public libraries, children/youth services, and increasingly archives, particularly digital curation. Tenure track and lecturer faculty work together to provide engaged and engaging education with a commitment to the development of the library and information professions. Securing external funding for student support and faculty research is important to the Department and to the School.
About the Indiana University Luddy School of Informatics, Computing, and Engineering - Indianapolis https://luddy.indianapolis.iu.edu/index.html
The Indiana University School of Informatics and Computing was the first completely new school in the United States devoted exclusively to Informatics and a range of its sub-disciplines. In 2013 the Indiana University School of Library and Information Science merged with the School of Informatics. With its formative national role in creating the nation's largest Informatics Program on the Bloomington and Indianapolis campus, the school is the broadest and one of the largest information/computing schools in the U.S. At IU Indianapolis, the school offers six Ph.D. programs (Bioinformatics, Data Science, Computer Science, Health and Biomedical Informatics, and Information Science), eight Master's programs (Applied Data Science, Bioinformatics, Biomedical Engineering, Computer Science, Health Informatics, Human-Computer Interaction, Library and Information Science, and Software Engineering), eight Baccalaureate programs (Artificial Intelligence, Biomedical Informatics, Computer Science, Data Science, Full Stack Developer, Health Information Management, Informatics and Media Arts and Science), and several undergraduate and graduate certificate programs.
About Indiana University Indianapolis https://indianapolis.iu.edu/
The IU Indianapolis campus, with over 20,000 students, is located on a large tract of land adjacent to downtown Indianapolis. IU Indy offers a full range of academic programs and is the only R1 research university in the city of Indianapolis. Indiana University is an academic leader in the development and use of information technology.
About Indianapolis To learn more about Indianapolis, see any of the following websites:
  • Indianapolis Neighborhoods -- https://www.lonelyplanet.com/articles/best-neighborhoods-in-indianapolis
  • IndyParks, over 150 parks in and around the city - www.indyparks.org
  • Local Government & Neighborhoods - www.indy.gov
  • Downtown - https://downtownindy.org/
  • Tourism - www.visitindy.com
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University's Notice of Non-Discrimination here which includes contact information.
Basic Qualifications
Required Qualifications
  • ALA-accredited MLS/MLIS degree
  • 5+ years of professional experience related to one or more of the above listed areas of expertise
  • Knowledge of pedagogical theory and state-of-the-art practice
  • Documented effective teaching at the graduate level
  • An ability to adapt pedagogy for changing methodologies, technologies, and student needs
  • A commitment to departmental and school service, especially when and where curriculum development and instruction are key concerns
  • A willingness to lead pedagogical and assessment initiatives

Preferred Qualifications
  • Previous instructional experience in higher education
Department Contact for Questions
Austin Stroud, PhD, search committee chair, austroud@iu.edu
Additional Qualifications Salary and Rank Special Instructions For Best Consideration Date 12/01/2026 Expected Start Date 08/01/2027 Posting Number IU-101662-2026

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