1

Trainee Bioinformatics Software Engineer Jobs in Illinois

Information, Software, Data, or Infrastructure. Responsibilities: * Independently design and ... Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another life sciences ...

Information, Software, Data, or Infrastructure. Responsibilities: * Independently design and ... Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another life sciences ...

Information, Software, Data, or Infrastructure. Responsibilities: * Independently design and ... Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another life sciences ...

Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

Minimum 2 years of experience in developing bioinformatic methods, analysis pipelines, or software tools for biological data using appropriate programming language. * Minimum of 1 year of experience ...

... software (CRM, Karmak Fusion, Decisiv, PACCAR.net, etc.) and customer management. * Growth ... Bachelor or Associate's degree preferred in business, marketing, transportation, engineering, or a ...

Showing results 21-40

Trainee Bioinformatics Software Engineer information

What are some common challenges faced by trainee bioinformatics software engineers when transitioning from academic projects to industry roles?

Trainee Bioinformatics Software Engineers often find the shift from academic to industry settings challenging due to differences in project scope, timelines, and collaborative expectations. In industry, there is a greater emphasis on writing maintainable, well-documented code and following software development best practices, such as version control and code reviews. Additionally, trainees must quickly adapt to working in cross-functional teams that include biologists, data scientists, and senior engineers, requiring strong communication and teamwork skills. Managing competing priorities and meeting strict deadlines can also be a new experience compared to the typically flexible timelines of academic research.

What is a trainee bioinformatics software engineer?

A Trainee Bioinformatics Software Engineer is an entry-level professional who assists in developing and maintaining software tools used to analyze biological data, such as DNA sequences or protein structures. They typically work under the supervision of experienced bioinformaticians and software engineers, learning to write code, manage databases, and process complex scientific datasets. The role often requires a mix of programming skills and a basic understanding of biology, allowing trainees to bridge the gap between computational and life sciences. As they gain experience, they contribute more significantly to research projects and the development of new bioinformatics applications.

What are the key skills and qualifications needed to thrive as a trainee bioinformatics software engineer?

To thrive as a Trainee Bioinformatics Software Engineer, you need a strong background in biology, computer science, or a related field, with foundational programming skills in languages like Python or R. Familiarity with bioinformatics tools, databases, and version control systems such as Git is typically required, and coursework or certifications in bioinformatics are advantageous. Analytical thinking, attention to detail, and effective communication are valuable soft skills for collaborating with interdisciplinary teams and interpreting complex data. These competencies enable you to efficiently develop software solutions and contribute to meaningful biological research.

What is the difference between Trainee Bioinformatics Software Engineer vs Junior Bioinformatics Developer?

AspectTrainee Bioinformatics Software EngineerJunior Bioinformatics Developer
Required CredentialsTypically a recent graduate or in early training, with a degree in bioinformatics, computer science, or related fieldsSimilar educational background, often entry-level or with minimal professional experience
Work EnvironmentTraining programs, internships, or entry-level projects within research labs or biotech companiesEntry-level roles in research teams or biotech firms, focusing on developing bioinformatics tools
Employer & Industry UsageUsed by companies and research institutions to train new talent in bioinformatics software developmentCommonly employed in biotech, pharma, and research organizations for initial software development tasks

The main difference is that a Trainee Bioinformatics Software Engineer is in a training or internship phase, focusing on learning and skill development, while a Junior Bioinformatics Developer is an entry-level professional actively contributing to projects. Both roles require similar educational backgrounds but differ in experience level and responsibilities.

What are the most commonly searched types of Bioinformatics Software Engineer jobs in Illinois? The most popular types of Bioinformatics Software Engineer jobs in Illinois are:
What are popular job titles related to Trainee Bioinformatics Software Engineer jobs in Illinois? For Trainee Bioinformatics Software Engineer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Trainee Bioinformatics Software Engineer jobs in Illinois look for? The top searched job categories for Trainee Bioinformatics Software Engineer jobs in Illinois are:
What cities in Illinois are hiring for Trainee Bioinformatics Software Engineer jobs? Cities in Illinois with the most Trainee Bioinformatics Software Engineer job openings:

AI Training Specialist - Life Sciences

micro1 AI

Naperville, IL โ€ข Remote

$90 - $120/hr

Part-time

Posted 11 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.