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Bioinformatics Engineering Jobs in Colorado (NOW HIRING)

University of Colorado

Postdoctoral Fellow/Trainee

Aurora, CO · On-site

$49K - $67K/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 ...

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Bioinformatics Engineering information

What is the difference between Bioinformatics Engineering vs Bioinformatics Analyst?

AspectBioinformatics EngineeringBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for data analysisInterprets data, generates reports, supports research projects

Bioinformatics Engineering focuses on developing software and pipelines for data processing, requiring programming expertise. In contrast, Bioinformatics Analysts primarily interpret data and generate insights, often with a stronger emphasis on biological knowledge. Both roles are vital in biotech and healthcare industries, but they differ in technical scope and daily tasks.

What is a bioinformatics engineer?

A bioinformatics engineer is a professional who develops and applies computational tools and techniques to analyze and interpret biological data, such as DNA sequences or protein structures. They combine expertise in computer science, biology, and mathematics to create software, manage databases, and solve complex biological problems. Bioinformatics engineers often work in research, pharmaceuticals, healthcare, and biotechnology industries to help advance scientific discoveries and medical innovations.

What engineers make $500,000?

Senior bioinformatics engineers with extensive experience, advanced skills in programming, data analysis, and familiarity with tools like Python, R, and cloud platforms can reach salaries of $500,000 or more, especially in high-demand industries or leadership roles. Achieving this level often requires a combination of technical expertise, industry experience, and sometimes managerial responsibilities.

How do bioinformatics engineers typically collaborate with biologists and data scientists in a research setting?

Bioinformatics engineers frequently work in cross-disciplinary teams, partnering closely with biologists to understand experimental goals and with data scientists to analyze complex datasets. Effective communication is key, as engineers must translate biological questions into computational workflows and interpret results in a way that is meaningful to non-technical team members. This collaborative approach not only accelerates research but also helps engineers gain a deeper understanding of biological processes, which can lead to more innovative solutions and professional growth.

How much does a bioinformatics engineer make?

The average salary for a bioinformatics engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals with advanced skills in programming, data analysis, and familiarity with tools like Python, R, and Linux tend to earn higher salaries.

What are the key skills and qualifications needed to thrive as a Bioinformatics Engineer, and why are they important?

To thrive as a Bioinformatics Engineer, you need a solid background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and proficiency with databases and cloud computing platforms are typically required. Strong problem-solving, analytical thinking, and collaboration skills set standout professionals apart in this interdisciplinary field. These competencies are crucial for effectively analyzing complex biological data and driving innovation in life sciences research.

What do bioinformatics engineers do?

Bioinformatics engineers develop and implement computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research and medical applications.

What engineers make $300,000 a year?

Senior bioinformatics engineers with extensive experience, advanced skills in programming, data analysis, and familiarity with tools like Python, R, and cloud platforms can earn $300,000 or more annually, especially in high-demand biotech or pharmaceutical industries. Achieving this level often requires advanced degrees, certifications, and leadership responsibilities.
What are popular job titles related to Bioinformatics Engineering jobs in Colorado? For Bioinformatics Engineering jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Engineering jobs in Colorado look for? The top searched job categories for Bioinformatics Engineering jobs in Colorado are:
What cities in Colorado are hiring for Bioinformatics Engineering jobs? Cities in Colorado with the most Bioinformatics Engineering job openings:
Bioinformatics Engineering jobs near you

Biology - Graduates - AI Training - Colorado Springs, US

Prolific Academic Ltd

Colorado Springs, CO • On-site, Remote

$60/hr

Full-time

Posted 10 days ago

Job description

Biology - Graduates - AI TrainingAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role
We're looking for Biology Experts and Life Science Professionals to join our Expert Network to help train and evaluate cutting-edge AI models using real scientific expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to $60 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Education: a BS, MS, or PhD in Biology, Molecular Biology, Genetics, Bioinformatics, Pharmacology, or a related Life Sciences field.
  • Professional Experience: years of experience in laboratory research, clinical trials, biotech, or academic instruction.
  • Scientific Literacy: the ability to interpret complex biological data, peer-reviewed journals, and technical protocols with high precision.
  • Critical Thinking: a sharp eye for identifying scientific "hallucinations," such as incorrect protein folding logic, misapplied genetic sequences, or flawed experimental designs.
  • Methodological Knowledge: deep understanding of the scientific method, statistical significance in biological contexts, and regulatory standards.
  • Communication: ability to explain intricate biological pathways or cellular mechanisms in clear, accurate technical prose.
  • A PayPal account to receive payment from our clients
What you'll be doing in the role
  • Evaluate AI-Generated Science: review model responses to complex biological queries for factual accuracy, reasoning, and adherence to current scientific consensus.
  • Fact-Check Technical Claims: validate citations from public databases (e.g., PubMed, NCBI) and ensure AI-generated summaries of research papers are accurate.
  • Assess Experimental Logic: critique AI-proposed experimental designs, including controls, variables, and troubleshooting steps for lab procedures.
  • Annotate Scientific Data: identify and correct errors in model-generated biological sequences, chemical structures, or taxonomy classifications.
  • Ensure Ethical Alignment: verify that AI responses regarding bioethics and sensitive biological data comply with professional and safety standards.
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using your professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Apply directly here: https://app.prolific.com/register/participant/waitlist/?campaign_code=C1VW35RD

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.