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Bioinformatics Engineering Jobs in Kentucky (NOW HIRING)

Qualifications, Skills, and Experience Required: * BS or MS in Computer Science, Computer Engineering, Biomedical Engineering, Bioinformatics, Physics, Applied Mathematics, or related discipline * 5+ ...

Requirements Qualifications, Skills, and Experience Required: * BS or MS in Computer Science, Computer Engineering, Biomedical Engineering, Bioinformatics, Physics, Applied Mathematics, or related ...

Requirements Qualifications, Skills, and Experience Required: * BS or MS in Computer Science, Computer Engineering, Biomedical Engineering, Bioinformatics, Physics, Applied Mathematics, or related ...

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 such as biotech and pharmaceuticals. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

Is there a demand for bioengineers?

Bioinformatics engineers are in high demand due to the growth of personalized medicine, genomics, and biotechnology industries. They often work with tools like sequencing technologies and programming languages such as Python or R, and strong analytical skills are essential for success in this field.

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.

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 reach or exceed a $300,000 annual salary, especially in high-demand biotech or pharmaceutical industries. Such roles often require advanced degrees and leadership responsibilities, with compensation reflecting expertise and impact on research or product development.
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What cities in Kentucky are hiring for Bioinformatics Engineering jobs? Cities in Kentucky with the most Bioinformatics Engineering job openings:

Image Data Scientist

Space Tango LLC

Lexington, KY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Description:

Space Tango is an innovative space technology small business based in Lexington, Ky. Space Tango's mission is to manufacture health and technology products in space that create value and transformational solutions. Space Tango provides space-based automated facilities and payloads to support research and development and small-scale manufacturing needs of our partners and customers in the Low Earth Orbit environment and beyond. As a leader in automated systems, Space Tango pursues pathways to on-orbit production. Our vision is to inspire, innovate, and create a better future for humanity by utilizing the environment of space.


The Image Data Scientist position serves as the company’s technical lead and subject matter expert for imaging systems used within its spaceflight payloads and facilities. This role develops, integrates, tests, and maintains software supporting Space Tango's spaceflight payloads, while leading the continual advancement of imaging hardware, software, and analysis capabilities. Working across software, electrical, mechanical, science, and operations teams, the Image Data Scientist supports both new mission development and existing flight systems, developing image acquisition, processing, path optimization, and post-processing solutions that enable autonomous operations and scientific investigations in microgravity.


Travel may be required to support launches, customer activities, partner integrations, and mission operations. Because Space Tango's business centers around spaceflight missions, candidates should be comfortable supporting non-standard work schedules, including occasional evenings, weekends, holidays, and other non-nominal hours when required for launch campaigns, testing, or on-orbit operations.


Key Responsibilities

  • Design, develop, integrate, test, maintain, and enhance software supporting Space Tango payloads and facilities, including image acquisition, processing, visualization, and analysis capabilities.
  • Develop new software features while maintaining and improving existing software platforms used across multiple spaceflight missions.
  • Develop and enhance automated image-analysis and post-processing pipelines that generate reliable, reproducible scientific results.
  • Collaborate with external customers and internal scientists to translate scientific objectives into automated imaging and analysis workflows.
  • Optimize image-processing algorithms for biological experiments conducted in microgravity.
  • Develop computer vision techniques for feature detection, segmentation, tracking, quantification, and quality assessment.
  • Support real-time and post-flight image processing for customer investigations.
  • Support software integration, verification, testing, troubleshooting, and flight operations throughout the project lifecycle.
  • Collaborate with science, software, mechanical, electrical, and mission operations teams to ensure imaging systems meet scientific objectives.
  • Develop validation methods and quality metrics for imaging pipelines.
  • Support payload integration, testing, flight operations, and customer data reviews.
  • Evaluate emerging imaging technologies, AI methods, computer vision, and image-analysis techniques applicable to future missions.
  • Serve as the company’s technical owner for bioimaging software, analysis methods, and imaging workflows by establishing best practices and driving continual improvement across the organization.
Requirements:

Qualifications, Skills, and Experience


Required:

  • BS or MS in Computer Science, Computer Engineering, Biomedical Engineering, Bioinformatics, Physics, Applied Mathematics, or related discipline
  • 5+ years developing scientific software or image-analysis applications
  • Strong Python experience
  • Experience developing scientific software, image-analysis applications, or data-processing pipelines.
  • Experience with scientific imaging, computer vision, microscopy, or related image-processing applications.
  • ImageJ, Cellpose, StarDist, SAM, PyTorch, Bio-Formats
  • Willingness to support non-nominal hours, including evenings, weekends, and holidays, as required for launches, testing, and mission operations.

Preferred:

  • Experience with spaceflight payloads, aerospace systems, robotics, lab automation, or embedded systems.
  • Deep learning for image segmentation/classification
  • Experience with Git and familiarity with Python development workflows, Docker, or CI/CD workflows.
  • Experience supporting biological or biomedical research.
  • Experience collaborating with multidisciplinary engineering and scientific teams.
  • Familiarity with NASA mission operations, quality systems, or regulated technical environments.

Interpersonal Skills

  • Strong attention to detail.
  • Calm, disciplined execution during time-sensitive operations.
  • Ability to collaborate across software, hardware, science, operations, and project management teams.
  • Ability to manage multiple priorities while maintaining high attention to detail.
  • Excellent written and verbal communication skills.
  • Willingness to learn new systems, tools, and procedures quickly.
  • Commitment to team success and mission reliability.

Space Tango is an Equal Opportunity Employer; employment with Space Tango is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.


This position may require access to technology and information subject to U.S. export control laws, including the International Traffic in Arms Regulations (ITAR) and the Export Administration Regulations (EAR). Employment is contingent upon the ability to obtain any necessary government authorizations to access and handle controlled technology and data. Candidates must be able to comply with all applicable export control regulations.