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Bioinformatic Engineer Jobs (NOW HIRING)

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Bioinformatic Engineer information

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$33K

$89.2K

$142K

How much do bioinformatic engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for bioinformatic engineer in the United States is $89,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $109,000.00 per year, depending on experience, location, and employer.

What is the difference between Bioinformatic Engineer vs Bioinformatics Analyst?

AspectBioinformatic EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Bioinformatics, Biology, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisAnalyzes biological data, interprets results, and reports findings

While both roles involve biological data, Bioinformatic Engineers focus on developing computational tools and pipelines, whereas Bioinformatics Analysts primarily interpret data and generate insights. Both positions require similar educational backgrounds and are vital in research and healthcare settings, but their core responsibilities differ in development versus analysis.

What are some common challenges faced by Bioinformatic Engineers when working with large-scale genomic data?

Bioinformatic Engineers often encounter challenges related to managing and processing vast amounts of genomic data, which can require significant computational resources and efficient data handling strategies. Ensuring data integrity, reproducibility of analyses, and effective collaboration with multidisciplinary teams of biologists, statisticians, and software developers are also key aspects of the role. Staying updated with the latest bioinformatics tools and pipelines is essential, as the field evolves rapidly. Overcoming these challenges requires strong problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders.

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

To thrive as a Bioinformatic Engineer, you need a strong background in computational biology, programming (such as Python or R), statistics, and a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (like BLAST, GATK, or Bioconductor), data analysis platforms, and experience with databases such as SQL are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills are essential for accurately analyzing biological data, deriving meaningful insights, and facilitating research or clinical advancements.

What are Bioinformatic Engineers?

Bioinformatic Engineers are professionals who develop and apply computational tools and techniques to analyze biological data, such as DNA sequences, protein structures, and genetic information. They combine expertise in computer science, biology, and mathematics to process large datasets generated by modern biological experiments. Their work supports research in areas like genomics, drug discovery, and personalized medicine by helping scientists make sense of complex biological data.
More about Bioinformatic Engineer jobs
What cities are hiring for Bioinformatic Engineer jobs? Cities with the most Bioinformatic Engineer job openings:
What states have the most Bioinformatic Engineer jobs? States with the most job openings for Bioinformatic Engineer jobs include:
Infographic showing various Bioinformatic Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $89,183 per year, or $42.9 per hour.
Sr. Bioinformatics ML/AI Engineer

Sr. Bioinformatics ML/AI Engineer

Baylor Genetics

Houston, TX

Other

Posted 24 days ago


Job description

A seasoned machine learning and AI application engineer with strong knowledge and hands-on experience in bioinformatics, genomic/clinical data modeling, AI/GenAI application development, data engineering, and cloud computing.
QUALIFICATIONS:

  • Education:
    • Master's or higher degree in Computer Engineering, Data Science, Bioinformatics, Machine Learning, and Data modeling, or related field with five (5) years of experience in genomic data analysis and application development.
  • Experience:
    • Hands-on experience in clinical bioinformatics pipeline development, including secondary/tertiary analysis, variant interpretation and classification pipeline R&D, and automated report generation
    • Hands-on experience in human genetics/multi-omics data modeling and application development, especially in next-generation sequencing data
    • Hands-on experience in machine learning framework (such as Huggingface, TensorFlow)
    • Hands-on experience in automated and scalable AI/GenAI application evaluation, development, and deployment.
    • Hands-on experience in RAG AI framework
    • Hands-on experience with scripting languages, such as Bash and Python
    • Strong experience in cloud platform (Azure) and data services (data lakehouse/data warehouse)
    • Experience in context-aware OCR
    • Experience in databases, including SQL and NoSQL
    • Familiarity with advanced data visualization techniques
    • DevOps experience such as unit testing, CI/CD is a plus.
    • Strong curiosity and the ability to learn quickly and adapt to a fast-changing environment
DUTIES AND RESPONSIBILITIES:
  • Serves as the SME in Bioinformatics ML/AI application development in a clinical genetic testing setting. Provides hands-on support towards building the company's next-generation bioinformatics ML/AI platform
  • Designs, develops, evaluates, and deploys state-of-the-art ML/AI solutions to gain valuable data insights based on the genetical, phenotypical, and clinical datasets
  • Evaluates, adopts, and customizes GenAI models based on both internal and external datasets to enhance the overall performance of the genetic testing workflow
  • Supports both internal and external data requirements by leveraging AI/ML and GenAI capabilities to keep up with the increasing demands of the business
  • Collaborates in a multidisciplinary and regulated clinical diagnostics environment with geneticists, bioinformaticians, software engineers, and IT infrastructure professionals
PHYSICAL DEMANDS AND WORK ENVIRONMENT:
  • Frequently required to sit
  • Frequently required to stand
  • Frequently required to utilize hand and finger dexterity
  • Frequently required to talk or hear
  • Frequently required to utilize visual acuity to operate equipment, read technical information, and/or use a keyboard
  • Occasionally exposed to bloodborne and airborne pathogens or infectious materials
EEO Statement:
Baylor Genetics is proud to be an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, gender identity, veteran status, disability, genetic information, pregnancy, childbirth, or related medical conditions, or any other status protected under applicable federal, state, or local law.
Summary:
The Director, Corporate Financial Planning & Analysis is responsible for leading Baylor Genetics' strategic financial planning, budgeting, forecasting, FP&A process improvement. This role plays a critical part in aligning financial strategy with long-term business goals. The Director will provide executive-level insights to leadership and external stakeholders while ensuring financial models and projections reflect the organization's growth trajectory and performance.
Qualifications and Experience:
  • Education:
    • Bachelor's degree in Finance, Accounting, or a related field; MBA or relevant advanced degree preferred.
Experience:
  • Minimum of 10 years of experience in financial planning and analysis or corporate finance
  • At least 3 years in a financial leadership role
  • Proven success in FP&A process improvement, experience in Adaptive planning platform implementation required
  • Strong background in financial modeling, budgeting, and strategic forecasting
Duties and Responsibilities:
  • Strategic Financial Planning & Forecasting:
    • Lead the development of company-wide financial models and long-term forecasts
    • Translate strategic objectives into detailed financial plans aligned with organizational priorities
    • Collaborate with executive leadership to assess financial performance, risks, and growth opportunities
Budget and Forecast Management:
  • Oversee the annual budgeting process and rolling forecasts
  • Ensure alignment between actual results and forecasts, identifying key trends and drivers
  • Partner with department heads to develop financially sound operational plans
Revenue Analysis & Decision Support:
  • Lead revenue and margin analysis to support strategic decision-making
  • Drive business performance by analyzing sales trends, pricing strategies, and market dynamics
  • Provide financial insights that support resource allocation and investment decisions
Dashboards, Planning and Reporting:
  • Develop and maintain dashboards, planning and reporting tools for executive and departmental use including Adaptive planning platform
  • Provide timely and actionable financial insights to guide company performance
Team Leadership:
  • Build and lead a high-performing FP&A team
  • Foster a culture of collaboration, continuous improvement, and accountability
Physical Demands and Work Environment:
  • Frequently required to
  • Frequently required to utilize hand and finger
  • Frequently required to talk or
EEO Statement:
Baylor Genetics is proud to be an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, gender identity, veteran status, disability, genetic information, pregnancy, childbirth, or related medical conditions, or any other status protected under applicable federal, state, or local law.
Note to Recruiters:
We value building direct relationships with our candidates and prefer to manage our hiring process internally. While we occasionally partner with select recruitment agencies for specialized roles, we do not accept unsolicited resumes from recruiters or agencies without a written agreement executed by the authorized signatory for Baylor Genetics ("Agreement"). Any resumes submitted to Baylor Genetics in the absence of an Agreement executed by Baylor Genetics' authorized signatory will be considered the property of Baylor Genetics, and Baylor Genetics will not be obligated to pay any associated recruitment fees.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.