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Bachelors In Bioinformatics Jobs (NOW HIRING)

Theiagen Genomics

Bioinformatics Analyst I

Denver, CO · On-site +1

Bachelor's degree in bioinformatics, biostatistics, microbiology, molecular biology, or a related field. * Demonstrated experience applying bioinformatics tools and workflows to answer biological ...

Jobgether

Bachelor's degree in Bioinformatics, Computational Biology, Computer Science, or a related field; advanced degrees are a plus. * Proven experience developing bioinformatics algorithms and building ...

Guidehouse

Bioinformatics Support Analyst

$85K - $141K/yr

Bachelor's degree or higher in bioinformatics, computational biology, biomedical informatics, or a related field Experience * TWO (2) years experience working with bioscientific, genomic, or clinical ...

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How much do bachelors in bioinformatics jobs pay per year?

As of Jul 22, 2026, the average yearly pay for bachelors in bioinformatics in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the difference between Bachelors In Bioinformatics vs Bachelors In Biotechnology?

AspectBachelors In BioinformaticsBachelors In Biotechnology
Required CredentialsBachelor's degree in bioinformatics, computer science, or related fieldsBachelor's degree in biotechnology, biology, or related fields
Work EnvironmentResearch labs, data analysis, software developmentLaboratories, manufacturing, research and development
Industry UsageHealthcare, pharmaceuticals, research institutionsPharmaceuticals, agriculture, medical devices

Both degrees prepare students for roles in biotech and healthcare sectors, but Bachelors In Bioinformatics focuses on computational analysis of biological data, while Bachelors In Biotechnology emphasizes laboratory techniques and product development. Your choice depends on whether you prefer data-driven research or hands-on lab work.

Can you get a job with a Bachelor's in bioinformatics?

A Bachelor's in bioinformatics can qualify you for entry-level roles such as bioinformatics technician, research assistant, or data analyst in biotech, healthcare, or research institutions. Success often depends on relevant skills like programming, data analysis, and familiarity with tools such as Python, R, or SQL, along with internships or project experience. Advanced positions may require further education or specialized training.

What types of collaborative projects can someone with a Bachelor's in Bioinformatics expect to work on in an entry-level position?

In an entry-level bioinformatics role, you'll often collaborate with interdisciplinary teams that may include biologists, computer scientists, and statisticians. Typical projects involve tasks like analyzing genomic data, developing data pipelines, or assisting with the management of large biological datasets. You might also contribute to research publications or support experimental design by providing computational insights. This teamwork fosters a dynamic work environment where communication and adaptability are highly valued.

Is AI going to replace bioinformatics?

AI is a tool that complements bioinformatics by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatics professionals. Bioinformatics roles require domain expertise, interpretation of complex biological data, and integration of multiple data types, which AI cannot fully replicate. Professionals in bioinformatics should focus on developing skills in data analysis, programming, and understanding biological systems to stay relevant as AI advances.

What can you do with a bioinformatics degree?

A bioinformatics degree prepares individuals for roles such as bioinformatics analyst, computational biologist, or research scientist, involving data analysis of biological data using tools like R, Python, and specialized databases. Graduates often work in healthcare, pharmaceuticals, research institutions, or biotech companies, applying skills in genomics, proteomics, and systems biology. The field requires strong analytical skills, knowledge of biology and computer science, and often familiarity with laboratory environments and data management.

What are the key skills and qualifications needed to thrive with a Bachelor's in Bioinformatics, and why are they important?

To thrive with a Bachelor's in Bioinformatics, you need a solid background in biology, computer science, statistics, and data analysis. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (like BLAST or Bioconductor), and understanding of databases are typically essential. Strong problem-solving abilities, communication skills, and attention to detail help you effectively collaborate and interpret complex biological data. These competencies are crucial for analyzing and translating biological information into actionable insights in research, healthcare, or industry settings.

Is bioinformatics a high paying job?

Bioinformatics professionals often earn competitive salaries due to their specialized skills in biology, computer science, and data analysis. Salaries vary based on experience, education, and location, but many roles in this field offer above-average compensation compared to other entry-level science jobs.

What is a Bachelor's in Bioinformatics?

A Bachelor's in Bioinformatics is an undergraduate degree program that combines biology, computer science, mathematics, and statistics to analyze and interpret biological data. Students learn how to use computational tools to manage and study large datasets, such as genetic sequences or protein structures. This interdisciplinary field prepares graduates for careers in healthcare, pharmaceuticals, research, and biotechnology, or for further study in graduate programs. The curriculum typically includes courses in molecular biology, programming, data analysis, and genomics.
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Bachelors In Bioinformatics jobs near you
Infographic showing various Bachelors In Bioinformatics job openings in the United States as of July 2026, with employment types broken down into 8% Locum Tenens, 1% As Needed, 86% Full Time, 4% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Sr. Bioinformatics ML/AI Engineer

Sr. Bioinformatics ML/AI Engineer

Baylor Genetics

Houston, TX • On-site

Full-time

Posted 3 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.

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