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Biotechnology Bioinformatics Jobs (NOW HIRING)

Bioinformatics Scientist

Boston, MA ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Every team member plays a crucial role in driving the future of biotech research, building the ...

Bioinformatics Scientist

Winter Park, FL ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $150,000 - $180,000 Location: San Francisco, CA ... Every team member plays a crucial role in driving the future of biotech research, building the ...

Bioinformatics Scientist

Winter Park, FL ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $150,000 - $180,000 Location: San Francisco ... Every team member plays a crucial role in driving the future of biotech research, building the ...

Bioinformatics Scientist

Boston, MA ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Every team member plays a crucial role in driving the future of biotech research, building the ...

Bioinformatics Scientist

Ann Arbor, MI ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Every team member plays a crucial role in driving the future of biotech research, building the ...

Bioinformatics Scientist

Boston, MA ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Every team member plays a crucial role in driving the future of biotech research, building the ...

Bioinformatics Scientist

Winter Park, FL ยท On-site

$150K - $180K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $150,000 - $180,000 Location: San Francisco, CA ... Every team member plays a crucial role in driving the future of biotech research, building the ...

Bioinformatics Scientist

Boston, MA ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Every team member plays a crucial role in driving the future of biotech research, building the ...

Bioinformatics Leader

Boston, MA ยท On-site

$200K - $229K/yr

Bioinformatics Leader ZSD's bioinformatics team delivers work spanning multi-omics analysis ... Experience in a consulting firm, CRO, biotech, or pharma R&D environment preferred; client-facing ...

Bioinformatics Scientist

Boston, MA ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Every team member plays a crucial role in driving the future of biotech research, building the ...

Bioinformatics Scientist

Boston, MA ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Every team member plays a crucial role in driving the future of biotech research, building the ...

Bioinformatics Scientist

Ann Arbor, MI ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Every team member plays a crucial role in driving the future of biotech research, building the ...

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Showing results 1-20

Biotechnology Bioinformatics information

See salary details

$59.5K

$94.5K

$149.5K

How much do biotechnology bioinformatics jobs pay per year?

As of Aug 20, 2026, the average yearly pay for biotechnology 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 biotechnology bioinformatics?

Biotechnology bioinformatics is a field that combines biology, computer science, and information technology to analyze and interpret biological data, especially large datasets like DNA sequences, protein structures, and gene expression profiles. Professionals in this area develop and apply computational tools to solve problems in biotechnology, such as drug discovery, genetic engineering, and personalized medicine. Their work enables researchers to make sense of complex biological information, accelerating innovation in healthcare, agriculture, and environmental science.

What are the key skills and qualifications needed to thrive as a biotechnology bioinformatics professional?

To thrive as a Biotechnology Bioinformatics professional, you need a solid background in molecular biology, genetics, and computational data analysis, typically supported by a degree in bioinformatics, biotechnology, or a related field. Familiarity with programming languages (such as Python, R), bioinformatics software (like BLAST, Bioconductor), and experience with databases (e.g., GenBank) are commonly required. Strong problem-solving skills, attention to detail, and effective communication help professionals collaborate and interpret complex biological data. These skills are essential for advancing research, developing innovative solutions, and translating biological data into actionable insights.

How do bioinformatics professionals in biotechnology typically collaborate with laboratory scientists?

Bioinformatics professionals in biotechnology often work closely with laboratory scientists to analyze and interpret complex biological data, such as genomic sequences or protein structures. Collaboration usually involves regular meetings to discuss experimental design, data requirements, and results interpretation. Bioinformaticians may assist in developing custom analysis pipelines, troubleshooting issues, and translating computational findings into actionable insights for experimental work. This teamwork is crucial for advancing research projects and ensuring that computational and experimental efforts are well-integrated.

What is the difference between Biotechnology Bioinformatics vs Molecular Biologist?

AspectBiotechnology BioinformaticsMolecular Biologist
Required CredentialsBachelor's or Master's in Bioinformatics, Biotechnology, or related fields; often includes programming skillsBachelor's or Master's in Molecular Biology, Genetics, or related fields; laboratory experience essential
Work EnvironmentLaboratories, research centers, biotech companies; focus on data analysis and computational toolsWet labs, research institutions, hospitals; focus on experimental work and biological assays
Employer & Industry UsageBiotech firms, pharmaceutical companies, research institutionsAcademic labs, healthcare, research institutes

Biotechnology Bioinformatics primarily involves analyzing biological data using computational methods, while Molecular Biologists focus on experimental research in biological systems. Both roles are vital in biotech and research sectors but differ in skills and daily tasks.

What jobs can you get with biotechnology bioinformatics?

Biotechnology bioinformatics graduates can pursue roles such as bioinformatics analyst, computational biologist, research scientist, or data analyst in pharmaceutical, biotech, or research institutions. These positions typically require skills in programming, data analysis, and understanding of biological data, often using tools like R, Python, or specialized software. Job responsibilities include analyzing genomic data, developing algorithms, and supporting drug discovery or personalized medicine efforts.
More about Biotechnology Bioinformatics jobs

What cities are hiring for Biotechnology Bioinformatics jobs?

Cities with the most Biotechnology Bioinformatics job openings:

What are the most commonly searched types of Biotechnology Bioinformatics jobs?

The most popular types of Biotechnology Bioinformatics jobs are:

What states have the most Biotechnology Bioinformatics jobs?

States with the most job openings for Biotechnology Bioinformatics jobs include:

Infographic showing various Biotechnology Bioinformatics job openings in the United States as of August 2026, with employment types broken down into 3% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Adjunct Faculty - Biomedical Data Science & Statistics (MSBT Program)

Morehouse School of Medicine

Atlanta, GA โ€ข On-site

Full-time

Re-posted 20 days ago


Job description

Posting Details
Position Details
About MSM
Morehouse School of Medicine (MSM) is a place of distinction, serving as the nation's leading academic medical center for vulnerable populations. It's also a place for passionate individuals looking to join a dedicated community working today to help prepare tomorrow's leaders.
We exist to:
โ€ข Improve the health and well-being of individuals and communities;
โ€ข Increase the diversity of the health professional and scientific workforce;
โ€ข Address primary health care through programs in education, research and service;
With emphasis on people of color and the under-served urban and rural populations in Georgia, the nation and the world.
At Morehouse School of Medicine, we're leading the creation and advancement of health equity. You will find a fulfilling career at MSM!
Posting Number
ACAD538
Job Title
Adjunct Faculty - Biomedical Data Science & Statistics (MSBT Program)
Position Title
Adjunct Faculty - Biomedical Data Science & Statistics (MSBT Program)
Position Type
Faculty
Number of vacancies
1
Salary
Commensurate with experience
Department
Micro/Biochem/Immun (MBI)
Position Summary
Morehouse School of Medicine is committed to improving health equity and advancing health justice through excellence in education, research, clinical care, and community engagement. The MSBT Program prepares future biotechnology professionals, scientists, and innovators through interdisciplinary, translational, and workforce-focused graduate education.
The Master of Science in Biotechnology - Medical Cannabis Therapeutics (MSBT-MCT) Program at Morehouse School of Medicine invites applications for an Adjunct Faculty position to teach Biomedical Data Science & Statistics (3 credit hours), a core graduate-level course.
This course provides students with a comprehensive introduction to biomedical data science and the practical application of computational, statistical, and data-driven approaches used across biotechnology, bioinformatics, biomedical research, and health informatics. Students gain exposure to modern programming languages, database systems, cloud computing, data visualization, artificial intelligence (AI), machine learning (ML), and data mining techniques relevant to contemporary biotechnology and biomedical innovation.
The successful candidate will demonstrate expertise in biomedical data science, biostatistics, bioinformatics, computational biology, data analytics, AI/ML, or related disciplines, along with a commitment to graduate education and workforce preparation in emerging biomedical technologies.
Course Description
Biomedical Data Science & Statistics (3 Credit Hours) - Core
This course provides a comprehensive overview of key concepts in biomedical data science and the application of common data science techniques used in biotechnology, bioinformatics, and health informatics.
Topics include:
  • Foundations of biomedical and biotechnology data science
  • Applications of data science in biotechnology and healthcare
  • Computer programming languages used in data science, including:
    • R
    • Python
    • SQL
    • Java
    • JSON
    • C++
    • HTML
  • Database management and cloud computing
  • SQL querying and analysis of open-source datasets
  • Data visualization using Python
  • Introduction to data science toolkits and computational workflows
  • Introduction to artificial intelligence and machine learning
  • Data mining and predictive analytics
  • Building and maintaining a professional data science portfolio using GitHub

The course prepares students to understand and apply computational tools and analytical frameworks increasingly essential to biotechnology, biomedical research, precision medicine, and digital health.
Essential Duties and Responsibilities
The Adjunct Faculty member will:
  • Develop and deliver graduate-level instruction for Biomedical Data Science & Statistics
  • Prepare and maintain course materials, including lectures, demonstrations, assignments, coding exercises, and assessments
  • Teach foundational and applied concepts in biomedical data science and biostatistics
  • Introduce students to programming languages and computational tools relevant to biotechnology and biomedical research
  • Facilitate instruction involving:
    • Statistical analysis and interpretation
    • Database design and management
    • SQL querying and data retrieval
    • Cloud-based computing environments
    • Python-based data visualization and analytics
    • AI and machine learning fundamentals
    • Data mining and predictive modeling
    • GitHub and reproducible research practices
  • Integrate real-world datasets and case studies from biotechnology, healthcare, and biomedical research
  • Encourage critical thinking, problem solving, and interdisciplinary collaboration
  • Evaluate student performance and provide timely, constructive feedback
  • Maintain accurate academic records and submit grades according to MSM policies and academic deadlines
  • Collaborate with MSBT leadership to ensure curricular alignment and instructional quality
  • Foster an inclusive, engaging, and supportive learning environment consistent with MSM's mission and educational values

Appointment Terms
This is a part-time Adjunct Faculty appointment for instruction of a 3-credit-hour core course within the MSBT-MCT Program. Teaching modality, appointment duration, and compensation will be determined according to Morehouse School of Medicine policies and programmatic needs.
Minimum Qualifications
Minimum Qualifications
  • Master's degree, PhD, MD, or equivalent advanced degree in Data Science, Biostatistics, Bioinformatics, Computational Biology, Computer Science, Biomedical Informatics, Biotechnology, Health Informatics, or a related field
  • Demonstrated expertise in biomedical data science and computational analysis
  • Experience with programming languages and data science platforms relevant to the course
  • Strong communication and instructional skills

Preferred Qualifications
Preferred Qualifications
  • Prior graduate-level teaching or mentoring experience
  • Professional or research experience involving:
    • Biomedical data analytics
    • Bioinformatics
    • Biostatistics
    • Artificial intelligence and machine learning
    • Biotechnology or healthcare informatics
  • Demonstrated proficiency in:
    • Python
    • R
    • SQL
    • Data visualization platforms
    • GitHub and version control systems
    • Cloud computing or database management systems

  • Experience integrating real-world biomedical datasets into teaching
  • Experience with online, hybrid, or technology-enhanced instruction strongly preferred
  • Familiarity with AI/ML applications in biotechnology, precision medicine, and healthcare analytics preferred

Closing Date
09/29/2026
Open Until Filled
No
Special Instructions to Applicants
Employment in this role may be contingent upon extramural funding and successful performance and may be terminated or reduced in percentage of appointment if such funding is not secured or ceases to be available.
Quick Link
https://careers.msm.edu/postings/24347
EEO Statement Summary
Morehouse School of Medicine is an equal opportunity/equal access/affirmative action employer fully committed to achieving a diverse workforce and complies with all Federal and Georgia State laws, regulations, and executive orders regarding non-discrimination and affirmative action. Morehouse School of Medicine does not discriminate on the basis of race, age, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, or gender identity or expression.
Job Duties