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Software Engineer Biology Jobs in California (NOW HIRING)

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Software Engineer Biology information

What is a software engineer biology?

Software Engineer Biology professionals are specialists who combine software engineering skills with a strong understanding of biological sciences. They develop software tools, algorithms, and data analysis pipelines to help researchers analyze biological data, such as genetic sequences or protein structures. Their work is essential in fields like bioinformatics, computational biology, and biotechnology, where large-scale data processing is needed. By bridging the gap between biology and technology, they support scientific discoveries and the development of new medical treatments.

How do software engineers specializing in biology typically collaborate with biologists and researchers on projects?

Software engineers in biology often work closely with multidisciplinary teams, including biologists, data scientists, and laboratory researchers. They play a crucial role in translating biological questions into computational problems, designing tools, and developing software pipelines that enable efficient data analysis and visualization. Regular meetings, code reviews, and collaborative problem-solving sessions are common, ensuring that technical solutions align with scientific goals. This teamwork not only enhances the quality of research but also provides valuable opportunities for software engineers to deepen their domain knowledge and grow professionally.

What are the key skills and qualifications needed to thrive as a software engineer in biology, and why are they important?

To thrive as a Software Engineer in Biology, you need a solid background in computer science, proficiency in at least one programming language (such as Python or R), and a foundational understanding of biological concepts or bioinformatics. Familiarity with bioinformatics databases, genomic data analysis tools, and version control systems like Git is typically required, along with relevant certifications or coursework. Strong problem-solving abilities, effective communication, and an aptitude for interdisciplinary collaboration help you stand out in this field. These skills are crucial to efficiently develop and maintain software solutions that address complex biological research challenges and foster innovation within life sciences teams.

What is the difference between Software Engineer Biology vs Bioinformatics Software Engineer?

AspectSoftware Engineer BiologyBioinformatics Software Engineer
Required CredentialsBachelor's or Master's in Biology, Computer Science, or related fieldsBachelor's or Master's in Bioinformatics, Computer Science, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, biotech firms, healthcare tech companies
Industry UsageDevelops software for biological research, healthcare applicationsCreates algorithms and tools for biological data analysis
Common Search/ComparisonSoftware Engineer Biology vs Bioinformatics Software Engineer

Both roles involve software development in biological contexts, but Software Engineer Biology focuses on creating applications for biological research and healthcare, while Bioinformatics Software Engineers specialize in analyzing biological data using algorithms and computational tools. The credentials and work environments overlap significantly, making them closely related but distinct career paths.

What are popular job titles related to Software Engineer Biology jobs in California?

For Software Engineer Biology jobs in California, the most frequently searched job titles are:

What job categories do people searching Software Engineer Biology jobs in California look for?

The top searched job categories for Software Engineer Biology jobs in California are:

What cities in California are hiring for Software Engineer Biology jobs?

Cities in California with the most Software Engineer Biology job openings:

Software Engineer Biology jobs near you
Infographic showing various Software Engineer Biology job openings in California as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

US_Software Engineer V

Intelliswift - An LTTS Company

San Francisco, CA • On-site

Full-time

Re-posted 16 days ago

Job description

Job Summary:
Intelliswift - An LTTS Company is seeking a talented engineer to join their new Artificial Intelligence and Machine Learning Department within Research Biology. The successful candidate will support computational efforts for machine learning in antibiotic discovery, collaborating with scientists and developing deep learning methods for chemical property predictions.
Responsibilities:
• You will join the department of AI/Client within Research Biology.
• You will collaborate with scientists working on different areas of machine learning and the life sciences.
• You will closely collaborate with machine learning scientists, computational chemists and bioinformaticians across departments in the organization.
• You will develop and deploy deep learning methods for representation learning of small molecules and prediction of chemical properties.
• The work will also involve software development, infrastructure and hardware optimizations, data pipelining, and innovations to implement robust AI solutions for real world use cases.
Qualifications:
Required:
• MSc or PhD degree in a quantitative field (e.g. Computer Science, Computational Chemistry, Machine Learning, Statistics, Mathematics, Physics)
• Demonstrated experience with deep learning frameworks and models (PyTorch is preferred)
• Proficient in Python
• Demonstrated experience in software development, GPU acceleration, model optimization and scaling for multiple server nodes
• Excellent communication and collaboration skills
• DEEP LEARNING
• ENGINEER
• MACHINE LEARNING
• OPTIMIZATION
• PYTHON
Preferred:
• Industry experience as data scientist or Client engineer in a healthcare company
• Experience in deep learning for graph-based and/or sequence-based data
• Experience in deep learning for small molecules
• SOFTWARE DEVELOPMENT
• CHEMISTRY
• LIFE SCIENCES
• QUANTITATIVE
• STATISTICS
• STRUCTURED SOFTWARE
• USE CASES
Company:
"Intelliswift, an LTTS Company, delivers world-class Digital Product Engineering, Data Management, Analytics & AI, and Digital Ent Solutions It is a sub-organization of L&T Technology Services, Ltd.. Founded in 2001, the company is headquartered in Newark, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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