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Bio Computer Science Jobs (NOW HIRING)

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

Required : • Bachelor's or Master's degree in Computer Science, Machine Learning, Computational ... Manifold Bio is building a protein barcoding platform to bring the power of multiplexed measurement.

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

Required : • Bachelor's or Master's degree in Computer Science, Machine Learning, Computational ... Manifold Bio is building a protein barcoding platform to bring the power of multiplexed measurement.

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

Required : • Bachelor's or Master's degree in Computer Science, Machine Learning, Computational ... Manifold Bio is building a protein barcoding platform to bring the power of multiplexed measurement.

Earli, Inc.

Senior Scientist, Bio AI

Redwood City, CA · On-site

$112K - $153K/yr

... Scientist, Bio AI to join our Synthetic Bioengineering team. Your Primary Responsibilities ... Master's or PhD degree in a relevant field (bioengineering, computer science, data science, etc ...

Bio-Techne

Salesforce Developer

Minneapolis, MN · On-site

$87K - $144K/yr

Bachelor's degree in Computer Science, Software Engineering, MIS, or a related field. * At least 3 ... Why Join Bio-Techne: * We offer competitive insurance benefits starting on day one: medical, dental ...

Triveni Bio

Director, AI and Data Science

Watertown, MA · On-site

$240K - $255K/yr

COMPANY INTRODUCTION Triveni Bio is breaking new ground in the identification of novel disease ... Master's degree or above in Data Science, Computer Science, Bioinformatics, Computational Biology ...

Pivot Bio

Director, Digital Product

Minnetonka, MN · On-site

$158K - $194K/yr

Pivot Bio is pioneering advances in fertilizer technology to improve crop yield. The Director of ... Required : • Bachelor's degree in Business, Engineering, Computer Science, Agronomy, or a related ...

Pivot Bio

Director, Digital Product

Minneapolis, MN · On-site

$161K - $198K/yr

Pivot Bio is pioneering advances in fertilizer technology to improve crop yield. The Director of ... Required : • Bachelor's degree in Business, Engineering, Computer Science, Agronomy, or a related ...

Pivot Bio

Director, Digital Product

Minnetonka, MN · On-site

$237K - $248K/yr

About Pivot Bio: Fueled by an innovative drive and a deep understanding of microbiology, genomics ... Bachelor's degree in Business, Engineering, Computer Science, Agronomy, or a related field * 8+ ...

Pivot Bio

Director, Digital Product

Minnetonka, MN · On-site

$237K - $248K/yr

About Pivot Bio: Fueled by an innovative drive and a deep understanding of microbiology, genomics ... Bachelor's degree in Business, Engineering, Computer Science, Agronomy, or a related field * 8+ ...

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Bio Computer Science information

What is bio computer science?

Bio computer science is an interdisciplinary field that combines biology, computer science, and information technology to analyze and interpret biological data. It involves the use of computational tools and techniques to solve complex biological problems, such as understanding genetic sequences, protein structures, and cellular processes. Professionals in this field develop algorithms, databases, and software to help researchers make sense of large amounts of biological information, which can lead to advancements in medicine, genetics, and biotechnology.

What are the key skills and qualifications needed to thrive as a bio computer scientist, and why are they important?

To thrive as a Bioinformatics Computer Scientist, you need a strong background in computer science, biology, and mathematics, typically supported by a relevant degree such as bioinformatics, computational biology, or computer science. Experience with programming languages (like Python, R, or Java), data analysis tools, and bioinformatics platforms such as BLAST or Bioconductor is essential. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills enable accurate analysis and meaningful insights in biological research, supporting advancements in healthcare and life sciences.

What are some common challenges faced by professionals working in bio computer science, and how can they be addressed?

Professionals in Bio Computer Science often face challenges related to integrating large, complex biological datasets with advanced computational tools. Navigating interdisciplinary communication between biologists and computer scientists can be demanding, as each field has its own terminology and methodologies. To address these challenges, it's helpful to proactively develop strong communication skills, stay current with both biological and computational advancements, and participate in collaborative projects or cross-disciplinary workshops. Building a robust professional network within both domains can also facilitate smoother project workflows and foster innovation.

What is the difference between Bio Computer Science vs Bioinformatics?

AspectBio Computer ScienceBioinformatics
Required CredentialsBachelor's or Master's in Computer Science, Bioinformatics, or related fieldsBachelor's or Master's in Bioinformatics, Biology, or related fields
Work EnvironmentResearch labs, healthcare, biotech companies, academiaResearch labs, healthcare, biotech, pharmaceutical industries
Employer & Industry UsageTech-driven biotech firms, research institutionsHealthcare, biotech, pharmaceutical companies
Common Search & Comparison IntentUnderstanding technical roles combining biology and computingUnderstanding bioinformatics roles focusing on biological data analysis

Bio Computer Science focuses on applying computer science principles to biological problems, often involving software development and data analysis. Bioinformatics emphasizes analyzing biological data, such as genetic sequences, using computational tools. While both fields overlap, Bio Computer Science leans more toward software engineering, whereas Bioinformatics centers on biological data interpretation.

What are the job opportunities for bio computer science?

Bio computer science professionals can find job opportunities in healthcare, biotechnology, pharmaceuticals, and research institutions, working as bioinformatics analysts, computational biologists, data scientists, or software developers. These roles often require skills in programming, data analysis, and understanding of biological systems, with employment available in academic, industry, and government sectors.

What can you do with a bio computer science degree?

A bio computer science degree prepares individuals for roles such as bioinformatics analyst, computational biologist, or research scientist, involving data analysis, algorithm development, and software tools for biological data. Graduates often work in healthcare, research institutions, or biotech companies, utilizing programming skills and knowledge of biology and computer science. Certifications in programming languages or data analysis can enhance job prospects.
More about Bio Computer Science jobs

What states have the most Bio Computer Science jobs?

States with the most job openings for Bio Computer Science jobs include:

What job categories do people searching Bio Computer Science jobs look for?

The top searched job categories for Bio Computer Science jobs are:

Bio Computer Science jobs near you
Infographic showing various Bio Computer Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

AI/ML Research Engineer

Manifold Bio

Boston, MA • On-site

Full-time

Re-posted 16 days ago

Job description

Job Summary:
Manifold Bio is a platform biotechnology company pioneering AI-guided protein design and massively multiplexed in vivo screening. They are seeking a talented AI/ML Research Engineer to implement, scale, and optimize machine learning systems that enhance their protein design capabilities, contributing to the development of production-ready ML infrastructure for breakthroughs in protein therapeutics.
Responsibilities:
• Implement and optimize machine learning models for protein design
• Build and maintain scalable data processing pipelines for large-scale protein and molecular datasets
• Develop and deploy ML infrastructure for distributed training and inference across GPU clusters
• Collaborate with research scientists to translate experimental ML approaches into production-ready code
• Design and execute ML experiments with clear hypotheses and rigorous analysis
• Optimize model performance and computational efficiency for large-scale protein design tasks
• Build tools and utilities to support rapid prototyping and experimentation by the research team
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Machine Learning, Computational Biology, or related field
• 2+ years of hands-on experience with PyTorch and/or JAX for deep learning applications
• Strong proficiency in Python scientific computing stack (NumPy, Pandas, scikit-learn)
• Experience with distributed computing and GPU optimization techniques
• Familiarity with protein structure analysis, computational biology, or analogous problems in natural sciences
• Understanding of modern deep learning architectures and optimization techniques
• Experience implementing research papers or translating ML approaches to production systems
• Proficiency with version control (Git), testing frameworks, and software engineering best practices
• Strong problem-solving skills and ability to work independently on technical challenges
• Excellent written and verbal communication skills for cross-functional collaboration
Preferred:
• Experience training LLMs or diffusion generative models
• Knowledge of cloud computing platforms (AWS, GCP) and containerization (Docker, Kubernetes)
• Background in computational biology, bioinformatics, or structural biology
• Experience with large-scale data engineering and ETL pipelines
• Familiarity with MLOps practices and model deployment frameworks
Company:
Manifold Bio is building a protein barcoding platform to bring the power of multiplexed measurement. Founded in 2020, the company is headquartered in Boston, USA, with a team of 11-50 employees. The company is currently Early Stage.

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