ZipRecruiter

Log In

1

Computational Biologist Jobs in Minnesota (NOW HIRING)

previous pagenext page

Showing results 21-40

All JobsComputational Biologist JobsComputational Biologist Jobs in Minnesota

Computational Biologist information

See Minnesota salary details

$47.5K

$92.1K

$130.8K

How much do computational biologist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for computational biologist in Minnesota is $92,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $114,600.00 per year, depending on experience, location, and employer.

What is a computational biologist?

A computational biologist is a skilled scientist who uses complex computer algorithms to research and analyze biological systems. This highly specialized job entails using computers and advanced data analytics software to research biological topics such as genetic sequencing, cellular growth numbers, and protein sampling. As a computational biologist, your duties are to code computer algorithms and perform bioinformatics research in the lab. You may also work with students by using the data from their bioinformatics research.

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

To thrive as a Computational Biologist, you need a strong background in biology, mathematics, statistics, and computer science, often supported by an advanced degree in a relevant field. Proficiency with programming languages (such as Python or R), bioinformatics tools, and data analysis platforms is essential. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills for this role. These skills are critical for analyzing complex biological data, interpreting results, and collaborating with multidisciplinary teams to advance scientific research.

What are some common interdisciplinary collaborations for a computational biologist, and how do these impact daily work?

Computational Biologists frequently collaborate with laboratory scientists, statisticians, and software engineers to analyze complex biological data. These interdisciplinary interactions mean that communication skills are essential, as you’ll often translate computational findings into actionable insights for experimental teams. Daily responsibilities may include attending joint meetings, discussing data analysis strategies, and integrating feedback from collaborators to refine models. This collaborative environment fosters both scientific discovery and personal growth, offering exposure to diverse perspectives and expertise.
More about Computational Biologist jobs

What are the most commonly searched types of Computational Biologist jobs in Minnesota?

The most popular types of Computational Biologist jobs in Minnesota are:

What are popular job titles related to Computational Biologist jobs in Minnesota?

For Computational Biologist jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Computational Biologist jobs in Minnesota look for?

The top searched job categories for Computational Biologist jobs in Minnesota are:

What cities in Minnesota are hiring for Computational Biologist jobs?

Cities in Minnesota with the most Computational Biologist job openings:

What are popular job titles related to Computational Biologist jobs in MN?

For Computational Biologist jobs in MN, the most frequently searched job titles are:

Computational Biologist jobs near you
Infographic showing various Computational Biologist job openings in Minnesota as of August 2026, with employment types broken down into 71% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $92,053 per year, or $44.3 per hour.

Staff Engineer, Machine Learning Life Sciences

Inari Agriculture, Inc.

North Oaks, MN • On-site

$148.53 - $204.25/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

About the role

Inari is seeking a Staff Machine Learning Engineer to join our AI Team in support of our mission of transforming agriculture through predictive design and advanced gene editing. This role will focus on delivering production‑ready ML pipelines using existing models while also exploring new modeling approaches to advance our ability to drive step‑change trait improvement in crops. As an individual contributor at staff level, you will drive major workstreams with autonomy while collaborating closely with cross‑functional teams of computational biologists, software engineers, and crop scientists.

Responsibilities
  • Build, deploy, and maintain production ML pipelines and infrastructure to serve predictions at scale, including model versioning, monitoring, and lifecycle management.
  • Integrate ML systems with genomic, phenotypic, and biological data platforms using AWS and containerization technologies.
  • Partner with computational and experimental biologists to contextualize heterogeneous biological data and drive research‑critical modeling programs.
  • Train and validate statistical and ML models; prototype new approaches and evaluate feasibility for production deployment.
  • Implement integrations with strategic third‑party tools, foundation models, and AI agents; stay current with ML research to identify applicable methods.
  • Drive major workstreams autonomously while collaborating effectively with teammates and cross‑functional stakeholders.
  • Communicate technical results clearly across disciplines and contribute to technical decisions, code reviews, and engineering standards.
Qualifications
  • Required education and experience: MS or PhD in Computer Science, Engineering, Statistics, Mathematics, Computational Biology, or related field (or BS with equivalent experience); 6+ years of ML engineering experience with an emphasis on production systems.
  • Production ML: Proven ability to deploy, maintain, and monitor ML models and pipelines at scale.
  • Python & frameworks: Advanced scientific Python (NumPy, Pandas, scikit‑learn) and hands‑on experience with PyTorch and/or TensorFlow, including training and deploying neural networks.
  • Cloud & MLOps: Experience with AWS (EC2, S3, SageMaker), containerization (Docker), experiment tracking (MLflow), and workflow orchestration (Airflow or equivalent).
  • Cross‑disciplinary collaboration: Comfortable interfacing with biologists and life scientists, translating between biological and ML framings, and communicating technical results to diverse audiences.
  • Ownership & drive: Track record of owning solutions and deliverables end‑to‑end—setting direction, aligning stakeholders, and seeing work through to impact—while remaining a collaborative and engaged team member.
  • Strongly preferred: Familiarity with biological data types (genomic, transcriptomic, proteomic), common file formats (FASTA, GFF, VCF, BAM), and sequence modeling methods applied to DNA/RNA/protein data; awareness of current research in applying deep learning to biological sequences (e.g., genomic transformers, protein language models); experience with graph neural networks or network analysis tools for modeling complex biological relationships.
Benefits
  • Competitive salary range: $148,530 – 204,250.
  • Compensation includes base, short‑term incentive, and long‑term equity with a one‑time new hire stock option grant.
  • Comprehensive benefits package: PPO and HDHP with company‑funded HSA, vision, dental, flexible spending accounts, voluntary benefits, and a robust wellness program.
  • 401(k) plan with company matching and flexible paid time off.
  • Hybrid work model: weekly split between in‑office and remote work.

Inari is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

#J-18808-Ljbffr

Apply