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Agricultural Bioinformatics Jobs (NOW HIRING)

Profluent

Lead Bioinformatics Scientist, NGS

Emeryville, CA · On-site +1

$160K - $230K/yr

... agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed ... In this role, you'll architect core bioinformatics infrastructure, define analytical strategy, and ...

Tamus

Research Specialist

College Station, TX · On-site

$5.4K/mo

... Agriculture-Precision Nutrition Proposed Minimum Salary $5,416.67 monthly Job Location College ... Develops and maintains bioinformatics pipelines for data processing and quality control.

Tamus

Postdoctoral Research Associate

College Station, TX · Hybrid

$4.1K/mo

College of Agriculture and Life Sciences at Texas A&M University * Texas A&M Forest Service * Texas ... Develop reproducible bioinformatic pipelines on Texas A&M HPRC resources; prepare data, figures ...

Tamus

Research Associate

College Station, TX

$3.7K/mo

... Bioinformatics Service (TxGen), a multimillion-dollar research unit within Texas A&M AgriLife Research, has grown over the last 16 years to be one of the leading Agriculture-focused sequencing ...

The Texas A&M University System

Research Assistant

Overton, TX · On-site

$15.75 - $21.75/hr

College of Agriculture and Life Sciences at Texas A&M University * Texas A&M Forest Service * Texas ... and bioinformatic skills to analyze microbiome sequence data. * Assists with supervision of ...

Texas A&M AgriLife

Research Assistant

Overton, TX · On-site

$15.75 - $21.75/hr

College of Agriculture and Life Sciences at Texas A&M University * Texas A&M Forest Service * Texas ... and bioinformatic skills to analyze microbiome sequence data. * Assists with supervision of ...

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Agricultural Bioinformatics information

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$94.5K

$149.5K

How much do agricultural bioinformatics jobs pay per year?

As of Aug 8, 2026, the average yearly pay for agricultural 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 are some typical daily responsibilities in an agricultural bioinformatics role?

In an Agricultural Bioinformatics position, your typical day includes analyzing genomic or phenotypic data from crops or livestock, developing computational models, and interpreting results to support breeding or agricultural research projects. You may also work closely with biologists, breeders, and data scientists to design experiments, troubleshoot data issues, and present findings to multidisciplinary teams. Regular tasks can involve coding, maintaining databases, and staying current with advancements in bioinformatics and agricultural sciences. This collaborative, research-focused environment offers a dynamic mix of in-depth data analysis and teamwork.

What are the key skills and qualifications needed to thrive in an agricultural bioinformatics position?

To thrive in Agricultural Bioinformatics, you need a strong background in bioinformatics, computational biology, and agriculture-related sciences, usually supported by a relevant degree like bioinformatics, genetics, or plant science. Proficiency with data analysis tools such as Python, R, and specific bioinformatics software (e.g., BLAST, GATK), as well as experience working with genomic databases, is essential. Critical thinking, effective communication, and strong problem-solving abilities are valuable soft skills in this field. These skills are important for interpreting complex biological data and translating findings into actionable solutions for agricultural improvement.

What is an agricultural bioinformatics job?

An Agricultural Bioinformatics job involves applying computational tools and data analysis techniques to study biological data related to agriculture. Professionals in this field work with genomic, transcriptomic, and phenotypic data to improve crop yields, enhance disease resistance, and optimize farming practices. They may collaborate with biologists, agronomists, and data scientists to develop models and algorithms that support sustainable agricultural advancements.

What is the role of bioinformatics in agriculture?

Agricultural bioinformatics involves analyzing biological data, such as genomic and proteomic information, to improve crop yields, disease resistance, and sustainable farming practices. Bioinformatics tools and skills are essential for interpreting large datasets and developing genetically improved plants and livestock.
More about Agricultural Bioinformatics jobs
What cities are hiring for Agricultural Bioinformatics jobs? Cities with the most Agricultural Bioinformatics job openings:
What are the most commonly searched types of Agricultural Bioinformatics jobs? The most popular types of Agricultural Bioinformatics jobs are:
What states have the most Agricultural Bioinformatics jobs? States with the most job openings for Agricultural Bioinformatics jobs include:
What job categories do people searching Agricultural Bioinformatics jobs look for? The top searched job categories for Agricultural Bioinformatics jobs are:
Agricultural Bioinformatics jobs near you
Infographic showing various Agricultural Bioinformatics job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Temporary. Highlights an 92% In-person, 5% Hybrid, and 3% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Lead Bioinformatics Scientist, NGS

Profluent

Emeryville, CA • On-site, Remote

$160K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description

Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date.
We're seeking an experienced computational scientist to lead the design, development, and operation of the NGS analysis platform that powers Profluent's gene editing and protein design programs. You'll work at the intersection of computational biology, software engineering, and experimental biology to build scalable systems that extract clear, actionable insights from large-scale sequencing data.
In this role, you'll architect core bioinformatics infrastructure, define analytical strategy, and collaborate closely with experimental and ML teams to accelerate design-build-test-learn cycles. You'll also mentor team members, promote software engineering best practices, and help shape the future of Profluent's computational biology capabilities.
Responsibilities
  • Lead design and implementation of scalable NGS analysis pipelines supporting gene editing and protein engineering workflows
  • Develop clear, intuitive visualizations and reports to communicate sequencing results and biological insights
  • Manage cloud-based compute environments and data systems for large-scale datasets
  • Partner with biology teams to analyze results, troubleshoot, and optimize experimental design
  • Collaborate with machine learning teams to curate data for model training
  • Establish best practices for code review, testing, and CI/CD in computational workflows
  • Mentor junior scientists and foster a culture of rigor, reproducibility, and innovation

Qualifications
  • PhD or MS in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field
  • 5+ years of experience analyzing NGS datasets (e.g., amplicon sequencing, high-throughput editing, or screening experiments)
  • Strong programming skills in Python (pandas, numpy, biopython, etc.)
  • Expertise with workflow orchestration tools (Nextflow, Snakemake) and cloud environments (GCP, AWS)
  • Experience with containerization (Docker, Kubernetes) and scalable compute infrastructure
  • Deep understanding of Linux, git-based version control, and software engineering best practices
  • Proven ability to transform complex sequencing data into actionable biological insights

Preferences
  • Experience with gene editing technologies (CRISPR, base or prime editing; strongly preferred)
  • Familiarity with SQL and data modeling for biological or experimental data
  • Experience with LIMS platforms (e.g., Benchling) and lab data integration
  • Track record of developing production-quality scientific software or open-source bioinformatics tools

What We Offer
  • High-growth opportunity with meaningful impact on the future of protein design
  • Competitive compensation package with equity participation
  • 401(k) with a strong employer match
  • Comprehensive benefits including health/dental/vision insurance
  • Generous PTO policy and commitment to work-life balance
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.
Work Authorization Requirement
Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.
Employment Eligibility Verification
Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.
Hiring Salary Range
$160,000-$230,000 USD

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