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Usa Bioinformatics Jobs (NOW HIRING)

1910

AI Research Scientist II

Boston, MA · On-site

... bioinformatics. Responsibilities : • Propose and prototype AI and Machine Learning solutions that ... Founded in 2018, the company is headquartered in Boston, USA, with a team of 11-50 employees. The ...

GDIT

HPC Technical Lead

Silver Spring, MD · Hybrid

$211K - $286K/yr

Support scientific workloads including genomics, bioinformatics, modeling, simulation, statistical ... USA MD Silver Spring Additional Work Locations: Total Rewards at GDIT: Our benefits package for all ...

New

GDIT

Program Manager

Silver Spring, MD

$176K - $239K/yr

Experience supporting regulatory science, bioinformatics, genomics, or laboratory computing ... USA MD Silver Spring Additional Work Locations: Total Rewards at GDIT: Our benefits package for all ...

New

Element Biosciences

Staff Product Owner

San Diego, CA · On-site

... and bioinformatics converge, while collaborating with multiple scrum teams to define and ship ... Founded in 2017, the company is headquartered in San Diego, USA, with a team of 201-500 employees.

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How much do usa bioinformatics jobs pay per year?

As of Aug 12, 2026, the average yearly pay for usa 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 common challenges faced by bioinformaticians working in the USA and how can they be addressed?

Bioinformaticians in the USA often encounter challenges such as managing and analyzing large-scale biological datasets, integrating data from diverse sources, and keeping up with rapidly evolving computational tools. Collaborating closely with both biologists and computer scientists is essential for success, as is staying updated through continuous learning. Many organizations support ongoing education and provide resources for professional development, which helps bioinformaticians overcome these hurdles and grow in their roles.

Is bioinformatics currently in demand?

Bioinformatics is in high demand due to the growth of genomics, personalized medicine, and data-driven research in healthcare and biotech industries. Professionals with skills in programming, data analysis, and biological sciences are sought after, often requiring familiarity with tools like R, Python, and databases. The field offers opportunities in research institutions, pharmaceutical companies, and biotech firms, with steady job growth expected in the coming years.

Is bioinformatics a good career?

Bioinformatics is a growing field with strong demand for professionals skilled in data analysis, programming, and biology. It offers opportunities in research, healthcare, and biotechnology sectors, often requiring knowledge of tools like Python, R, and databases. The career can be rewarding with competitive salaries and advancement potential.

What skills and qualifications are needed to thrive as a bioinformatician in the USA?

To thrive as a Bioinformatician in the USA, you generally need a strong background in biology, statistics, and computer science, often supported by a relevant degree such as bioinformatics, computational biology, or a related field. Familiarity with technical tools like Python, R, Linux, and bioinformatics platforms (e.g., BLAST, Galaxy) as well as experience with NGS data analysis is typically required. Analytical thinking, strong problem-solving abilities, and effective communication skills help bioinformaticians collaborate with multidisciplinary teams and interpret complex data. These skills are crucial for deriving meaningful biological insights from large datasets and supporting advancements in research and healthcare.

What is a USA bioinformatics job?

USA Bioinformatics jobs involve applying computational techniques and statistical analysis to biological data, such as DNA sequences or protein structures. These roles are commonly found in pharmaceutical companies, research institutions, biotech firms, and government agencies across the United States. Professionals in this field typically analyze large datasets to advance scientific understanding, develop new drugs, or improve healthcare outcomes. A background in biology, computer science, and statistics is often required, along with experience in programming and using specialized bioinformatics tools.

How much do bioinformaticians make?

Bioinformaticians in the US typically earn between $70,000 and $120,000 annually, depending on experience, education, and location. Entry-level positions may start around $60,000, while experienced professionals with advanced skills in programming, data analysis, and bioinformatics tools can earn higher salaries.
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Usa Bioinformatics jobs near you
Infographic showing various Usa Bioinformatics job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Data Engineer, Scientific Data Ingestion

Mithrl

San Francisco, CA • On-site

Full-time

Re-posted 18 days ago

Job description

Job Summary:
Mithrl is a pioneering company focused on accelerating the delivery of novel drugs and therapies through AI technology. They are seeking a Data Engineer to build and manage an AI-powered data ingestion and normalization pipeline, ensuring high-quality data is prepared for analysis and integration into their systems.
Responsibilities:
• Build and own an AI-powered ingestion & normalization pipeline to import data from a wide variety of sources — unprocessed Excel/CSV uploads, lab and instrument exports, as well as processed data from internal pipelines.
• Develop robust schema mapping, coercion, and conversion logic (think: units normalization, metadata standardization, variable-name harmonization, vendor-instrument quirks, plate-reader formats, reference-genome or annotation updates, batch-effect correction, etc.).
• Use LLM-driven and classical data-engineering tools to structure “semi-structured” or messy tabular data — extracting metadata, inferring column roles/types, cleaning free-text headers, fixing inconsistencies, and preparing final clean datasets.
• Ensure all transformations that should only happen once (normalization, coercion, batch-correction) execute during ingestion — so downstream analytics / the AI “Co-Scientist” always works with clean, canonical data.
• Build validation, verification, and quality-control layers to catch ambiguous, inconsistent, or corrupt data before it enters the platform.
• Collaborate with product teams, data science / bioinformatics colleagues, and infrastructure engineers to define and enforce data standards, and ensure pipeline outputs integrate cleanly into downstream analysis and storage systems.
Qualifications:
Required:
• 5+ years of experience in data engineering / data wrangling with real-world tabular or semi-structured data.
• Strong fluency in Python, and data processing tools (Pandas, Polars, PyArrow, or similar).
• Excellent experience dealing with messy Excel / CSV / spreadsheet-style data — inconsistent headers, multiple sheets, mixed formats, free-text fields — and normalizing it into clean structures.
• Comfort designing and maintaining robust ETL/ELT pipelines, ideally for scientific or lab-derived data.
• Ability to combine classical data engineering with LLM-powered data normalization / metadata extraction / cleaning.
• Strong desire and ability to own the ingestion & normalization layer end-to-end — from raw upload → final clean dataset — with an eye for maintainability, reproducibility, and scalability.
• Good communication skills; able to collaborate across teams (product, bioinformatics, infra) and translate real-world messy data problems into robust engineering solutions.
Preferred:
• Familiarity with scientific data types and “modalities” (e.g. plate-readers, genomics metadata, time-series, batch-info, instrumentation outputs).
• Experience with workflow orchestration tools (e.g. Nextflow, Prefect, Airflow, Dagster), or building pipeline abstractions.
• Experience with cloud infrastructure and data storage (AWS S3, data lakes/warehouses, database schemas) to support multi-tenant ingestion.
• Past exposure to LLM-based data transformation or cleansing agents — building or integrating tools that clean or structure messy data automatically.
• Any background in computational biology / lab-data / bioinformatics is a bonus — though not required.
Company:
Mithrl is a software development company that builds the custom workflows for NGS data on-demand. Founded in 2023, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Early Stage.

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