The Best Biotechnology Jobs
Tracked at 10k top companies
Explore a handpicked list of biotech jobs hiring in 2025. Simplify has handpicked opportunities covering data science, software engineering, bioinformatics, machine learning, and biostatistics at top health tech startups, mission-driven biotech companies, and global pharmaceutical firms.
You'll find jobs for entry-level graduates (2024 and 2025), mid-level professionals, and experienced engineers. Whether you're a biotechnology major, a Python or R programmer, a data scientist working on genomics, or a software engineer building tools for AI in healthcare, this list includes remote, hybrid, and in-person jobs in biotech hubs like San Francisco, Boston, New York, and San Diego.
Search across biotechnology vacancies at companies ranging from VC-backed startups (including Sequoia and a16z portfolio companies) to public health tech firms and Series A-C therapeutics startups. These are high-impact roles that combine engineering, analytics, and biology, designed for those passionate about transforming healthcare through technology.








- yesterday
PfizerExpertDirector – Global Metadata Lead$162.9k - $271.5kPhoenixville, PA$162.9k - $271.5kyesterday - yesterday
PfizerExpertDirector – Global Metadata Lead$162.9k - $271.5kPhoenixville, PA$162.9k - $271.5kyesterday - 3d
H1Mid LevelFull-Stack Software EngineerUnited States---3d - yesterday
IlluminaMid LevelIT Architect - SAP Finance$155.6k - $233.4kSan Diego, CA$155.6k - $233.4kyesterday - 4d
SanofiEntry LevelMSAT Data Engineer TraineeUnited States---4d - 7d
Regeneron PharmaceuticalsExpertGxP Enterprise Architecture Director$192.9k - $321.1kUnited States$192.9k - $321.1k7d - 4d
NateraExpertVice President of Product Engineering - Genetics Portfolio$281.2k - $351.5kUnited States$281.2k - $351.5k4d - 4d
Myriad GeneticsSeniorSenior Manager Clinical Interfaces & EMR$141.3k - $176.6kUnited States$141.3k - $176.6k4d - 4d
H1SeniorSenior Forward Deployed Software EngineerUnited States---4d - 4d
Myriad GeneticsSeniorSoftware Engineer 3 - Clinical Platforms$106.1k - $132.6kUnited States$106.1k - $132.6k4d - 4d
Sargent & LundyExpertCommissioning Manager - Construction Management$142.7k - $215.4kUnited States$142.7k - $215.4k4d - yesterday
Telix PharmaceuticalsExpertDirector – Commercial Product QualityUnited States---yesterday - 1mo
GenScriptSeniorSenior Java Engineer$140k - $170kUnited States$140k - $170k1mo - 3mo
Sargent & LundyExpertEHV Transmission Line Engineering Consultant 2 - Grid$142.7k - $215.4kUnited States$142.7k - $215.4k3mo - 2mo
GCIEntry LevelData Analytics Engineer 1$67.7k - $112.8kUnited States$67.7k - $112.8k2mo
Explore our FAQ section to learn more.
Learn just enough domain context to build useful tools. Start with basic genomics (e.g. what is FASTQ, CRISPR, or RNA-seq). Explore public bio datasets (like TCGA or UniProt) and try building tools around them. Biotech companies want engineers who can work with scientists, even if they’re not scientists themselves.
Python dominates, especially with libraries like Pandas, NumPy, Biopython, and scikit-learn. For backend roles, Flask, FastAPI, and PostgreSQL are common. Data engineers might use dbt or Snowflake. Some teams use R, especially in bioinformatics-heavy roles. Experience with AWS or Nextflow is a bonus in computational biology roles.
Biotech engineering teams often support research, not products. That means less focus on scale and more on flexibility, reproducibility, and scientific data pipelines. You might be writing data cleaning scripts one week and debugging cloud pipelines the next. Expect blurry specs and close collaboration with scientists.
No, but you’ll need to show strong modeling skills and the ability to pick up biological context. Many teams hire generalist data scientists who can wrangle experimental data and communicate findings clearly. If you’ve worked with noisy, time-series, or high-dimensional data, that’s a strong signal, even if it wasn’t in a biology setting.
Ask who the end users of your work will be (scientists, patients, internal ops?), how engineering collaborates with wet lab teams, and what kind of data infrastructure already exists. If it’s a research-heavy company, ask how software is prioritized, some teams treat engineers as support rather than partners.
Contribute to open bioinformatics tools, take a free course like MIT’s intro to computational biology, or read biotech engineering blogs (like Benchling or Recursion). Mention specific companies or technologies you’re interested in (like CRISPR, RNA therapeutics, or spatial transcriptomics) in your cover email, it helps hiring managers take your pivot seriously.

