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Home Based Biotech Startup Jobs (NOW HIRING)

Senior AI Scientist

Cambridge, MA

$100K - $136K/yr

... funded biotech startup that is developing an AI-driven approach to more personalized cancer ... Familiarity with cloud-based accelerators (GPU/TPU) and modern ML pipelines * Solid software ...

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Regional Sales Manager

Cincinnati, OH · Remote

$40K - $100K/yr

... Biotech Location: Remote / Home office, covering MI, IN, OH, KY, WV, VA, TN Compensation ... Unlike our service-based competitors who harvest tissue by creating wounds to cure wounds or big ...

Role Overview We are a fast-growing biotech startup developing innovative Research Use Only (RUO) products that combine instrumentation and reagent-based assays. We are seeking a Quality Engineer II ...

OR · On-site

Parexel's defined Biotech Division offers opportunities for seasoned Project Management professionals with a strong background running global clinical trials in a variety of therapeutics. This group ...

OR · On-site

$71K - $91K/yr

Parexel's defined Biotech Division offers opportunities for seasoned Project Management professionals with a strong background running global clinical trials in a variety of therapeutics. This group ...

Quality Control Analyst

Boston, MA · On-site

$26 - $35/hr

Spun out of Stanford and MIT, Stellaromics is an innovative biotech startup founded in 2022 and ... Compensation An attractive compensation and benefits package based on market pay data will be ...

OR · On-site

Parexel's defined Biotech Division offers opportunities for seasoned Project Management professionals with a strong background running global clinical trials in a variety of therapeutics. This group ...

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How much do home based biotech startup jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for home based biotech startup in the United States is $21.81, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $23.80 per hour, depending on experience, location, and employer.

What is the difference between Home Based Biotech Startup vs Laboratory Technician?

AspectHome Based Biotech StartupLaboratory Technician
CredentialsBiotech-related degrees or certifications, self-motivationAssociate's or Bachelor's in Life Sciences, technical certifications
Work EnvironmentHome office, remote setup, flexible hoursLaboratory setting, equipment-based, structured hours
Employer & Industry UsageStartups, biotech research, freelance projectsResearch labs, hospitals, biotech companies
Search & Comparison IntentEntrepreneurship, remote biotech workTechnical skills, lab work, employment opportunities

Home Based Biotech Startups typically involve self-directed work in a remote environment, often focusing on entrepreneurial projects or freelance research. Laboratory Technicians work in structured lab settings, performing technical tasks under supervision. While both roles require biotech knowledge, the startup role emphasizes independence and flexibility, whereas the technician role emphasizes hands-on technical skills in a formal lab environment.

More about Home Based Biotech Startup jobs
What cities are hiring for Home Based Biotech Startup jobs? Cities with the most Home Based Biotech Startup job openings:
What are the most commonly searched types of Biotech Startup jobs? The most popular types of Biotech Startup jobs are:
What states have the most Home Based Biotech Startup jobs? States with the most job openings for Home Based Biotech Startup jobs include:
Infographic showing various Home Based Biotech Startup job openings in the United States as of June 2026, with employment types broken down into 68% Full Time, 27% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $45,370 per year, or $21.8 per hour.
Senior AI Scientist

$100K - $136K/yr

Other

Posted 8 days ago


Job description

Senior AI Scientist

Cambridge, MA - 4 days onsite

$200,000 - $220,000 + bonus + equity


THE COMPANY

Harnham is partnering with a well-funded biotech startup that is developing an AI-driven approach to more personalized cancer monitoring—integrating proprietary methods, diverse datasets, and evolving diagnostic capabilities to support ongoing care for individuals with elevated risk. The team brings experience across genomics and health data modeling, applying these foundations toward new screening and recommendation approaches, with a focus on translating research into practical clinical applications.



RESPONSIBILITIES

  • Research Strategy & State of the Art – Stay current with advances in AI, genomics, and oncology, identifying high-impact opportunities and shaping the research roadmap.
  • Model Development – Design, train, and evaluate ML models for biomarker detection, risk stratification, longitudinal monitoring, and decision-support systems for screening and survivorship.
  • Publications & Scientific Communication – Contribute to peer-reviewed publications, conference papers, and technical reports; engage with academic and research communities.
  • Research to Production – Collaborate with engineering teams to bring research into production, including adapting foundation models and integrating multi-modal approaches into clinical workflows.
  • Evaluation & Rigor – Develop robust experimental frameworks and validation protocols to ensure scientific integrity and clinical reliability.
  • Collaboration – Work cross-functionally with clinicians, researchers, product managers, and engineers to align research initiatives with clinical and product priorities.


SKILLS AND EXPERIENCE

  • PhD in machine learning, computational biology, bioinformatics, or a related field
  • Strong publication record in applied AI and/or AI in healthcare or biology
  • Hands-on experience building and evaluating ML models; proficiency in Python and frameworks like PyTorch, JAX, or TensorFlow
  • Familiarity with cloud-based accelerators (GPU/TPU) and modern ML pipelines
  • Solid software engineering practices (version control, testing, code review)
  • Clear scientific communication skills across technical and clinical audiences
  • Experience with biomedical data (e.g., genomics, pathology, EHRs)
  • Track record of translating research into real-world impact
  • Startup or entrepreneurial experience, especially building systems from zero to one


BENEFITS

The compensation package contains a base salary, bonus, equity and a comprehensive benefits package.


HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.


KEY TERMS

Artificial Intelligence | AI | Deep Learning | Machine Learning | ML Scientist | Research | Applied Research | Production | Real Time | Cancer Detection | Statistics | Reinforcement Learning | Foundation Modeling | Foundational Models | Anomaly Detection | Publications | Biotech | Health-tech | Genomics | Oncology | Pathology | EHR | Electronic Health Records | GPU | TPU | Startup