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Phd In Biotechnology Jobs (NOW HIRING)

Manifold Bio

AI/ML Scientist

Boston, MA · On-site

... PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or related field • 5+ years of industry experience in machine learning research, preferably in biotechnology or ...

Manifold Bio

AI/ML Scientist

Boston, MA · On-site

... PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or related field • 5+ years of industry experience in machine learning research, preferably in biotechnology or ...

Manifold Bio

AI/ML Scientist

San Francisco, CA · On-site

... PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or related field • 5+ years of industry experience in machine learning research, preferably in biotechnology or ...

Manifold Bio

AI/ML Scientist

San Francisco, CA · On-site

... PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or related field • 5+ years of industry experience in machine learning research, preferably in biotechnology or ...

Thermo Fisher Scientific

Director, MSAT

Saint Louis, MO · On-site

PhD in Biotechnology, Chemical or Pharmaceutical Engineering, or related field, with minimum of 8 years of relevant experience; or * M.S./M.A. in Biotechnology, Chemical or Pharmaceutical Engineering ...

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How much do phd in biotechnology jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for phd in biotechnology in the United States is $29.44, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $32.93 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD in Biotechnology, and why are they important?

To thrive as a PhD in Biotechnology, you need advanced knowledge in molecular biology, genetics, and bioengineering, supported by a doctoral degree in biotechnology or a related field. Proficiency with laboratory techniques, data analysis software, and research methodologies, as well as familiarity with tools like CRISPR and next-generation sequencing, is essential. Strong critical thinking, problem-solving abilities, and effective communication skills help you lead research projects and collaborate across multidisciplinary teams. These skills and qualities are crucial for driving innovation, ensuring research quality, and translating findings into real-world applications.

What is the salary of a PhD in Biotechnology?

A PhD in Biotechnology typically earns between $70,000 and $120,000 annually, depending on experience, location, and industry sector. Salaries are higher in research-intensive roles, biotech companies, and regions with a strong biotech presence, and advanced skills or postdoctoral experience can also influence compensation.

Is a PhD in Biotechnology worth it?

A PhD in Biotechnology can lead to advanced research, academic positions, and roles in biotech companies, often requiring strong laboratory skills and knowledge of molecular techniques. While it offers high-level expertise, it typically involves several years of study and research, and job prospects depend on industry demand and individual specialization.

What types of career advancement opportunities can I expect after completing a PhD in Biotechnology?

After earning a PhD in Biotechnology, you can pursue various advancement paths depending on your interests and expertise. Many graduates transition into senior research roles in academia or industry, often leading research teams or projects. Others move into specialized areas such as regulatory affairs, intellectual property, or business development within biotech companies. Teaching positions at universities or roles in government agencies and policy organizations are also common. Networking, publishing research, and gaining experience in interdisciplinary projects can further enhance your advancement prospects.

Will biotech do well in 2026?

The biotechnology field, including roles for PhDs, is expected to continue growing due to advances in personalized medicine, gene editing, and biopharmaceuticals. Job prospects will depend on industry funding, regulatory developments, and technological innovations, making it a promising area for skilled researchers in 2026.

What is a PhD in Biotechnology?

A PhD in Biotechnology is a doctoral-level degree focused on advanced research in the application of biological systems and organisms to develop products and processes for various industries. Students in this program engage in original research, often in areas like genetics, molecular biology, pharmaceuticals, and environmental biotechnology. The program typically involves coursework, laboratory work, and the completion of a dissertation. Graduates are prepared for careers in academia, research institutions, biotechnology companies, and regulatory agencies. Earning a PhD in this field demonstrates expertise and the ability to contribute to scientific innovation.

What is the difference between Phd In Biotechnology vs Biotech Research Scientist?

AspectPhd In BiotechnologyBiotech Research Scientist
Required CredentialsDoctorate in Biotechnology or related fieldTypically a Master's or PhD in Biotechnology or related field
Work EnvironmentAcademic, research institutions, or industry R&D labsIndustry laboratories, biotech companies, research institutions
Employer & Industry UsageUniversities, research institutes, biotech firmsBiotech and pharmaceutical companies, research organizations
Common Search & Comparison IntentUnderstanding academic vs industry roles in biotechCareer paths and qualifications in biotech research

While a Phd In Biotechnology is a research-focused degree preparing individuals for academic or advanced industry roles, a Biotech Research Scientist is a professional role within biotech companies or labs. Both require strong research skills, but the PhD emphasizes academic research, whereas the Research Scientist applies those skills in industry settings.

What are the big 4 in biotech?

The big 4 in biotech typically refer to the leading sectors: biopharmaceuticals, agricultural biotech, industrial biotech, and diagnostics. These areas drive innovation, research, and development within the industry, often requiring specialized skills and knowledge of laboratory techniques, regulatory processes, and biotech tools.
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Phd In Biotechnology jobs near you
Infographic showing various Phd In Biotechnology job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $61,245 per year, or $29.4 per hour.
AI/ML Scientist

AI/ML Scientist

Manifold Bio

Boston, MA • On-site

Full-time

Posted yesterday

Job description

Job Summary:
Manifold Bio is a platform biotechnology company pioneering AI-guided protein design and massively multiplexed in vivo screening. They are seeking a Machine Learning Scientist to lead research initiatives and drive innovation in protein design methodologies, while contributing to publications and representing the company in the broader research community.
Responsibilities:
• Lead independent research projects exploring novel AI/ML approaches for protein design and optimization
• Investigate and integrate novel data types to enhance our binder design capabilities and therapeutic development
• Develop and validate cutting-edge machine learning methodologies for molecular engineering applications
• Mentor and guide junior scientists and engineers in advanced ML techniques and research methodologies
• Drive strategic research planning and identify promising new directions for AI-driven drug discovery
• Lead cross-functional teams to translate research breakthroughs into therapeutic applications
• Provide scientific expertise for business development opportunities and strategic partnerships
Qualifications:
Required:
• PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or related field
• 5+ years of industry experience in machine learning research, preferably in biotechnology or pharmaceutical settings
• Expert-level proficiency in PyTorch and/or JAX with extensive experience in novel architecture development
• Deep expertise in protein structure analysis, molecular dynamics, computational biology, or structural bioinformatics
• Extensive knowledge of modern AI advances in protein analysis, design, and optimization
• Advanced understanding of deep learning architectures, particularly transformers for molecular applications, as well as generative modeling approaches (autoregressive, diffusion, flow-matching, etc.)
• Proven experience leading research teams and mentoring junior scientists
• Strong background in statistical analysis, experimental design, and rigorous scientific methodology
• Experience with distributed computing, high-performance computing, and large-scale ML system design
• Outstanding written and verbal communication skills with experience presenting to scientific and business audiences
• Demonstrated ability to translate research innovations into practical applications
Preferred:
• Previous experience in biotech/pharma industry with focus on AI-driven drug discovery
• Knowledge of protein engineering, directed evolution, or structural biology wet lab techniques
• Experience with large-scale data engineering, cloud platforms, and production ML systems
• Demonstrated track record of published research in top-tier ML, computational biology, or protein design journals
• Track record of successful grant funding and research proposal writing
• Experience with regulatory considerations for AI applications in therapeutic development
• Strong network within the computational biology and protein design research communities
• Demonstrated leadership in cross-functional scientific teams
• Experience with intellectual property development and patent applications
Company:
Manifold Bio is building a protein barcoding platform to bring the power of multiplexed measurement. Founded in 2020, the company is headquartered in Boston, USA, with a team of 11-50 employees. The company is currently Early Stage.

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