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Msc Biotechnology Jobs (NOW HIRING)

Genedata

Scientific Account Manager

Boston, MA · On-site

$85K - $105K/yr

PhD or MSc. in molecular biology, bioinformatics, or similar discipline * 1+ years related business experience working in a biopharma, industrial biotech, agribusiness or related life sciences ...

Absci

Senior Clinical Trial Manager

Vancouver, WA · On-site

$145K - $165K/yr

About Absci Absci is a clinical-stage biotechnology company advancing novel therapeutics using ... Advanced degree (MSc., Ph.D., PharmD, MD) in life sciences, pharmacology, or related field is ...

ALK-Abelló, A/S

WI · On-site

Education Advanced degree in life sciences (PhD, MD, PharmD, MSc) required. Experience Prior MSL/Medical Affairs experience in pharma/biotech strongly preferred; experience engaging with ...

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Msc Biotechnology information

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$15

$27

$42

How much do msc biotechnology jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for msc biotechnology in the United States is $27.85, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $32.69 per hour, depending on experience, location, and employer.

What is the difference between Msc Biotechnology vs BSc Biotechnology?

AspectMsc BiotechnologyBSc Biotechnology
QualificationsMaster's degree in BiotechnologyBachelor's degree in Biotechnology
Work EnvironmentResearch labs, advanced R&D, specialized rolesEntry-level positions, basic laboratory work
Industry UsageResearch institutions, biotech companies, academiaBiotech firms, manufacturing, entry-level research

In summary, an Msc Biotechnology provides advanced knowledge and skills, enabling roles in research and development, whereas a BSc Biotechnology prepares individuals for entry-level positions in the biotech industry. The master's degree often opens doors to more specialized and higher-responsibility roles.

What are Msc Biotechnology graduates?

MSc Biotechnology graduates are individuals who have completed a Master of Science degree in Biotechnology, a multidisciplinary field that combines biology, chemistry, and technology to develop products and processes for sectors such as healthcare, agriculture, and environmental management. These graduates possess advanced knowledge in molecular biology, genetics, biochemistry, and related areas, enabling them to work in research, product development, quality assurance, and other roles within biotech companies, pharmaceuticals, and research institutions. Their training prepares them for careers in both industry and academia, often involving laboratory work, data analysis, and collaboration on innovative projects.

Which job is best after an MSC in biotechnology?

After an MSC in biotechnology, common career options include roles such as research scientist, biotechnologist, quality control analyst, or clinical research associate. These positions often require laboratory skills, knowledge of molecular biology, and familiarity with regulatory standards, and they are available in pharmaceutical, healthcare, and research industries.

What are the typical career advancement opportunities for professionals with an MSc in Biotechnology?

Professionals with an MSc in Biotechnology can pursue a variety of advancement opportunities, ranging from moving into senior research or project management roles to transitioning into specialized areas such as regulatory affairs, quality assurance, or business development. Many also choose to further their expertise by pursuing a PhD or additional certifications, which can open doors to leadership positions, academia, or high-level roles in biotech companies. Networking, continuous learning, and gaining hands-on experience through diverse projects are key factors in progressing within the field.

Is a master's in biotech worth it?

A master's in biotechnology can enhance job prospects for roles such as research scientist, lab technician, or quality control analyst by providing specialized knowledge and technical skills. It often leads to higher salaries and opportunities in research, development, and regulatory environments, especially when combined with practical experience and relevant certifications.

What biology jobs pay over $100k?

Biotechnology professionals with advanced degrees such as MSc in Biotechnology can pursue roles like biopharmaceutical project managers, clinical research directors, or regulatory affairs managers that often pay over $100,000 annually. These positions typically require strong knowledge of molecular biology, regulatory standards, and project management skills, often in a corporate or research setting.

What are the key skills and qualifications needed to thrive as an MSc Biotechnology professional, and why are they important?

To thrive as an MSc Biotechnology professional, you need a solid understanding of molecular biology, genetics, and bioprocess engineering, typically supported by a master's degree in biotechnology or a related field. Familiarity with laboratory techniques (such as PCR, electrophoresis, and cell culture), bioinformatics tools, and compliance with safety regulations is essential. Strong problem-solving, analytical thinking, and effective communication skills help you excel in research and collaborative environments. These competencies enable professionals to drive innovation, ensure experimental accuracy, and contribute meaningfully to advancements in biotechnology.
More about Msc Biotechnology jobs
What cities are hiring for Msc Biotechnology jobs? Cities with the most Msc Biotechnology job openings:
What states have the most Msc Biotechnology jobs? States with the most job openings for Msc Biotechnology jobs include:
What job categories do people searching Msc Biotechnology jobs look for? The top searched job categories for Msc Biotechnology jobs are:
Msc Biotechnology jobs near you
Infographic showing various Msc Biotechnology job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $57,922 per year, or $27.8 per hour.

Forward Deployed AI Engineer

Latent Labs

San Francisco, CA • On-site

Full-time

Medical, Retirement

Posted 23 days ago

Job description

Forward Deployed AI Engineer
The opportunity
We are looking for a Forward Deployed AI Engineer to serve as the critical bridge between Latent Labs' frontier generative models and the customers who rely on them. You will work directly with pharmaceutical and biotech customers to deploy, integrate and optimise our technology within their scientific workflows. This is a highly technical, customer-facing role that combines deep infrastructure expertise with a passion for solving real-world problems in drug discovery and protein engineering.
You will work closely with our customers, understanding their unique technical environments and ensuring that our generative biology platform integrates seamlessly with their systems. You will own the full lifecycle of customer deployments - from initial technical scoping through to production-grade delivery - and act as the voice of the customer back into our product and research teams.
Who we are
At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.
Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.
We're looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.
Who you are
  • You have a strong CS or ML educational background. You hold a degree (BSc, MSc or PhD) in Computer Science, Machine Learning, or a closely related quantitative field. You have a solid grounding in software engineering principles and modern ML frameworks.
  • You have built systems that access large models via APIs. You have significant experience designing, deploying and maintaining infrastructure for large-scale model serving and have hands-on experience building robust API layers around ML models.
  • You are customer-facing and delivery-oriented. You have direct experience deploying AI systems for external customers. You can translate complex technical concepts into clear language for non-technical stakeholders and thrive in environments where customer success is the primary measure of your work.
  • You are fluent in cloud infrastructure. You have hands-on experience with AWS and ideally other major cloud platforms (GCP, Azure). You are comfortable with containerisation (Docker, Kubernetes), CI/CD pipelines, and cloud-native architectures.
  • You are a strong communicator and collaborator. You work effectively across functions - with research scientists and business executives alike. You are comfortable leading technical discussions, writing clear documentation, and presenting solutions to senior stakeholders at partner organisations.
  • You are mission driven and adaptable. You are passionate about making a positive impact on the world, whether it's for patients, customers or beyond. You thrive in a dynamic, fast-paced environment where priorities can shift and you need to context-switch between multiple customer engagements.
What sets you apart
  • You have experience with bio or protein design models. You have worked on ML-driven projects in computational biology, protein design, or related life science domains. You understand the unique data challenges and evaluation paradigms of biological modelling.
  • You have contributed to generative modelling innovation. You have a track record of novel contributions to generative modelling - whether through publications, open-source work, or impactful product features.
  • You have built production enterprise software. You have experience delivering software that meets enterprise-grade requirements for security, compliance, auditability and uptime. You understand the difference between a prototype and a production system.
  • You have pharma or biotech industry experience. You understand the regulatory landscape, data governance requirements and scientific workflows common in pharmaceutical and biotech organisations.
Your responsibilities
Customer deployment & integration:
  • Drive the end-to-end technical deployment of Latent Labs models into customer environments, ensuring seamless integration with existing scientific and IT infrastructure.
  • Design and build production-grade API integrations, data pipelines and model-serving infrastructure tailored to each customer's requirements.
  • Work on-site or embedded with pharma and biotech partners to scope technical requirements, troubleshoot issues and deliver solutions.
  • Ensure deployments meet enterprise standards for security, performance and reliability.

Customer advocacy & product feedback:
  • Serve as the technical point of contact for assigned customers, building trusted relationships with their scientific and engineering teams, including spending time working on-site at international partner locations as needed
  • Gather and synthesise customer feedback, translating it into actionable insights for our product, research and platform teams.
  • Collaborate with internal teams to shape the product roadmap based on real-world deployment learnings.
  • Create technical documentation, integration guides and best-practice resources for customers.

Self development:
  • Stay on top of the latest developments in ML infrastructure, model serving and cloud-native tooling.
  • Gain a strong working understanding of protein and cell biology as it relates to our product.
  • Participate in knowledge sharing, e.g. organise and present at our internal reading group.
Apply
We offer strongly competitive compensation and benefits packages, including:
  • Private health insurance
  • Pension contributions
  • Generous leave policies (including gender neutral parental leave)
  • Hybrid working
  • Travel opportunities and more

We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.
We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

Apply