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Ml Ai Biotech Jobs (NOW HIRING)

Prudentia Sciences

Senior AI / ML Engineer

Boston, MA · On-site

$113K - $155K/yr

... biotech, and life sciences investors approach portfolio management, due diligence, and value/risk ... ML/AI Engineer We're looking for a driven, hands-on ML/AI Engineer to help us push the boundaries ...

C10 Labs

Founder in Residence

Cambridge, MA · On-site +1

... biotech, and deeptech * Work closely with clinicians, researchers, and industry partners to define real-world problems * Build and iterate on MVPs using AI/ML, data platforms, and scientific tooling

SLR Search

Hybrid Corporate Associate

New York, NY · Hybrid

... AI, Biotech, Web3). Your daily work is defining new legal territory, not managing old corporate ... ML, Digital Health, Fintech), acting as outside general counsel from pre-seed to pre-IPO stage ...

SLR Search

Hybrid Corporate Associate

San Francisco, CA · Hybrid

... AI, Biotech, Web3). Your daily work is defining new legal territory, not managing old corporate ... ML, Digital Health, Fintech), acting as outside general counsel from pre-seed to pre-IPO stage ...

C10 Labs

... healthtech, biotech, and deeptech * Work closely with clinicians, researchers, and industry partners to define real-world problems * Build and iterate on MVPs using AI/ML, data platforms, and ...

Bayesian Health

Director of AI/ML

Director of AI/ML In Brief * We're an early-stage startup on a mission to make healthcare proactive ... We're funded by top tier tech and biotech investors: Andreessen Horowitz, American Medical ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

$140K - $225K/yr

Manifold Bio is a platform biotechnology company pioneering AI-guided protein design and massively ... Your efforts will contribute to building production-ready ML infrastructure that enables ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

Manifold Bio is a platform biotechnology company pioneering AI-guided protein design and massively multiplexed in vivo screening. They are seeking a talented AI/ML Research Engineer to implement ...

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Ml Ai Biotech information

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$37.5K

$122.7K

$196.5K

How much do ml ai biotech jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ml ai biotech in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Ml Ai Biotech vs Data Scientist?

AspectML AI BiotechData Scientist
Required CredentialsDegree in biotech, computer science, or related fields; knowledge of ML/AI toolsDegree in statistics, computer science, or related fields; proficiency in data analysis
Work EnvironmentBiotech labs, research centers, biotech companiesTech firms, research organizations, healthcare analytics
Industry UsageDevelops AI/ML models for biotech applications like drug discoveryAnalyzes data to inform business or research decisions across industries

ML AI Biotech professionals focus on applying machine learning and AI techniques specifically within the biotech industry, often working on drug discovery and genomics. Data Scientists have a broader role across various sectors, analyzing data to extract insights. While both roles require strong analytical skills, ML AI Biotech specialists typically have specialized knowledge in biotech applications and AI tools tailored for biological data.

How do ML/AI biotech professionals typically collaborate with cross-functional teams during a project?

In ML/AI Biotech roles, professionals often work closely with biologists, data scientists, software engineers, and regulatory experts to develop and validate models for biological data analysis. Collaboration usually involves regular project meetings, shared data repositories, and iterative feedback cycles to align technical developments with biological insights and business goals. Effective communication is essential, as team members bring diverse expertise and perspectives, ensuring robust and impactful solutions. This collaborative environment not only enhances project outcomes but also provides valuable learning opportunities across disciplines.

What are the key skills and qualifications needed to thrive as an ML/AI biotech professional, and why are they important?

Success as an ML/AI professional in biotech requires a strong background in computer science, statistics, and biology, often with an advanced degree in a related field. Familiarity with programming languages like Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch), and bioinformatics tools is essential, along with experience in handling large biological datasets. Strong problem-solving abilities, interdisciplinary communication, and adaptability help professionals collaborate effectively with scientists and clinicians. These combined skills enable the development of innovative solutions for complex biological challenges, driving advancements in biotech research and applications.

What is an ML/AI biotech professional?

An ML/AI Biotech professional is someone who applies machine learning (ML) and artificial intelligence (AI) techniques to solve problems in biotechnology. This can involve analyzing biological data, developing algorithms for drug discovery, improving diagnostic tools, and automating laboratory processes. These professionals often work at the intersection of computer science, biology, and data science, collaborating with researchers and clinicians to advance innovations in healthcare, agriculture, and pharmaceuticals. Their work helps accelerate discoveries, improve accuracy, and create new opportunities in the life sciences sector.
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Ml Ai Biotech jobs near you
Infographic showing various Ml Ai Biotech job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior AI / ML Engineer

Prudentia Sciences

Boston, MA • On-site

$113K - $155K/yr

Full-time

Medical, Life

This job post has expired today. Applications are no longer accepted.

Job description

About Prudentia Sciences
Prudentia Sciences is an AI-powered technology platform transforming how biopharma, biotech, and life sciences investors approach portfolio management, due diligence, and value/risk simulation. Our platform accelerates investment in breakthrough therapies by:
  • Empowering biopharma to accelerate drug pipelines, maximize ROI, and achieve clinical and commercial success for greater patient impact
  • Enabling strategic positioning of asset value during portfolio planning and dealmaking
  • Equipping investors with data-driven insights to optimize capital allocation in drug asset transactions

Backed by GV (Google Ventures), Iaso Ventures, and Virtue, we're on a mission to unlock the full potential of pharmaceutical R&D by empowering decision-makers with real-time, data-driven insights.
ML/AI Engineer
We're looking for a driven, hands-on ML/AI Engineer to help us push the boundaries of what's possible in AI-driven drug development. You'll work on production-grade LLM-based systems, knowledge graphs, and machine learning pipelines-turning prototypes into powerful tools that make a real-world impact.
You'll collaborate across teams to design, build, and deploy intelligent systems that enhance how life sciences organizations make critical decisions. If you love working on technically challenging problems with direct impact in healthcare-this is the role for you.
This is a remote-first position, but we'd love it if you're based in or near Boston.
What You'll Do:
  • Design and Deploy LLM Systems: Develop scalable, production-ready LLM applications using frameworks like LangChain/LangGraph. Build robust RAG pipelines and integrate knowledge graphs for biological and clinical data.
  • Full-Stack AI Engineering: Write maintainable, high-performance code and build clean APIs and services for machine learning applications.
  • Data Engineering Collaboration: Work with data engineers to build and optimize data workflows and pipelines for high-quality data ingestion and processing.
  • Product-Focused Prototyping: Collaborate with product and domain teams to rapidly prototype AI solutions, iterate based on feedback, and scale models for production.
  • Model Deployment & MLOps: Use modern MLOps tools to deploy and monitor models in production environments (AWS preferred). Ensure scalability, observability, and resilience.
  • Collaborative Innovation: Partner with engineering, data, and business teams to identify and develop high-value AI/ML applications.
  • Continuous Learning: Stay ahead of the curve on emerging ML frameworks, GenAI capabilities, and healthcare technologies.

What We're Looking For:
Core Qualifications:
  • Education: Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Engineering, or a related field.
  • Hands-on AI Experience: Proven ability to build, train, and deploy ML and NLP models, especially those powered by LLMs and transformer architectures.
  • LLM & LangChain Experience: Practical experience working with frameworks like LangChain for applications such as Q&A systems, chatbots, or document automation.
  • Software Engineering: Strong coding skills in Python and experience using Git/GitHub and CI/CD practices.
  • Data Engineering Know-how: Comfort working with ETL pipelines, relational and non-relational databases, and data platforms like Snowflake or Databricks.
  • Big Data & ML Frameworks: Familiarity with Big Data tools (e.g., Apache Spark) and experience orchestrating data workflows using tools like Apache Airflow.
  • Cloud & MLOps: Experience with deploying ML models in cloud environments (AWS, GCP, or Azure) and using containerization/orchestration tools like Docker and Kubernetes.
Soft Skills:
  • Strong problem-solving skills and an analytical mindset.
  • Passion for continuous learning, rapid prototyping, and iterating based on user needs.
  • Autonomous, self-starter attitude with a strong sense of ownership.
  • Excellent communication skills-able to explain technical ideas clearly to non-technical audiences.
  • Collaborative team player with a desire to build things that truly matter.
Bonus:
  • Experience in healthcare, life sciences, or biopharma sectors (preferred but not required).

Why Join Us?
  • Make a tangible impact on drug development and patient outcomes.
  • Work with a passionate, mission-driven team tackling complex challenges.
  • Enjoy flexibility and autonomy in a remote-first culture.
  • Competitive salary, equity, and benefits.
  • Opportunity to grow with a fast-moving, well-funded startup backed by top-tier investors.

What We Offer
  • Impact: Your work directly enables breakthrough therapies to reach patients faster
  • Ownership: Build and lead the customer success function as a foundational leader
  • Growth: Shape customer experience during a critical scaling phase
  • Compensation: Competitive salary, performance bonus, and equity
  • Team: Collaborative, mission-driven colleagues passionate about transforming biopharma

Location
We are a remote-first company, but looking for team members to be located in the Northeast (Boston, New York, DC, etc.)

Apply