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Ml Ai Biotech Jobs (NOW HIRING)

C10 Labs

Founder in Residence

Cambridge, MA

... 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

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 ...

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 ...

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 ...

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 ...

GlaxoSmithKline

Applied AI Engineer

Cambridge, MA · On-site

We directly support business units with AI/ML-related challenges, acting as ambassadors for ... Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical ...

GSK

Applied AI Engineer

Upper Providence, PA · On-site

We directly support business units with AI/ML-related challenges, acting as ambassadors for ... Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical ...

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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 Sep 2, 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 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.

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 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.

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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 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Contract Role - Engineer, ML & AI (Scientific focused) - San Diego, CA

Mirador Therapeutics, Inc.

San Diego, CA • On-site

$110K - $145K/yr

Full-time

Posted 15 days ago

Job description

Summary

We are seeking an experienced Contractor who will work within the Machine Learning (ML) & AI team, part of our Precision Medicine group. This person will focus on developing and applying AI/ML tools (including the use of large language models and development of AI agents) and creating scalable solutions to drive new insights and therapeutic hypotheses, and support our growing needs in accordance with overall project goals that will impact precision medicine and drug discovery.

Responsibilities

  • Work with the ML/AI team to develop, optimize, and maintain scalable AI/ML tools and pipelines for large-scale data analysis, deployment, and monitoring. 
  • Work with the ML/AI team to develop, optimize, and maintain agents, applications, and workflows based on LLMs for improving productivity and enabling research workflows.
  • Work cross-functionally to streamline data selection, integration, storage, and application for training and running AI/ML tools. 
  • Work cross-functionally to identify and provide for downstream analysis and visualization needs. 
  • Contribute to organization-wide decisions on data formats, cloud infrastructure for computing and storage, and other components of our technology stack. 
  • Communicate with audiences at various technical and scientific levels. 

Experience and Qualifications

  • Bachelor's, Master's or PhD degree in Computer Science, Electrical Engineering, Biomedical Engineering, Mathematics, Physics, or related technical fields. 
  • 4 years or more of AI/ML experience required.
  • 2 years or more of relevant biotech and/or pharmaceutical industry experience required.
  • Experience in developing, deploying, and maintaining AI/ML tools and pipelines at scale. 
  • Experience analyzing high-dimensional molecular data, such as genetics, transcriptomics, and proteomics.
  • Experience with common bioinformatics tools, data types, and analyses. 
  • Experience with R and Python with emphasis on AI/ML libraries (PyTorch, scikit-learn, etc). 
  • Experienced with production coding standards, automated testing, and other engineering best practices. 
  • Experience with cloud compute and storage platforms. 

Additional preferred qualifications 

  • Experience with containerization tools. 
  • Experience with data platforms such as RedShift, Snowflake, and Databricks, and data pipelining.
  • Familiarity with CI/CD practices in ML lifecycle. 

Skills and Abilities

  • Demonstrated ability to contribute to and help advance multi-disciplinary team projects.
  • Track record of excellent interpersonal and communication skills, including providing concise summaries of complex data to empower decision-making.
  • Strong work ethic and are proactive in providing solutions to foster scientific collaborations and drive projects forward.
  • Ability to work in a highly interactive environment with a diverse team of colleagues.

The expected pay range for this position is $110,000 - $145,000 annualized equivalence. Actual pay will be determined by several factors such as job-related skills, experience and relevant education or training. This range may be modified in the future.

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