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Lims Net Developer Jobs (NOW HIRING)

BigHat

Machine Learning Scientist

San Mateo, CA · On-site

$150K - $200K/yr

We are seeking a creative, ambitious Machine Learning Scientist or Engineer to advance the ... This makes development of complex, net-gen therapeutics 'trivially parallelizable', at a pace which ...

BigHat

$150K - $200K/yr

We are seeking a creative, ambitious Machine Learning Scientist or Engineer to advance the ... This makes development of complex, net-gen therapeutics 'trivially parallelizable', at a pace which ...

Capgemini

... net-new revenue while expanding Capgemini Engineering's footprint across Engineering, R&D, ... Knowledge of industry-leading platforms and technologies, including PLM, MES, LIMS, QMS, Veeva ...

Capgemini

NY · On-site

... net-new revenue while expanding Capgemini Engineering's footprint across Engineering, R&D, ... Knowledge of industry-leading platforms and technologies, including PLM, MES, LIMS, QMS, Veeva ...

Celanese

Unit Production Coordinator

Parkersburg, WV · On-site

... Engineering Staff. Qualifications: * HS Diploma or equivalent. * Manufacturing experience ... Sample Manager (LIMS) experience. * Training in vocational schools, related on-the-job experience ...

Celanese

Unit Production Coordinator

Washington, WV · On-site

... Engineering Staff. Qualifications: * HS Diploma or equivalent. * Manufacturing experience ... Sample Manager (LIMS) experience. * Training in vocational schools, related on-the-job experience ...

Celanese

... Engineering Staff. Qualifications: To be qualified for this role, the following skill sets are ... Sample Manager (LIMS) experience. * Training in vocational schools, related on-the-job experience ...

Uncountable

Product Marketing Manager

New York, NY · On-site

$168K/yr

You'll work cross-functionally with Sales, RevOps, Customer Success, and Engineering to tell the ... Lead strategy and support execution of net new lead generation programs, as well as lifecycle and ...

Celanese

... Engineering Staff. Qualifications: * HS Diploma or equivalent. * Manufacturing experience ... Sample Manager (LIMS) experience. * Training in vocational schools, related on-the-job experience ...

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As of Sep 10, 2026, the average hourly pay for lims net developer in the United States is $53.73, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $61.30 per hour, depending on experience, location, and employer.

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Infographic showing various Lims Net Developer job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 2% Part Time, and 14% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $111,761 per year, or $53.7 per hour.

Machine Learning Scientist

San Mateo, CA • On-site

BigHat Biosciences
Biotechnology Research and Development • 11 - 50 employees
Learn more about BigHat Biosciencesexternal

$150K - $200K/yr

Full-time

Posted 6 days ago

Job description

Description
The role:  We are seeking a creative, ambitious Machine Learning Scientist or Engineer to advance the state of the art in ML-driven therapeutic antibody design.

At BigHat Biosciences our full-stack antibody drug development platform uses AI/ML to drive every stage from discovery to optimization. Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and deploy the latest models. This makes development of complex, net-gen therapeutics ‘trivially parallelizable’, at a pace which only accelerates as we develop better ML tooling.

You’re not interested in just git-cloning the latest NeurIPS pub and swapping out the dataset. Motivated by an enthusiasm for the possibility of addressing unmet patient need, and a curiosity about the underlying biology, you’ll apply your top-tier ML skillset to refine and expand this state of the art protein engineering platform. Success will mean not only hands-on methods development, but actively participating in the application of our platform to the accelerated design of new drugs for devastating diseases.


Key Responsibilities
  • Design and implement the next state-of-the-art generative models of antibody sequence and structure, and predictive models of antibody properties, trained on proprietary internal datasets of thousands to millions of antibodies.
  • Develop multi-modality, multi-objective iterative protein sequence optimization approaches to lab-in-the-loop antibody design problems for validation and deployment in our high-throughput wet lab - at BigHat success is only declared upon synthesis of real antibodies with drug-like properties.
  • Develop, refine, and deploy agentic and LLM-driven optimization methods to further automate and accelerate our design-build-test loop.
  • Provide ML expertise and support for ongoing therapeutics programs, directly contributing to the development of new drugs.
  • Collaborate with our engineering team to ensure maximal efficiency in the automated deployment of our latest models and methods.
  • Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc. - every therapeutics program at BigHat is heavily interdisciplinary.

Skills Knowledge and Expertise
  • PhD in ML/CS/EE or relevant scientific discipline, hands on experience developing and applying novel ML methods and a strong quantitative background.
  • Strong competency in Python, familiarity with PyTorch (even without LLMs!) and experience with modern software engineering best practices, including not just agentic/LLM-assisted coding but testing, CI/CD, etc.
  • Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams.
  • Energy and ambition - ready to dive into a fast-paced environment and execute across multiple projects.
  • Familiarity with the current state-of-the-art in ML-driven protein engineering
  • Nice-to-haves include experience with de novo design, NGS data, Bayesian optimization, familiarity with antibody biology and drug development, experience training and deploying models on AWS, and publications at major ML conferences.

Total Rewards
The salary estimated for this position is $150,000 - $200,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.