Self-driving Lab Scientist
Noah's Farm · Singapore, Singapore
N/A
Posted Nov 13, 2026
Job Description
Job description
Open roles across AI research, scientific engineering and flavor science. If none of them is yours, the talent pool is one tab away.
### Join us in designing the next experiment---connecting AI with the laboratory to advance flavor discovery.
### About Noah's Farm
Noah's Farm is an AI-driven flavor discovery and molecular design company headquartered in Singapore, with operations in Korea and the United States. We combine machine learning, computational chemistry, biology, analytical science, and sensory research to develop flavor formulations and discover new flavor molecules.
We have **raised $2.8 million in pre-seed funding and secured commitments for $10 million in seed funding.** This funding supports the advancement of our core technology, expansion of our experimental infrastructure, and growth of our research team.
We have also **successfully translated AI-designed flavor formulas into physical formulations and identified new candidate molecules** , establishing a technical foundation that connects computational design with laboratory experimentation. We are now building on these achievements to create a reproducible and scalable R\&D process.
**Self-driving laboratories are a key part of this next stage.** By experimentally validating AI-proposed formulations and candidate molecules---and feeding the results back into subsequent experiment design---we aim to accelerate discovery and validation. This role will build the systems that turn AI predictions into reliable experimental results.
### **Job Description**
The Self-driving Lab Researcher will design, build, and validate experimental systems that **connect AI-driven experiment selection, automated laboratory execution, and data analysis in a closed loop.**
This is a hands-on research and engineering role focused on translating chemistry, flavor formulation, analytical, and biological protocols into reproducible, machine-executable workflows. Working closely with scientists and engineers, you will develop systems spanning sample preparation, instrument control, result evaluation, and selection of the next experiment.
Beyond automating repetitive tasks, you will help determine **which experiments to run, how much confidence to place in their results, and what to investigate next.**
### **Key Responsibilities**
**Automate experimental protocols and integrate laboratory instruments**
Translate flavor formulation, sample preparation, liquid handling, dilution, mixing, and analytical procedures into automated workflows.
Use Python and instrument interfaces to connect liquid handlers, analytical instruments, and sensors.
**Build AI-driven closed-loop experimental systems**
Establish workflows that connect candidate selection → experimental execution → measurement and analysis → selection of the next experiment.
Collaborate with AI and data-engineering teams to translate model recommendations into experiments and feed experimental results back into model development.
**Design experiments and optimize conditions**
Apply design of experiments, Bayesian optimization, or active learning to prioritize formulation conditions, assay parameters, and candidate molecules.
Maximize information gained under practical constraints, including cost, sample volume, ingredient availability, and laboratory capacity.
**Validate experimental quality and troubleshoot failures**
Benchmark automated procedures against manual reference methods and verify accuracy, precision, reproducibility, and fit-for-purpose quality criteria.
Investigate pipetting errors, solubility issues, contamination, and instrument or communication failures, and establish safe shutdown and recovery procedures.
**Manage experimental data and standardize operations**
Maintain sample and batch histories, experimental conditions, protocol versions, and execution logs to ensure traceability.
Document validated workflows, software, and maintenance procedures so that the team can operate and improve the systems reliably.
### **Requirements**
M.S., Ph.D., or equivalent industry experience in chemistry, chemical engineering, bioengineering, robotics, mechatronics, computer science, or a related field
Hands-on experience developing or operating laboratory automation, robotic experimentation, high-throughput screening, or integrated instrument-control workflows
Demonstrated ability to translate experimental protocols into automated procedures and validate the quality of their outputs
**Strong Python programming skills** and experience integrating instruments through APIs, SDKs, drivers, or serial/network interfaces
Working knowledge of experimental design, statistical analysis, calibration, controls, and reproducibility in chemistry, formulation, analytical, or biological experiments
Ability to systematically investigate experimental problems and software or hardware failures to identify root causes
Ability to build reproducible software and data workflows using Git, documentation, structured data, and appropriate testing practices
Strong collaboration and communication skills across experimental science, machine learning, and hardware or software engineering
### **Preferred Qualifications**
**Autonomous experimentation and optimization:** Experience implementing closed-loop systems, Bayesian optimization, or active learning to select subsequent experiments based on experimental results
**Automation and analytical instrument integration:** Experience integrating liquid-handling platforms such as Hamilton, Tecan, or Opentrons, or chromatography and mass-spectrometry instruments, plate readers, electronic tongues, or electronic noses
**Relevant experimental and data-platform experience:** Experience automating flavor formulation, small-molecule or receptor assays, or analytical sample preparation, and connecting these workflows with LIMS, electronic lab notebooks, or AI models
**Research contributions and international collaboration:** Demonstrated contributions through publications, patents, open-source projects, or deployed systems, alongside the ability to write technical documentation and collaborate in English
Ready when you are. The application takes about ten minutes.
#J-18808-Ljbffr
Open roles across AI research, scientific engineering and flavor science. If none of them is yours, the talent pool is one tab away.
### Join us in designing the next experiment---connecting AI with the laboratory to advance flavor discovery.
### About Noah's Farm
Noah's Farm is an AI-driven flavor discovery and molecular design company headquartered in Singapore, with operations in Korea and the United States. We combine machine learning, computational chemistry, biology, analytical science, and sensory research to develop flavor formulations and discover new flavor molecules.
We have **raised $2.8 million in pre-seed funding and secured commitments for $10 million in seed funding.** This funding supports the advancement of our core technology, expansion of our experimental infrastructure, and growth of our research team.
We have also **successfully translated AI-designed flavor formulas into physical formulations and identified new candidate molecules** , establishing a technical foundation that connects computational design with laboratory experimentation. We are now building on these achievements to create a reproducible and scalable R\&D process.
**Self-driving laboratories are a key part of this next stage.** By experimentally validating AI-proposed formulations and candidate molecules---and feeding the results back into subsequent experiment design---we aim to accelerate discovery and validation. This role will build the systems that turn AI predictions into reliable experimental results.
### **Job Description**
The Self-driving Lab Researcher will design, build, and validate experimental systems that **connect AI-driven experiment selection, automated laboratory execution, and data analysis in a closed loop.**
This is a hands-on research and engineering role focused on translating chemistry, flavor formulation, analytical, and biological protocols into reproducible, machine-executable workflows. Working closely with scientists and engineers, you will develop systems spanning sample preparation, instrument control, result evaluation, and selection of the next experiment.
Beyond automating repetitive tasks, you will help determine **which experiments to run, how much confidence to place in their results, and what to investigate next.**
### **Key Responsibilities**
**Automate experimental protocols and integrate laboratory instruments**
Translate flavor formulation, sample preparation, liquid handling, dilution, mixing, and analytical procedures into automated workflows.
Use Python and instrument interfaces to connect liquid handlers, analytical instruments, and sensors.
**Build AI-driven closed-loop experimental systems**
Establish workflows that connect candidate selection → experimental execution → measurement and analysis → selection of the next experiment.
Collaborate with AI and data-engineering teams to translate model recommendations into experiments and feed experimental results back into model development.
**Design experiments and optimize conditions**
Apply design of experiments, Bayesian optimization, or active learning to prioritize formulation conditions, assay parameters, and candidate molecules.
Maximize information gained under practical constraints, including cost, sample volume, ingredient availability, and laboratory capacity.
**Validate experimental quality and troubleshoot failures**
Benchmark automated procedures against manual reference methods and verify accuracy, precision, reproducibility, and fit-for-purpose quality criteria.
Investigate pipetting errors, solubility issues, contamination, and instrument or communication failures, and establish safe shutdown and recovery procedures.
**Manage experimental data and standardize operations**
Maintain sample and batch histories, experimental conditions, protocol versions, and execution logs to ensure traceability.
Document validated workflows, software, and maintenance procedures so that the team can operate and improve the systems reliably.
### **Requirements**
M.S., Ph.D., or equivalent industry experience in chemistry, chemical engineering, bioengineering, robotics, mechatronics, computer science, or a related field
Hands-on experience developing or operating laboratory automation, robotic experimentation, high-throughput screening, or integrated instrument-control workflows
Demonstrated ability to translate experimental protocols into automated procedures and validate the quality of their outputs
**Strong Python programming skills** and experience integrating instruments through APIs, SDKs, drivers, or serial/network interfaces
Working knowledge of experimental design, statistical analysis, calibration, controls, and reproducibility in chemistry, formulation, analytical, or biological experiments
Ability to systematically investigate experimental problems and software or hardware failures to identify root causes
Ability to build reproducible software and data workflows using Git, documentation, structured data, and appropriate testing practices
Strong collaboration and communication skills across experimental science, machine learning, and hardware or software engineering
### **Preferred Qualifications**
**Autonomous experimentation and optimization:** Experience implementing closed-loop systems, Bayesian optimization, or active learning to select subsequent experiments based on experimental results
**Automation and analytical instrument integration:** Experience integrating liquid-handling platforms such as Hamilton, Tecan, or Opentrons, or chromatography and mass-spectrometry instruments, plate readers, electronic tongues, or electronic noses
**Relevant experimental and data-platform experience:** Experience automating flavor formulation, small-molecule or receptor assays, or analytical sample preparation, and connecting these workflows with LIMS, electronic lab notebooks, or AI models
**Research contributions and international collaboration:** Demonstrated contributions through publications, patents, open-source projects, or deployed systems, alongside the ability to write technical documentation and collaborate in English
Ready when you are. The application takes about ten minutes.
#J-18808-Ljbffr
Additional Details
- City
- Singapore
- State
- Singapore
- Country
- sg
- Industry
- Software
Apply and matching require a free OVN account. Browse listings anytime without signing in.