67 Biotechnology jobs in Singapore

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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB), invites applications for a position as a part-time lecturer.

Applicants should possess at least a Master’s degree in Engineering, Science, or a closely related field. They should have extensive industry and/or academic experience with a passion for teaching. Instructors are expected to excel at teaching and work closely with school administrators to provide students with a holistic learning experience.

Classes are mainly conducted during the day on weekdays or on Saturdays for make-up classes if needed.

NTU

• Entry level

• Part-time

• Engineering and Information Technology

• Higher Education

Referrals increase your chances of interviewing at Nanyang Technological University Singapore by 2x.

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Responsibilities

• Analyze blood, tissue, and fluid samples
• Perform quality control on tests
• Interpret and record test results
• Alert doctors to life-threatening results
• Help develop new tests for diseases
• Match blood for transfusions
• Test for drug levels in blood
• Perform equipment calibrations and validations

Requirement

• Bachelors in Biomedical Science/Biochemistry/Biotechnology
• 1 - 2 year of relevant experience

WA me at or tele me at @sallytsin

For interested candidates, please send your most recent and updated resume to


Tsin Chien Yee Sally
R25127272
Recruit Express Pte Ltd
EA License No. 99C4599

Operation Assistant

• 6-day work week (Monday - Saturday)
• Working hours: 9am - 6pm
• Salary : 2200 - 2800 + OT
• Address: Clarke Quay

Job Description:

• Perform tasks as an operating assistant for Company’s operations
• Assist Operations Manager in tasks related to the delivery of Company’s goods
• Liaise with customers on orders and delivery
• Report directly to Operations Manager
• Must possess a driving license and have more than 2 years of driving experience.

Requirement:

• Relevant Experience.
• Possess class 3/ 3A driving license.

WhatsApp: +65 9642 0989 (Han)

Email:

Chaw Chiaw Han, Reg No：R22106723

The Supreme HR Advisory Pte Ltd, EA No：14c7279

A postdoctoral research fellow position (junior postdoc / senior postdoc) is available in the Breitling group in the Bioinformatics Institute (BII), A*STAR, Singapore in the area of Artificial Intelligence (AI) and Machine Learning (ML) for Metabolic modelling for biotechnology chassis optimisation .

In the Breitling group, we believe that computational approaches can make a real difference for scientific progress in the life sciences. We are committed to academic excellence and have created tools, such as antiSMASH, ipaPy2, RankProd and Selenzyme, that are used by thousands of researchers in academia and industry world-wide. We value curiosity, creativity and innovation, and support the intellectual growth and career development of our team members. Alumni of the Breitling group have moved on to build their own start-up companies and have joined the faculty of major universities.

The successful candidate will be part of an interdisciplinary team working on the development of computational tools to support the Design–Build–Test–Learn cycle of synthetic biology, in close collaboration with the team of experimental scientists at A*STAR’s newly established Singapore Integrative Biosystems & Engineering Research Strategic Research and Translational Thrust (SIBER SRTT).

Job Descriptions:

• Develop and validate novel AI and ML models and methods for Metabolic modelling for biotechnology chassis optimisation.
• Apply these and other state-of-the-art computational tools to inform, guide and support the work of experimental biologists and biosystems engineers.
• Work closely with the other members of the computational synthetic biology team in BII, as well as with the team of experimental biologists at SIBER SRTT, to realise the shared mission of driving synthetic biology advances towards industrial implementation.
• Present findings at seminars, meetings and national / international conferences.
• Write manuscripts for publication in high-impact scientific journals.
• Prepare high-quality software for use by the wider community of researchers.
• Apply proactively for individual research grants as part of career development and contribute to the writing of larger grant applications.
• Build and maintain strong relationships with the local and international research network.

Requirements:

• PhD in Computer Science, Bioinformatics, Computational Biology, Biochemistry, Biotechnology, Chemical Engineering, Microbiology or a related field.
• Excellent coding and software development skills, including proficiency in Python and R programming.
• Familiarity with state-of-the-art computational tools, methodology and data formats relevant for computational biology and bioengineering, with a special focus on molecular biology and metabolic engineering.
• Passion for joining a growing and dynamic group of researchers and a demonstrated ability to work independently as well as collaboratively and efficiently in an interdisciplinary team.
• Desire to work closely with experimental biologists to develop tools to drive the new green revolution towards decarbonisation and sustainable chemical production.
• Track record of peer-reviewed scientific publications in internationally recognised journals.
• Excellent communication skills both written and spoken, especially for the preparation of scientific manuscripts and reports.
• A strong interest in the translational and applied aspects of research, including collaborations with industrial partners.

Preferred Skills:

Whether you are an experienced bioinformatician excited about the possibilities of artificial intelligence, or a biology-curious machine learning expert looking for new exciting applications across disciplines, we want to hear from you. A strong willingness to learn and develop new skills is highly preferred. We will be looking for candidates with any of the following qualities:

• Experience with the application of AI/ML tools for the automated parameterisation of genome-scale metabolic models and the generation of AI virtual cells.
• Familiarity with the tools and concepts of constraint-based metabolic modelling, including resource-constrained models, metabolic network reconstruction and metabolic flux analysis.
• Deep understanding of the methodology, aims and concepts of microbial strain engineering for biotechnology.
• Strong background in AI/ML modelling, statistics, and data analysis and visualization, preferably including practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Extensive domain knowledge in (bio)chemistry, molecular biology, microbiology and the concepts of synthetic biology / engineering biology.
• Familiarity with the techniques of agentic AI.

We offer:

• A nurturing, supportive and stimulating environment with close mentorship to develop your scientific career and shape the future of synthetic biology through innovative computational approaches.
• An opportunity to work closely with an ambitious team of experimental biologists at the forefront of advances in synthetic biology.
• Access to state-of-the-art technologies, scientific resources, core facilities and infrastructure housed within A*STAR to facilitate your research work.
• Access to collaborations with industrial partners to translate research findings to commercial applications and societal impact.
• We welcome applicants from all background.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

A postdoctoral research fellow position (junior postdoc / senior postdoc) is available in the Breitling group in the Bioinformatics Institute (BII), A*STAR, Singapore in the area of Artificial Intelligence (AI) and Machine Learning (ML) for Metabolic modelling for biotechnology chassis optimisation .

In the Breitling group, we believe that computational approaches can make a real difference for scientific progress in the life sciences. We are committed to academic excellence and have created tools, such as antiSMASH, ipaPy2, RankProd and Selenzyme, that are used by thousands of researchers in academia and industry world-wide. We value curiosity, creativity and innovation, and support the intellectual growth and career development of our team members. Alumni of the Breitling group have moved on to build their own start-up companies and have joined the faculty of major universities.

The successful candidate will be part of an interdisciplinary team working on the development of computational tools to support the Design–Build–Test–Learn cycle of synthetic biology, in close collaboration with the team of experimental scientists at A*STAR’s newly established Singapore Integrative Biosystems & Engineering Research Strategic Research and Translational Thrust (SIBER SRTT).

Job Descriptions:

• Develop and validate novel AI and ML models and methods for Metabolic modelling for biotechnology chassis optimisation.
• Apply these and other state-of-the-art computational tools to inform, guide and support the work of experimental biologists and biosystems engineers.
• Work closely with the other members of the computational synthetic biology team in BII, as well as with the team of experimental biologists at SIBER SRTT, to realise the shared mission of driving synthetic biology advances towards industrial implementation.
• Present findings at seminars, meetings and national / international conferences.
• Write manuscripts for publication in high-impact scientific journals.
• Prepare high-quality software for use by the wider community of researchers.
• Apply proactively for individual research grants as part of career development and contribute to the writing of larger grant applications.
• Build and maintain strong relationships with the local and international research network.

Requirements:

• PhD in Computer Science, Bioinformatics, Computational Biology, Biochemistry, Biotechnology, Chemical Engineering, Microbiology or a related field with at least 5 years relevant experience.
• Excellent coding and software development skills, including proficiency in Python and R programming.
• Familiarity with state-of-the-art computational tools, methodology and data formats relevant for computational biology and bioengineering, with a special focus on molecular biology and metabolic engineering.
• Passion for joining a growing and dynamic group of researchers and a demonstrated ability to work independently as well as collaboratively and efficiently in an interdisciplinary team.
• Desire to work closely with experimental biologists to develop tools to drive the new green revolution towards decarbonisation and sustainable chemical production.
• Track record of peer-reviewed scientific publications in internationally recognised journals.
• Excellent communication skills both written and spoken, especially for the preparation of scientific manuscripts and reports.
• A strong interest in the translational and applied aspects of research, including collaborations with industrial partners.

Preferred Skills:

Whether you are an experienced bioinformatician excited about the possibilities of artificial intelligence, or a biology-curious machine learning expert looking for new exciting applications across disciplines, we want to hear from you. A strong willingness to learn and develop new skills is highly preferred. We will be looking for candidates with any of the following qualities:

• Experience with the application of AI/ML tools for the automated parameterisation of genome-scale metabolic models and the generation of AI virtual cells.
• Familiarity with the tools and concepts of constraint-based metabolic modelling, including resource-constrained models, metabolic network reconstruction and metabolic flux analysis.
• Deep understanding of the methodology, aims and concepts of microbial strain engineering for biotechnology.
• Strong background in AI/ML modelling, statistics, and data analysis and visualization, preferably including practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Extensive domain knowledge in (bio)chemistry, molecular biology, microbiology and the concepts of synthetic biology / engineering biology.
• Familiarity with the techniques of agentic AI.

We offer:

• A nurturing, supportive and stimulating environment with close mentorship to develop your scientific career and shape the future of synthetic biology through innovative computational approaches.
• An opportunity to work closely with an ambitious team of experimental biologists at the forefront of advances in synthetic biology.
• Access to state-of-the-art technologies, scientific resources, core facilities and infrastructure housed within A*STAR to facilitate your research work.
• Access to collaborations with industrial partners to translate research findings to commercial applications and societal impact.
• We welcome applicants from all background.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Operation Assistant

• 6-day work week (Monday - Saturday)
• Working hours: 9am - 6pm
• Salary : 2200 - 2800 + OT
• Address: Clarke Quay

Job Description:

• Perform tasks as an operating assistant for Company’s operations
• Assist Operations Manager in tasks related to the delivery of Company’s goods
• Liaise with customers on orders and delivery
• Report directly to Operations Manager
• Must possess a driving license and have more than 2 years of driving experience.

Requirement:

• Relevant Experience.
• Possess class 3/ 3A driving license.

Interested personnel kindly contact WhatsApp: (Marcus)

Tan Meng Liang Reg No: R23115923

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Operation Assistant

• 6-day work week (Monday - Saturday)
• Working hours: 9am - 6pm
• Salary : 2200 - 2800 + OT
• Address: Clarke Quay

Job Description:

• Perform tasks as an operating assistant for Company’s operations
• Assist Operations Manager in tasks related to the delivery of Company’s goods
• Liaise with customers on orders and delivery
• Report directly to Operations Manager
• Must possess a driving license and have more than 2 years of driving experience.

Requirement:

• Relevant Experience.
• Possess class 3/ 3A driving license.

WhatsApp: +65 9642 0989 (Han)

Email:

Chaw Chiaw Han, Reg No：R22106723

The Supreme HR Advisory Pte Ltd, EA No：14c7279

This role is with NEU Battery Materials , a startup supported by SGInnovate.

Overview

NEU Battery Materials aims to be the largest, cleanest, and most neutral source of recycled lithium globally. The firm developed the world’s first patented electrochemical redox recycling method that only uses electricity and water. This revolutionary approach is paving the way for a more sustainable future in LFP battery recycling.

We are expanding our current scale of operations and are seeking an experienced Head of Research & Development . This new teammate will play a crucial role in the battery recycling process through development and scale-up to commercialization. Working closely with the Engineering team, this hire will lead, drive, and execute the R&D roadmap in collaboration with the CTO to develop cutting-edge recycling equipment for the advancement of pilots and concepts to scalable, refined commercial products.

Responsibilities

Scientific & Technical Leadership

• Set direction and roadmap for the research team, aligning with the company goals and milestones
• Work closely with the CTO to manage and shape NEU’s technical strategy
• Demonstrated ability to lead and grow high-performing technical teams through clear goal-setting, structured mentorship, and a culture of accountability and trust
• Track team progress, troubleshoot challenges and roadblocks, and provide scientific guidance
• Drive IP development and maintenance while managing the filing of patents, grant applications, and technical due diligence processes to protect intellectual property
• Design, implement, and oversee experiments aimed at enhancing lithium recovery efficiency, purity, and cost-effectiveness in the recycling of LFP batteries
• Supervise data analysis, documentation, and reporting to ensure high-quality insights for both internal teams and external stakeholders, including investors, customers, and regulatory bodies
• Uphold scientific integrity and reproducibility across all R&D activities, ensuring alignment with NEU Battery Materials' commitment to innovation and sustainability

Process Optimization & Scale-Up Support

• Collaborate closely with process engineering team to pilot novel recycling technologies and facilitate the scale-up of laboratory breakthroughs for industrial applications
• Identify and troubleshoot technical bottlenecks in the redox recovery process and propose solutions to optimize material recovery and improve process efficiency
• Act as a critical bridge between bench research and the pilot line, ensuring seamless translation of R&D innovations into scalable, commercial-ready processes

Requirements

• PhD or MS in Electrochemistry, Materials Science, Chemical Engineering, or a related discipline
• 5–15 years of hands-on R&D experience in battery technology, recycling processes, or industrial electrochemistry
• Strong foundation in electrochemical principles, including thermodynamics, kinetics, mass transport, electrodeposition, and catalyst preparation techniques.
• Proven experience in scaling up lab-scale technologies to pilot or production-level systems
• Strong track record of building, managing, and mentoring high-performing research teams
• Excellent project management and communication skills, with the ability to engage cross-functional stakeholders and external partners
• Entrepreneurial mindset with a proactive approach to experimentation, innovation, and problem-solving in a fast-paced startup environment

Interested candidates may apply directly at:

• Seniority level Director

• Employment type Full-time

• Job function Research, Science, and Strategy/Planning
• Industries Chemical Manufacturing, Research Services, and Chemical Raw Materials Manufacturing

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Queenstown, Central Singapore Community Development Council, Singapore 6 days ago

Downtown Core, Central Singapore Community Development Council, Singapore 3 weeks ago

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About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated AI Research & Development Intern to join our AI Product group that delivers innovative Computer Vision solutions to global customers. You will conform to high standards and work in a cutting-edge, dynamic, and professionally challenging environment.

As part of your role you will :

• Implement practical solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) methods, and Computer Vision (CV) models to solve real-world challenges.
• Conduct rigorous experiments to validate model performance, including data preparation, evaluation, and benchmarking, ensuring reliability and accuracy.
• Develop prototypes and proof-of-concept systems to test innovative ideas and demonstrate their feasibility and value.

Minimum Qualifications :

• Bachelor’s degree (completed or in progress) in Computer Science, Engineering, Mathematics, or a related technical field.
• Familiarity with machine learning concepts, including deep learning techniques.
• Strong programming skills, with a solid understanding of databases such as MongoDB or Neo4j.
• Excellent analytical, problem-solving, logical reasoning, communication, and teamwork skills.

Duration :

• Available for at least a 6-month internship.
• Able to work at least 4 days a week and preferably full-time.
• We are flexible with start and end dates, and can accommodate exams, leave etc.

Why join cynapse?

• Hands-on experience working on cutting-edge AI projects.
• Mentorship from experienced engineers and researchers.
• Opportunity to build impactful solutions and contribute to meaningful projects.
• Exciting work environment with flexible hours

Note : Due to the nature of the role, the position is considered for candidates that are only based in Singapore or have experience studying/working in Singapore