125 Molecular Biology jobs in Singapore

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Laboratory Setting, Some degree of PPE (Personal Protective Equipment) required (safety glasses, gowning, gloves, lab coat, ear plugs etc.)

Job Description

Responsibilities and Authorities

The Scientist II, Molecular Biology will have responsibility in planning and supporting the R&D activities for the development of New Product Introductions (NPI). Housed within Thermo Fisher Scientific Singapore R&D, the successful candidate will provide technical expertise on a project level and will be expected to integrate into a dynamic and multidisciplinary team. The ideal candidate should demonstrate a proactive attitude and excel in the fast-paced biotechnology industry. As a member of the Assay Verification and Validation team, the candidate should have the technical skills and integrity to lead tasks and achieve quality outcomes to meet project timelines and align with business requirements. We provide conducive working environment with purpose-orientated mission to enable our customers to make the world Healthier, Cleaner and Safer

Responsibilities

• Develop qPCR, NGS, and/or CE assays for New Product Introduction and support sustaining activities for existing products.
• Independently develop and carry out Verification and Validation experiments, troubleshoot challenges, evaluate data, interpret findings, and uphold detailed records of experiments.
• Author procedures, protocols, and comprehensive reports.
• Recommend and implement process, procedure, or product changes within the department.
• Lead training sessions and mentor junior team members.
• Ensure strict adherence to internal policies, procedures, and external quality standards.

Qualification

To be considered for this outstanding opportunity, you should meet the following qualifications:

• Bachelor's degree or equivalent experience in Chemistry, Biochemistry, Molecular Biology, or a related field (upper second-class level) with 4 years of practical experience,
• Or a Master's degree or equivalent experience with 2-3 years of work experience,
• Or a freshly graduated Ph.D.

Proficiencies Preferred

We are looking for individuals with the following proficiencies:

• Proficient understanding of molecular biology methodologies.
• Excellent laboratory, data analytics and documentation practices.
• Driven to deliver flawless results on time while maintaining high ethical and professional standards.
• Demonstrate resourcefulness, self-motivation, detailed and analytical thinking directed toward achieving objectives.
• Having expertise in performing verification and validation studies, being knowledgeable about ISO13485 and CLSI guidelines is advantageous.

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore , it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Research Assistant – Mid-size Molecule Unit

Job Scope:

· Peptide screening - ELISA, bead-based separation etc.

· DNA/RNA analysis - primer design, PCR, qPCR, purification (spin column, magnetic beads, ethanol precipitation, phenol chloroform extraction etc.), electrophoresis (Agarose gel, Urea-PAGE), NGS(Illumina) etc.

· Protein analysis - SDS-PAGE, western blotting, ELISA etc.

Requirements

· Lead identification screening in drug discovery

· Antibody, protein or peptide engineering

· Biopanning, such as phage display, SELEX, in vitro compartmentalization, microfluidics

· RNA-related analytics, protein purification, NGS data analysis, Biomek operation, etc.

· Degree in Biomedical Science/Biochemistry/Chemical Biology/Biotechnology/Molecular Biotechnology with 1-2 years of working experience in a related field.

· Fresh graduates are welcome to apply.

Interested applicants are invited to email their detailed resume, as well as their qualifications, availability, current and expected salary to:

For more information regarding our Company, you may refer to our website at:

We regret that only short-listed candidates will be notified

Overview
What the role is: The Singapore Botanic Gardens (SBG) is one of the oldest tropical botanical gardens and one of only three botanic gardens in the world inscribed as a UNESCO World Heritage Site. It has an extensive living and herbarium collection, including large living collections of orchids, palms, cycads, gingers and plants of human cultural significance, along with extensive herbarium collections from Singapore, Malaysia and other parts of Southeast Asia. It also has a state-of-the-art laboratory for tissue culture work and molecular work.
Responsibilities
What you will be working on: This position will involve conducting research into the population genetics of Neuwiedia veratrifolia and any other research projects as needed. The successful candidate is expected to assist with wet lab procedures such as DNA extractions, PCR and DNA library preps, and related work such as the preparation of reagents, chemical stock-taking and general lab maintenance, and perform any other duties as required.
Qualifications
Areas of studies in biological sciences, molecular biology, or a related field.
Expertise in plant molecular lab techniques such as plant DNA extraction, PCR, whole genome and reduced representation DNA library preparation for High Throughput Sequencing and library QC.
Experience in sequence data analyses such as plastome assemblies.
Independent, with a positive attitude and a good team player.
The successful candidate will be offered an 11-month employment contract.
About National Parks Board
At the National Parks Board (NParks), we take pride in conserving our natural heritage and enhancing green spaces for all to enjoy in our City in Nature. We have a multi-talented and highly passionate team that is driven by the goal to create a unique world-class living environment through excellence in biodiversity conservation, greenery and recreation, and veterinary care in partnership with the community. If you share our love for nature and animals, and our zest for innovation and continuous learning, we have the perfect working environment for you.
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(What the role is)

The Centre for Climate Research Singapore (CCRS) is a division of the Meteorological Service Singapore (MSS). At CCRS, our mission is to advance scientific understanding of tropical climate variability and change and its associated weather systems affecting Singapore and the wider Southeast Asia region, so that the knowledge and expertise can benefit decision makers and the community. Our vision is to be a world leading centre in tropical climate and weather research focusing on the Southeast Asia region.

CCRS is offering an exciting job opportunity for a scientist with a strong background in AI/ML and its application to climate, as well as good knowledge of climate variability and change in the tropics with focus on Southeast Asia. As part of the Department of Climate Research (DCR), the Climate Projections and Extremes Branch (CPEB) focuses on climate processes relevant to Singapore and the Southeast Asian region and developing next generation high resolution regional climate change projections for its stakeholders.

A core component of the work is the application of AI/ML methods for climate and climate change time scales, especially as part of the new AI-based production of high-resolution regional climate change projections.

We are therefore seeking an experienced scientist with a strong background in the application of AI/ML in climate science as well as an understanding of climate variability and change (especially for tropical regions such as Southeast Asia).

(What you will be working on)

The job scope will include but not limited to the following:

• Implement AI/ML methods on our HPC system; train the AI/ML models and test their capabilities
• Benchmarking of climate and downscaling AI/ML models for use in climate projections
• Contribute to the analysis of climate simulations using both standard as well as ML methods
• Contribute to research on climate variability and change (including tropical processes) as guided by the BH and HOD
• Contribute to CPE Branch strategic planning through contributions to annual work plans, end of year reports, regular meetings with BH CPE Branch and other relevant staff.
• Contribute to support, nurture and developing of other scientists in the CPE Branch, regarding AI/ML applications.
• Contribute to effective stakeholder engagement

(What we are looking for)

The job might be for you if you possess the following:

• PhD/MSc degree in computer science, physical sciences and research experience in application of AI in climate, atmospheric/oceanic science, or meteorology
• High proficiency in scientific computing, especially PYTHON, with experience applying AI/ML libraries
• Experience working on HPC systems (linux, bash, CDO, etc)
• Experience in publishing articles in peer-reviewed journals
• Versatile and creative verbal and written communication skills, able to communicate detailed technical/ scientific information into easily understood, engaging, influential and informative article/programme to a broad audience
• Ability to work effectively to deadlines on individual projects and as part of a diverse team.
• Interest and passion to deliver relevant R&D for societal benefits.
• Ability to network effectively with the local and international research community.
• Ability to engage and communicate with scientists and stakeholders from diverse communities.

Please send in samples of past work, clearly stating the areas of your involvement.

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

Temasek is looking for a candidate to join them as a Research Scientist.

Key Responsibilities

• Conduct evaluation of state of the art embedded microcontroller and associated cryptography algorithms
• Develop and test research methods on non-invasive and semi-invasive aspects of hardware security including but not limited to: post-quantum cryptography, Embedded Security, IoT security, Hardware Forensics etc
• Responsible for device setup, device testing, data analysis and reporting
• Publish in top international venues for optimal communication of our research

Job Requirements

• Minimally Master's degree in Electrical / Electronic / Computer Engineering or equivalent
• Applicants with PhD preferred
• Prior experience in working with embedded systems is required
• Prior experience with coding and evaluation of cryptography hardware or quantum devices is required
• Coding background in either of C/Java/Assembly/Python/VHDL for analysis is required
• Basic knowledge of advanced cryptography algorithms like post quantum cryptography is prefered
• Creative, curious, self-motivated and a team player with good analytical and problem-solving skills

We regret to inform that only shortlisted candidates will be notified.

The candidate will be responsible for conducting research on improving the performance of health monitoring on smart earbuds using PPG technology. Successful candidate will be part of an active research team led by Prof Thivya Kandappu from School of Computing and Information Systems, Singapore Management University.

Candidate's core responsibilities are:

• Work on literature review and study design.
• Work on IRB application and preliminary self-test.
• Work on large-scale data collection with 30-40 participants.
• Work on analyze data and write a report.
• Other duties assigned.

Qualifications

• Minimum PhD degree in Computer Science, Biomedical Engineering, Information Systems or closely related disciplines from an institution of higher learning
• Minimum 1 years of relevant research experience in wearable-based sensing, PPG signal analysis, embedded device, or signal processing
• Basic knowledge/Proficiency in programming software/languages such as Python and C will be positively considered/ is required
• Demonstrated experience and know-how on PPG sensors and signal processing
• Good analytical, technical and problem solving skills
  • Applicants with research publications in PPG will be advantageous
• Applicants with research background in Biomedical Engineering will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

Other Information

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world's top universities. NTU's College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU's College of Computing and Data Science is an 'exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

We are seeking a skilled and motivated Research Scientist to join our quantum-safe security team at NTU's CCDS. This role is instrumental in supporting Singapore's national agenda in digital trust by contributing to the research, development, and integration of cutting-edge post-quantum cryptographic (PQC) solutions. The candidate will work closely with researchers and enterprise stakeholders to analyze existing cryptographic software stacks and drive the migration to quantum-safe alternatives.

As part of the national quantum-safe migration effort, the Research Scientist will develop software tools, frameworks, and libraries, and upgrade existing systems to meet emerging PQC standards. This position is ideal for a technically strong developer who is passionate about cybersecurity and wishes to make a tangible impact in future-proofing critical digital infrastructures.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Scientist.

Key Responsibilities:

• Work closely with research and engineering teams to develop and integrate post-quantum cryptographic (PQC) solutions into existing and new software systems
• Analyze and assess current cryptographic implementations, libraries, and system architectures to identify upgrade paths for quantum-safe migration
• Design, implement, and test software modules, protocols, or frameworks that use NIST-standardized PQC algorithms
• Evaluate performance, interoperability, and security implications of replacing classical cryptographic schemes with quantum-safe alternatives
• Support the development of technical documentation, migration roadmaps, and user integration guides for internal and external stakeholders
• Collaborate with industry partners (e.g., financial institutions, OEMs) to deploy and validate the migration of their systems to quantum-safe cryptography
• Contribute to research papers, technical reports, and presentations for internal reviews and external conferences or journals

Job Requirements:

• PhD degree in Computer Science, Cybersecurity, or a related field
• At least 1-2 years of relevant experiences in similar role / technical hands-on experience
• Familiarity with cryptographic and security protocols, including post-quantum cryptography
• Excellent written and oral communication skills
• Proficiency in programming (Python, C, Go)
• Familiarity with TLS, VPNs, PKI, and open-source crypto libraries (e.g., OpenSSL, BoringSSL)
• Familiarity with project management tools

We regret to inform that only shortlisted candidates will be notified.

Summary:

Our client are seeking a Research Scientist to join our corporate lab, focusing on data analytics and machine learning applications for enzyme production optimization. The role involves modeling analytical data from factories and R&D centers using AI/ML approaches, and contributing to research outputs such as publications and patents.

Remuneration:

• Up to $10,000, with AWS and Variable Bonus

Responsibilities

• Manage and preprocess large datasets for analysis.
• Develop scripts and code to perform specified computational tasks.

• Apply statistical analysis and machine learning techniques, including:

• Optimization algorithms

• Supervised and unsupervised learning
• Sampling algorithms
• Deep learning models
• Optimize ML/AI models to meet performance specifications.
• Summarize and present results for internal reporting and external stakeholders.
• Participate in seminars, research-in-progress meetings, and collaborations.
• Contribute to writing and publishing scientific papers and patents.

Requirements

• PhD in Statistics, Data Science, Computer Science, or a related field.
• Proficient in coding with R, Python, Java, and Bash.
• Strong knowledge of bioinformatics (sequence analysis, protein structure prediction).
• Experience with AI/ML frameworks such as TensorFlow or PyTorch.
• Demonstrated ability in optimizing ML/AI models.
• Apt learner, adaptable, and able to apply new computational techniques to open-ended problems.
• Effective communicator and team player, capable of explaining technical concepts to non-specialists.

Interested candidates please apply online or send your latest CV to

AlwaysHired Pte Ltd

Reg No: R

EA: 24C2293

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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view

We are seeking an accomplished and visionary scientist to lead Singapore Max Planck Alliance for Sustainable Chemical Conversion of Biomass under the CREATE Thematic Programme in Decarbonisation. This role serves as the primary scientific representative the project and is responsible for executing the research vision in collaboration with local and international partners. The successful candidate will drive the development and scale-up of continuous flow chemical systems and novel catalytic pathways, contributing to global advancements in sustainable chemistry and renewable feedstock utilization. The candidate will also be responsible for cross-institutional coordination, lab commissioning, team building, and research translation, ensuring smooth integration across NTU, MPI, and other stakeholders.

Key Responsibilities:

• Provide scientific leadership and direction for a multidisciplinary research team focused on biomass valorization and continuous-flow process development.
• Act as the scientific and operational anchor between MPI (Germany) and NTU (Singapore), facilitating effective cross-national coordination.
• Lead the design, commissioning, and operation of the Automated Flow Chemistry Laboratory, including layout design, staffing, and procurement.
• Drive the development and optimization of closed-loop, automated flow chemistry systems for biomass valorization, integrating data-driven design and in-line analytics.
• Ensure effective project management, team coordination, and progress reporting, while maintaining high standards of safety and scientific rigor.
• Mentor and guide a team of 5–6 researchers, including Research Fellows and Assistants.
• Oversee project progress, ensure milestone achievements, and contribute to the drafting of research proposals and industrial engagement activities.
• Disseminate results through high-impact journals, patents, and global conferences.
• Represent MPI in administrative, academic, and strategic discussions, including engagement with CREATE leadership and NRF stakeholders.

Job Requirements:

• Doctoral degree in Chemical Science, Chemical Engineering, Chemistry, or a related field.
• Strong expertise in flow chemistry, automation, Chemputer-based platforms, and closed-loop experimentation.
• Experience in digitalization of chemical synthesis, lab automation, and pilot-scale system development.Strong research portfolio with high-impact publications
• Demonstrated leadership in interdisciplinary or international research projects.
• Experience in managing lab-scale to pilot-scale chemical processes, including automation, scale-up, and data-driven optimization.
• Prior involvement in programme proposal writing, lab layout design, and research coordination is a strong plus.
• Excellent organizational, communication, and interpersonal skills with the ability to lead diverse teams and manage cross-institutional collaborations.

We regret to inform that only shortlisted candidates will be notified.