About Auristone

Auristone is an Asian-based epigenomic profiling company with data analytics capabilities that spun out from Genome Institute of Singapore (GIS) in 2021 with the vision to be the largest curator of Asian Epigenomic database to drive epigenomic discoveries. The company’s Scientific Co-Founders are Professor Patrick Tan and Professor Teh Bin Tean, who are both internationally recognised world-experts in the field of epigenomics and Gastric Cancer (GC), and in the field of genomic, translational research and drug discovery respectively.

Auristone seeks to impact Personalised Medicine for cancer patients by introducing EPI-Call™, a 2nd generation NGS test where epigenomic information is provided in addition to genomic information. Auristone also develops predictive algorithms for patient response to treatment types. Beyond EPI-Call™, Auristone aims to utilise her proprietary Epigenomic-driven Discovery Engine (Epi-Tome™) to guide novel biomarkers and drug targets discoveries through both in-house R&D and external partnerships.

With improved precision oncology through EPI-Call™ and EPI-Tome™, we are one step closer to providing bespoke therapy, reducing side-effects, lower costs and better quality of life for our patients.

Job Description

This project aims to integrate epigenomic profiling into clinical practice to advance precision medicine and enhance patient care with our flagship product EPI-CALL. Epigenomic profiling offers valuable insights into gene expression regulation, tumour microenvironment and treatment response, allowing for tailored therapeutic interventions and improved patient outcomes.

• Early adoption of Epigenomic Profiling: The main highlight of this project is the integration of epigenomic profiling technologies into routine clinical workflows with genomic testing. This involves collaborating with partners and clinicians to introduce EPI-CALL and gather feedback on the results on its clinical utility.
• Patient Care Enhancement: The primary responsibility is to leverage on our proprietary pipeline that generates outcomes to personalise treatment strategies and optimise patient care pathways. This includes identifying biomarkers, predicting treatment responses, and monitoring disease progression through epigenetic signatures.

Responsibilities

• Market Analysis: Conduct a thorough analysis of the clinical landscape to identify opportunities and challenges for EPI-CALL.
• Stakeholder Engagement: Collaborate with healthcare providers, researchers, and regulatory bodies to garner support and establish guidelines for epigenomic testing in clinical settings.
• Protocol & Workflow Development: Develop standardised protocols for sample collection, processing, and analysis to ensure consistency and reproducibility of epigenomic data.
• Education and Training: Provide education and training sessions for healthcare professionals on the principles and applications of epigenomic profiling in patient care.
• Clinical Interpretation: Utilise bioinformatics tools and resources to interpret epigenomic data and translate findings from EPI-CALL into actionable insights for clinical decision-making.

About Axcynsis Therapeutics

Axcynsis Therapeutics is a platform-based biotechnology company focussed on the development of antibody drug conjugate (ADC) therapies to revolutionise cancer treatments. Leveraging on proprietary technologies, we are developing a robust pipeline of ADC candidates with the potential to address unmet needs for new treatment options.
We are seeking a talented and motivated researcher to join our R&D team in Singapore.

Responsibilities

Experimental Design and Execution:

• Plan, design, and conduct experiments related to antibody discovery, including immunisation strategies, hybridoma generation, phage display, yeast display and molecular cloning.
• Perform hands-on laboratory work, including sample preparation, cell culture, immunisations, and antibody screening.

Antibody Screening and Characterisation:

• Develop and optimise high-throughput screening assays to identify antibodies with desired properties such as specificity, affinity, and functionality.
• Conduct antibody characterisation assays, such as ELISA, Western blot, flow cytometry, and functional assays.

Antibody engineering:

• Employ protein engineering techniques to optimise antibodies, improving their affinity, stability and pharmacokinetic properties.

Data Analysis and Documentation:

• Analyse experimental data using appropriate statistical methods and software tools.
• Maintain detailed and accurate laboratory notebooks, experiment records, and electronic databases.
• Prepare reports, summaries, and presentations for team meetings and project updates.

Innovation and Problem Solving:

• Stay updated with the latest advancements in antibody discovery techniques and propose innovative approaches to enhance the efficiency and success of the research.

Laboratory Management:

• Maintain laboratory equipment and ensure proper functioning. Troubleshoot and perform basic maintenance when necessary.
• Manage and order laboratory supplies to ensure smooth workflow.

Job Requirements

• PhD or Master’s degree in Immunology, Molecular Biology, Biochemistry, or a related field.
• Hands-on experience with antibody discovery techniques such as hybridoma generation, phage display, or related methodologies.
• Proficiency in molecular and cell biology techniques.
• Familiarity with protein expression techniques like mammalian and bacterial protein expression and purification. Protein analysis techniques such as ELISA, Western blot, and flow cytometry is desirable.
• Strong data analysis skills using software tools like Excel, GraphPad Prism, or similar.
• Excellent organisational skills and attention to detail.
• Strong written and verbal communication skills.
• Ability to work collaboratively in a team-oriented environment.

About BetaLife

BetaLife is a stem cell therapy company focused on regenerative medicine for diabetes. The company is backed by a founding team with more than a decade of experience in stem cells and diabetes. BetaLife develops research-grade human induced pluripotent stem cell (hiPSCs) products, as well as high quality, clinical-grade hiPSCs that can be developed into pancreatic beta cells for cell replacement therapy. The company also conduct personalised cell/hiPSC banking to safeguard your future.

Job Description

BetaLife is looking for an exceptional wet lab research scientist to play a key role in developing our stem cell-based therapy for diabetes. The scientist will lead the process development and early phase CMC activities, specifically the development and optimisation of cell manufacturing processes in scale out and scaled up platforms, and application of analytical methods for in-process control and release testing of a new cell therapy product for diabetes. The scientist will work closely with an established CDMO partner, external consultants/vendors, and our in-house R&D team and external collaborators, to complete technology transfer, develop protocols and quality systems procedures, and assist in process development, method validation and downstream analyses (both in-house and outsourced). These are with the goal of generating proof-of-concept pre-clinical data and contributing to the CMC sections to support the regulatory dossier in future for early phase clinical trials.

Other job responsibilities include participating in BetaLife’s existing pipelines in stem cell banking (in compliance with GMP) and stem cell-related research services.

The candidate is expected to play a proactive role as part of the core team and possess an entrepreneurial mindset. He/She may be entrusted with varied assignments covering both scientific and commercial activities, and have the opportunity to contribute substantially, and grow and develop with the company.

Job Requirements

1. Ph.D. in Life Sciences, Biomedical Sciences, Biotechnology, Biomedical Engineering or related disciplines
2. Extensive experience with mammalian cell culture and molecular biology techniques
3. Experience with mammalian stem cells (especially human pluripotent stem cells) or pancreatic islet cells will be valued
4. Experience with process development and validation will be valued
5. Possess a startup mindset, high level of adaptability and proactiveness
6. Highly motivated, innovative, and able to work flexible hours (including some weekend hours) in a fast-paced environment
7. Excellent organisational skills and attention to detail
8. Excellent interpersonal skills with the ability to multi-task, work independently and also as part of a team to achieve assigned tasks within required timelines
9. Fluent in both written and spoken English; fluency in Mandarin is a plus

About BioCells Innovation

BioCells Innovations Pte. Ltd. is a Singapore based company, the R&D spun-off from CellVec Pte Ltd (established in 2018) and we are committed to bring cell and gene therapy to patients in need. We achieve this by partnering with companies with capabilities of generating novel antigen-binding sequences for the design of new CAR constructs, as well as company with the technologies to decipher functionally relevant genes for the generation of allogenic CAR T cells. Our R&D platform technologies include a proprietary in-housed developed CAR lentiviral vectors and a novel cell processing process that may help to reduce potential adverse events associated with cytokine release syndrome while maintaining a robust anti-tumor efficacy. We seek talented individuals who are eager to work on this innovative enterprise and help shape this exciting field right from the start.

Responsibilities

• Involve in the generation and characterisation of novel CAR constructs and related upstream processes
• To optimise and execute downstream cell therapy manufacturing processes
• Capable of working with minimal supervision, and willing to work in a team when required
• Support technology transfer, presentations, and providing mentorship to junior members of the laboratory
• Assist in the preparation of study protocols, reports, SOPs, and documents for regulatory filing activities.

Job Requirements

MSc. / PhD in immunology, cell biology, molecular biology, or a related field. We are looking for a researcher keen to embark on a journey of new discoveries, and development. Self-motivated individual with good interpersonal skills. In compliance to laboratory safety procedures and other lab duties as required.

About CellVec Pte Ltd

CellVec is a certified GMP gene therapy Contract Development and Manufacturing Organisation (CDMO) that is a specialist provider of custom viral vectors for pre-clinical and clinical applications. 

Job Description

CellVec Pte. Ltd. is looking for a highly motivated MSAT Scientist to join our team. The successful candidate will play a critical role in the development, production and analysis of viral vectors for external clients. The incumbent will also be responsible for technology transfer from the MSAT laboratory to GMP manufacturing.

Responsibilities

• Perform laboratory experiments for process development and characterisation studies of viral vectors
• Perform cell manipulation techniques including viral vector transfection & cell transduction
• Maintain mammalian cell cultures using aseptic techniques and perform purification processes using chromatography and tangential flow filtration
• Perform molecular biology and analytical assays such as flow cytometry, real-time PCR and ELISA etc.
• Perform process and product-related troubleshooting, product impact assessments, root cause analysis and prepare technical reports
• Collaborate with Manufacturing and Quality to develop platform procedures, draft technology transfer documents, and utilise other manufacturing resources as required to execute production and analytical processes

Job Requirements

• Master or PhD in Chemical Engineering, Biology, Biochemistry, Biotechnology, or related fields with 2-4+ years of relevant industry experience in MSAT, Process Development and/or GMP Manufacturing
• A highly motivated team player with an ability to be productive and a willingness to learn in a fluid, fast-paced and environment are essential
• Excellent organisational and collaborative skills, with the ability to design and troubleshoot experiments with minimal supervision or as part of a group

​​​​​​​About PairX Bio

PairX Bio is a precision oncology company developing next generation therapeutics targeting cancer-associated antigens derived from alternatively spliced proteins. The PairX Bio discovery platform is built upon a deep understanding of mRNA splicing biology and robust validation of identified targets. The technology was developed and spun out from Professor David Epstein’s lab at Duke-NUS Medical School.

Job Description

Join our innovative and exciting oncology startup as a Bioinformatician, where you'll gain exposure to the early-stage biotech environment, develop your critical thinking, and participate in making informed decisions about target selection. Leveraging your expertise in bioinformatics and computational biology you will collaborate closely with our team of scientists and play a pivotal role in analysing and interpreting complex transcriptomic and molecular data to contribute to the identification of novel therapeutic targets and the development of cutting-edge treatments.

Responsibilities

1. Develop statistical and machine learning methods to identify therapeutic targets.
2. Contribute to development of data analysis workflows for NGS data, ensuring reproducibility and scalability of analyses.
3. Communicate and work with the discovery team to design experiments and validate findings.
4. Document analysis workflows and their associated data flow into SOPs, work instructions, protocols, and other technical documentation.
5. Manage and organise multiple target programs concurrently.
6. Present findings and insights to both technical and non-technical audiences, including team members, management, and potential collaborators.

Job Requirements

1. Ph.D. in Computational Biology, Bioinformatics, Biostatistics, or a related field, with experience in analysis of large-scale omics data sets (NGS data).
2. Strong programming skills in R, Python, and/or other languages commonly used in bioinformatics and data sciences.
3. Proficiency with Unix-based systems and running or scripting applications from the command line.
4. Familiarity with public genomics databases/resources and data processing
5. Knowledge of statistical analysis, machine learning, and data visualisation techniques applied to biological data.
6. Knowledge of cloud computing environments (especially AWS), server maintenance and upkeep.
7. Previous experience in the oncology space and downstream molecular biology analysis is a plus.
8. Experience in RNA splicing analysis is highly desirable.
9. Strong communication skills and ability to collaborate effectively in a multidisciplinary team environment.