job description
Join A*STAR as a Senior Scientist in Digital Chemistry and lead groundbreaking research in sustainable chemical workflows from the vibrant innovation hub of Bali, Indonesia. This is a unique opportunity to merge cutting-edge computational chemistry with digital transformation, driving impactful solutions for global sustainability challenges.
As part of our International Sustainable Chemical Engineering (ISCE²) initiative, you will collaborate with cross-disciplinary teams to develop AI-driven molecular design, automated synthesis planning, and data-centric process optimization. Your work will directly contribute to reducing environmental footprints in chemical manufacturing while accelerating discovery timelines.
Based in Bali’s dynamic ecosystem—spanning Canggu, Ubud, or Denpasar—you’ll enjoy a hybrid/remote-friendly work model, blending tropical work-life balance with access to A*STAR’s global R&D network. Ideal for visionary scientists passionate about green chemistry, Industry 4.0, and digital innovation.
Responsibility
- Lead R&D projects in digital chemistry, focusing on sustainable synthesis routes and computational modeling of chemical processes.
- Develop and implement AI/ML algorithms for molecular design, reaction prediction, and process optimization.
- Design automated workflows integrating high-throughput experimentation with data analytics to accelerate discovery.
- Collaborate with industry partners and academic institutions to translate research into scalable, eco-friendly solutions.
- Publish high-impact papers and present findings at international conferences (e.g., ACS, Green Chemistry).
- Mentor junior scientists and PhD students in digital chemistry methodologies and tools.
- Stay abreast of emerging technologies (e.g., quantum computing, robotics) and assess their applicability to chemical R&D.
- Contribute to IP development and patent filings for novel digital chemistry innovations.
Qualifications
- PhD in Chemistry, Chemical Engineering, or Computational Science with 5+ years of post-doctoral or industry experience in digital chemistry or molecular modeling.
- Proven expertise in computational tools (e.g., Schrödinger, Gaussian, RDKit, Python/C++) for chemical simulations.
- Experience with AI/ML frameworks (TensorFlow, PyTorch) applied to materials discovery or reaction engineering.
- Strong background in sustainable chemistry principles (e.g., green solvents, atom economy, E-factor).
- Track record of peer-reviewed publications or patents in digital chemistry or related fields.
- Familiarity with laboratory automation (e.g., robotics, IoT sensors) and data infrastructure (LIMS, cloud computing).
- Excellent communication skills to bridge technical and non-technical stakeholders.
- Willingness to relocate to Bali or work in a hybrid model with occasional travel to Singapore.