72 Paid Research jobs in Indonesia

• Assist in the design and execution of experiments under the supervision of senior researchers.
• Prepare reagents, solutions, and culture media as required for experimental procedures.
• Operate and maintain laboratory equipment, including basic calibration and troubleshooting.
• Collect, record, and organize experimental data accurately using electronic lab notebooks and databases.
• Perform basic data analysis and prepare summary reports.
• Conduct literature searches to support research projects.
• Maintain inventory of lab supplies and chemicals, and assist with procurement.
• Ensure compliance with laboratory safety protocols and standard operating procedures (SOPs).
• Assist with sample preparation and processing for analysis.
• Collaborate with team members to ensure smooth laboratory operations.
• Contribute to the overall efficiency and organization of the research environment.

• Bachelor's degree in a relevant scientific field (e.g., Biology, Chemistry, Biotechnology, Physics).
• Previous laboratory experience, either through academic coursework or prior employment, is highly desirable.
• Familiarity with basic laboratory techniques and equipment.
• Strong organizational skills and meticulous attention to detail.
• Ability to follow detailed instructions and protocols accurately.
• Good written and verbal communication skills.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
• Ability to work effectively both independently and as part of a team.
• Willingness to work on-site in Tasikmalaya, West Java, ID for specific tasks, while having the flexibility for remote work on other tasks.
• Basic understanding of statistical analysis is a plus.

Kesempatan

Bergabunglah dengan tim kreatif kami di ANTARESTAR' sebagai Peserta Magang Berbayar untuk Penelitian dan Pengembangan Dalam peran ini, Anda akan terlibat dalam proses inovatif perancangan dan pengembangan produk-produk fashion dan tekstil yang unik. Sebagai bagian dari tim kami yang dinamis, Anda akan memainkan peran kunci dalam menerjemahkan tren terkini dan konsep baru menjadi produk yang memikat secara visual dan fungsional.

Tanggung Jawab

• Melakukan riset mendalam tentang tren, konsumen, dan kompetitor di industri fashion dan tekstil
• Membantu dalam pengembangan konsep desain, sketsa, dan prototipe produk baru yang inovatif
• Berkontribusi pada pengujian dan penyempurnaan produk untuk memastikan kualitas dan daya tarik visual yang optimal
• Berkolaborasi dengan tim desain, produksi, dan pemasaran untuk mewujudkan visi produk
• Memberikan ide-ide segar dan berpikir di luar kebiasaan untuk mendorong inovasi di ANTARESTAR'

Kualifikasi

• Mahasiswa/lulusan baru jurusan Desain Fashion, Desain Tekstil, atau bidang terkait
• Memiliki minat dan pemahaman yang mendalam tentang tren, gaya, dan inovasi di industri fashion dan tekstil
• Memiliki kemampuan sketsa dan visualisasi yang baik, serta pengetahuan tentang perangkat lunak desain
• Berpikir kreatif, inovatif, dan memiliki rasa keingintahuan yang tinggi
• Mampu bekerja dalam tim dengan baik serta beradaptasi di lingkungan yang cepat berubah
• Berbahasa Indonesia dan Inggris dengan lancar, baik lisan maupun tertulis

Manfaat

• Kesempatan untuk belajar dan berkembang di lingkungan kreatif dan inovatif
• Mendapatkan bimbingan dan mentoring dari profesional berpengalaman di industri
• Potensi untuk direkrut sebagai karyawan Kontrak setelah magang berhasil

• Conduct comprehensive literature searches and reviews on specific scientific topics and emerging technologies.
• Analyze and interpret large datasets from experiments, trials, and existing research.
• Synthesize complex scientific information from various sources into clear, concise reports and summaries.
• Identify trends, patterns, and potential research gaps or opportunities.
• Collaborate with research scientists and engineers to support project goals and experimental design.
• Develop and maintain databases of scientific literature, patents, and research findings.
• Prepare presentations and briefs for research teams, management, and external stakeholders.
• Contribute to the intellectual property strategy by identifying patentable inventions.
• Stay updated on scientific advancements, methodologies, and competitive intelligence within relevant fields.
• Ensure the accuracy and integrity of all research data and analyses.
• Assist in the planning and organization of research initiatives.
• Provide support for grant proposals and scientific publications.

• Master's or Ph.D. degree in a scientific discipline (e.g., Chemistry, Biology, Physics, Engineering) or a related field.
• Minimum of 5 years of experience in scientific research, data analysis, or a related analytical role.
• Proven expertise in conducting literature reviews and synthesizing scientific information.
• Strong analytical and critical thinking skills, with the ability to interpret complex data.
• Proficiency in scientific databases (e.g., PubMed, Scopus, Web of Science) and research tools.
• Excellent written and verbal communication skills, with the ability to explain technical concepts clearly.
• Experience with statistical analysis software (e.g., SPSS, R, Python libraries) is a significant advantage.
• Detail-oriented with a strong commitment to accuracy and quality.
• Ability to work independently and manage multiple research tasks concurrently.
• Familiarity with research and development processes in an industrial setting is a plus.
• Experience in patent analysis or competitive intelligence is desirable.

• Design, execute, and analyze complex scientific experiments.
• Develop and optimize research protocols and methodologies.
• Collect, interpret, and present experimental data to the research team.
• Contribute to the development of hypotheses and research proposals.
• Operate and maintain specialized laboratory equipment.
• Ensure adherence to strict laboratory safety procedures and quality standards.
• Assist in the preparation of scientific manuscripts, reports, and presentations.
• Collaborate with team members on research projects and problem-solving.
• Mentor and guide junior research staff as needed.
• Stay current with scientific literature and advancements in the relevant field.

• Master's or Ph.D. in Biology, Chemistry, Biochemistry, Biomedical Science, or a related field.
• Minimum of 5 years of hands-on laboratory research experience.
• Proven expertise in experimental design and execution within a specific scientific discipline.
• Strong data analysis skills, including statistical analysis and interpretation.
• Proficiency in relevant laboratory techniques and instrumentation.
• Excellent scientific writing and communication skills.
• Ability to work independently and as part of a collaborative team.
• Strong problem-solving and troubleshooting capabilities.
• Meticulous attention to detail and commitment to accuracy.
• A genuine passion for scientific research and discovery.

• Assist in designing and conducting experiments related to genomics and molecular biology.
• Perform data collection, organization, and preliminary analysis for research projects.
• Manage and maintain large genomic datasets, ensuring data integrity and accuracy.
• Utilize bioinformatics tools and databases for sequence analysis and interpretation.
• Contribute to the preparation of research reports, manuscripts, and presentations.
• Collaborate with senior scientists and researchers on experimental design and troubleshooting.
• Maintain detailed and accurate records of all research activities and findings.
• Stay abreast of the latest advancements in genomics, molecular biology, and relevant research methodologies.
• Ensure compliance with laboratory safety protocols and ethical research standards.
• Assist in the literature review and synthesis of relevant scientific publications.

• Bachelor's or Master's degree in Genetics, Molecular Biology, Biochemistry, Bioinformatics, or a related life science field.
• Minimum of 2 years of relevant research experience, preferably in a genomics-related area.
• Strong understanding of molecular biology techniques (e.g., PCR, sequencing, gene editing).
• Experience with bioinformatics tools and software for analyzing genomic data (e.g., BLAST, R, Python for bioinformatics).
• Proficiency in data management and statistical analysis.
• Excellent attention to detail and problem-solving abilities.
• Strong written and verbal communication skills for scientific collaboration.
• Ability to work independently and manage time effectively in a remote research environment.
• Familiarity with scientific literature databases and research methodologies.
• A proactive attitude and a strong desire to contribute to scientific discovery.

• Lead the design and implementation of sophisticated statistical models and machine learning algorithms to analyze large-scale scientific datasets.
• Develop predictive models, classification systems, and data mining techniques to uncover hidden patterns and insights.
• Collaborate closely with research scientists, biologists, chemists, and other domain experts to understand their data needs and translate scientific questions into analytical problems.
• Define key performance indicators and metrics for research projects and evaluate the impact of findings.
• Build data pipelines, perform feature engineering, and ensure the quality and integrity of data used for analysis.
• Communicate complex analytical findings and recommendations clearly and effectively to both technical and non-technical audiences through reports, presentations, and visualizations.
• Mentor junior data scientists and data analysts, fostering a culture of learning and continuous improvement.
• Stay abreast of the latest advancements in data science, machine learning, and relevant scientific fields.
• Contribute to the development of intellectual property and publish research findings where appropriate.
• Evaluate and implement new tools and technologies to enhance the data science capabilities.

• Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, Bioinformatics, or a related discipline.
• Minimum of 8+ years of progressive experience in data science, with a significant focus on scientific research applications.
• Expertise in statistical modeling, machine learning (e.g., deep learning, regression, clustering, classification), and experimental design.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Strong SQL skills and experience with big data technologies (e.g., Spark, Hadoop).
• Demonstrated ability to translate complex scientific problems into data-driven solutions.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Proven ability to lead projects, mentor team members, and communicate technical concepts effectively.
• Experience in specific scientific domains (e.g., genomics, drug discovery, materials science) is highly desirable.
• Familiarity with cloud platforms (AWS, Azure, GCP) for data science workloads.

• Design, develop, and implement sophisticated machine learning models and statistical analyses to address complex scientific research questions.
• Clean, process, and transform large, heterogeneous datasets from various sources (e.g., experimental results, simulations, literature).
• Identify key drivers and patterns within data to generate actionable insights and hypotheses for further investigation.
• Develop and maintain robust data pipelines and ETL processes for efficient data management and accessibility.
• Collaborate closely with researchers, engineers, and domain experts to understand their data needs and provide analytical solutions.
• Visualize complex data and model results in clear and compelling ways for technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and relevant scientific fields.
• Contribute to the development of analytical best practices and the evaluation of new tools and technologies.
• Communicate findings and recommendations effectively through reports, presentations, and interactive dashboards.
• Ensure the reproducibility and scalability of developed analytical solutions.
• Mentor junior data scientists and contribute to the team's knowledge sharing.
• Identify opportunities to apply data science techniques to improve research methodologies and outcomes.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, Bioinformatics, or a related quantitative field.
• Minimum of 7 years of professional experience in data science or a related analytical role, with a strong emphasis on scientific research applications.
• Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
• Proficiency in programming languages such as Python (with libraries like NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch) and R.
• Experience with SQL and NoSQL databases.
• Strong data visualization skills using tools like Matplotlib, Seaborn, Tableau, or Power BI.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences in a remote setting.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) is desirable.
• A proactive approach to identifying and solving challenging data-related problems.