93 Research Skills jobs in Indonesia
Market Research Support
Posted today
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Job Description
Kami sedang mencari kandidat yang tepat untuk posisi Market Research Support di PT Mitracomm Ekasarana, perusahaan teknologi informasi dan komunikasi di South Tangerang, Banten. Dalam peran ini, Anda akan bertanggung jawab untuk mengumpulkan, menganalisis, dan memperbarui data harga produk, informasi harga di pasaran, discount dan promosi kompetitor, serta memastikan integritas data agar dapat digunakan untuk memenuhi kebutuhan bisnis.
Tanggung Jawab Utama
- Mengembangkan dan mengelola proses scraping data dengan kompetitor
- Memvalidasi dan membersihkan data harga yang dikumpulkan untuk memastikan akurasi dan konsistensi
- Menganalisis data harga dan membuat laporan analisis berkala untuk mendukung pengambilan keputusan bisnis
- Memperbarui database harga secara teratur dan memastikan ketersediaan data terkini
- Berkoordinasi dengan tim lain untuk memahami kebutuhan bisnis dan mengembangkan solusi yang sesuai
Kualifikasi dan Pengalaman:
- Pendidikan minimal D4/S1 semua jurusan.
- Memiliki pengalaman minimal 2 tahun dalam pengumpulan dan pengelolaan data, seperti Data Scraping, Price Monitoring, Pricing Staff, Market Research, Market Research Support dan sejenisnya.
- Kemampuan analitis yang kuat dan pengetahuan tentang teknik visualisasi data
- Pengalaman dalam pemeliharaan dan manajemen big database
- Keterampilan komunikasi yang baik dan kemampuan untuk berkolaborasi dengan tim lintas fungsi
- Detail-oriented, analisis yang kuat, dan problem-solving skills.
- Proficient in EXCEL & Google Sheet, dan English skills (Introduction & Casual Convo)
Scientific Research Assistant
Posted 6 days ago
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Key Responsibilities:
- 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.
Remote Scientific Research Assistant (Genomics)
Posted 7 days ago
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Job Description
Responsibilities:
- 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.
Senior Scientific Research Analyst
Posted 7 days ago
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Job Description
Responsibilities:
- 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.
Senior Scientific Research Associate
Posted 8 days ago
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Job Description
Responsibilities:
- 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.
Principal Data Scientist (Scientific Research)
Posted 7 days ago
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Job Description
Responsibilities:
- 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.
Qualifications:
- 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.
Senior Data Scientist - Scientific Research
Posted 8 days ago
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Job Description
Responsibilities:
- 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.
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Senior Scientific Research Lead - Biotechnology
Posted 8 days ago
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Lead Scientific Research Scientist (Biotechnology)
Posted 8 days ago
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Job Description
Key Responsibilities:
- Lead and manage research projects in the field of biotechnology, from conception to completion.
- Design, develop, and execute complex experimental protocols and methodologies.
- Collect, analyze, and interpret experimental data using advanced statistical and computational tools.
- Troubleshoot experimental issues and develop innovative solutions.
- Stay abreast of the latest scientific advancements and literature in biotechnology and related fields.
- Prepare and present research findings at scientific conferences and in peer-reviewed publications.
- Collaborate with cross-functional teams, including other scientists, engineers, and project managers.
- Mentor and guide junior researchers and laboratory technicians.
- Contribute to grant writing and securing research funding.
- Ensure adherence to all laboratory safety protocols and ethical guidelines.
- Maintain detailed and accurate laboratory notebooks and records.
- Contribute to intellectual property generation and patent applications.
- Develop new research strategies and proposals for future projects.
Qualifications:
- Ph.D. in Biotechnology, Molecular Biology, Genetics, Biochemistry, or a closely related field.
- A minimum of 7 years of post-doctoral research experience in an academic or industrial setting.
- Demonstrated experience leading research projects and managing scientific teams.
- Extensive knowledge of modern molecular biology techniques, cell culture, protein expression, and analysis.
- Proficiency in bioinformatics tools and data analysis software.
- Strong publication record in high-impact scientific journals.
- Excellent written and verbal communication skills, with the ability to present complex scientific information clearly.
- Proven ability to think critically, solve problems, and work independently in a remote environment.
- Experience with (mention a specific relevant technique or area, e.g., CRISPR technology, gene editing, protein engineering) is highly desirable.
- Grant writing experience is a significant plus.
Senior Data Scientist (Scientific Research)
Posted 8 days ago
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Job Description
- Design and implement advanced statistical models and machine learning algorithms to analyze complex scientific data.
- Develop predictive models and forecasting tools for research applications.
- Clean, process, and transform large, complex datasets from various sources.
- Perform rigorous statistical analysis and hypothesis testing to validate research findings.
- Visualize data and communicate complex results effectively to researchers and stakeholders.
- Collaborate with scientific teams to define research questions and data analysis strategies.
- Develop and maintain data pipelines and analytical workflows.
- Stay abreast of the latest advancements in data science, machine learning, and scientific computing.
- Mentor junior data scientists and contribute to knowledge sharing within the research community.
- Identify opportunities for leveraging data science to accelerate scientific discovery.
- Ph.D. or Master's degree in a quantitative field such as Statistics, Computer Science, Physics, Mathematics, Bioinformatics, or a related scientific discipline.
- Minimum of 6 years of experience as a Data Scientist, with a strong focus on scientific research applications.
- Proven expertise in statistical modeling, machine learning techniques (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) or R.
- Experience with big data technologies (e.g., Spark, Hadoop) and database management.
- Strong understanding of scientific research methodologies and principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Ability to work independently and collaboratively in a remote research environment.