6,052 Life Science jobs in Indonesia

Our Account Manager is expected to work closely with the respective Key Account Managers and play a strategic role in managing high impact opportunities within the sales channel vertical.

The success of this role will rely largely on your ability to maintain key relationships, and lead the execution of critical processes within the sales process.

This role is based in Surabaya.

Job Description

We are the makers of possible

BD is one of the largest global medical technology companies in the world. Advancing the world of health is our Purpose, and it's no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.

Why Join Us?

A career at BD means learning and working alongside inspirational leaders and colleagues who are equally passionate and committed to fostering an inclusive, growth-centered, and rewarding culture. You will have the opportunity to help shape the trajectory of BD while leaving a legacy at the same time.

To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of health. At BD, you'll discover a culture in which you can learn, grow and thrive. And find satisfaction in doing your part to make the world a better place.

Become a maker of possible with us

Main Responsibilities

Maintain Strategic Relationships with Our Key Customer Accounts

• Proactively engage with existing customers to maintain strategic relationships
• Anticipate potential service problems and actively work towards addressing them
• Consolidate related data on customersatisfaction to drive better solutioning and recommendations
• Actively seek to understand the assigned account's strategic priorities and developing appropriate value-added programs for them with a focus on holistic solution selling (i.e., packaging complementary products across business units as a holistic solution)

Ongoing Fulfillment and Delivery

• Accountable for the regular order-taking,fulfilment,and delivery post-conversion for assigned accounts
• Provide valuable insights on development of sales strategies to better meet customer needs prioritising a shift to holistic solution selling

Manage Distributor Performance

• Cultivate and build strategic relationships across a network of distributors to ensure fulfilment of customer orders
• Provide functional leadership to distributor salesforce teams in day-to-day demand generation
• Train and motivate distributor salesforce teams

Provide Insights on Sales Landscape and Forecast

• Provide valuable insights to sales forecasts as inputs into the overall demand planning and the Sales, Inventory and Operations Planning (SIOP) processes
• Analyse sales and industry trends and make appropriate recommendations to the KAM in an effort to ensure long-range planning needs pertaining to one's area of responsibility are met

Job Requirements

• The ideal candidate must have a Bachelor Degree in Medical Technology, Life Science, Biomedical or related field.
• At least 2 years of sales & application experience in Medical Tech and/or Laboratory equipments.
• Valid driver license and own vehicle is mandatory.
• The role will be based in Surabaya.

Click on apply if this sounds like you

Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.

To learn more about BD visit:

Required Skills

Optional Skills

.

Primary Work Location

IDN Jakarta - Sudirman Square Office Towers

Additional Locations

Work Shift

Job Description Summary

Our Account Manager is expected to work closely with the respective Key Account Managers and play a strategic role in managing high impact opportunities within the sales channel vertical.

The success of this role will rely largely on your ability to maintain key relationships, and lead the execution of critical processes within the sales process.

This role is based in Yogyakarta.

Job Description

We are the makers of possible

BD is one of the largest global medical technology companies in the world. Advancing the world of health is our Purpose, and it's no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.

Why Join Us?

A career at BD means learning and working alongside inspirational leaders and colleagues who are equally passionate and committed to fostering an inclusive, growth-centered, and rewarding culture. You will have the opportunity to help shape the trajectory of BD while leaving a legacy at the same time.

To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of health. At BD, you'll discover a culture in which you can learn, grow and thrive. And find satisfaction in doing your part to make the world a better place.

Become a maker of possible with us

Main Responsibilities

Maintain Strategic Relationships with Our Key Customer Accounts

• Proactively engage with existing customers to maintain strategic relationships
• Anticipate potential service problems and actively work towards addressing them
• Consolidate related data on customer satisfaction to drive better solutioning and recommendations
• Actively seek to understand the assigned account's strategic priorities and developing appropriate value-added programs for them with a focus on holistic solution selling (i.e., packaging complementary products across business units as a holistic solution)

Ongoing Fulfillment and Delivery

• Accountable for the regular order-taking, fulfilment, and delivery post-conversion for assigned accounts
• Provide valuable insights on development of sales strategies to better meet customer needs prioritising a shift to holistic solution selling

Manage Distributor Performance

• Cultivate and build strategic relationships across a network of distributors to ensure fulfilment of customer orders
• Provide functional leadership to distributor salesforce teams in day-to-day demand generation
• Train and motivate distributor salesforce teams

Provide Insights on Sales Landscape and Forecast

• Provide valuable insights to sales forecasts as inputs into the overall demand planning and the Sales, Inventory and Operations Planning (SIOP) processes
• Analyse sales and industry trends and make appropriate recommendations to the KAM in an effort to ensure long-range planning needs pertaining to one's area of responsibility are met

Job Requirements

• The ideal candidate must have a Bachelor Degree in Medical Technology, Life Science, Biomedical or related field.
• At least 2 years of sales & application experience in Medical Tech and/or Laboratory equipments.
• Valid driver license and own vehicle is mandatory.
• The role will be based in Yogyakarta.

Click on apply if this sounds like you

Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.

To learn more about BD visit:

Required Skills

Optional Skills

.

Primary Work Location

IDN Jakarta - Sudirman Square Office Towers

Additional Locations

Work Shift

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.