319 Scientists jobs in India
Data Scientists
Posted today
Job Viewed
Job Description
Description
Key Responsibilities
AI/ML Development & Research
• Design, develop, and deploy advanced machine learning and deep learning models for complex business problems
• Implement and optimize Large Language Models (LLMs) and Generative AI solutions
• Build agentic AI systems with autonomous decision-making capabilities
• Conduct research on emerging AI technologies and their practical applications
• Perform model evaluation, validation, and continuous improvement
Cloud Infrastructure & Full-Stack Development
• Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP
• Develop full-stack applications integrating AI models with modern web technologies
• Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
• Implement CI/CD pipelines for ML model deployment and monitoring
• Design and optimize cloud infrastructure for high-performance computing workloads
Data Engineering & Database Management
• Design and implement data pipelines for large-scale data processing
• Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
• Optimize database performance for ML workloads and real-time applications
• Implement data governance and quality assurance frameworks
• Handle streaming data processing and real-time analytics
Leadership & Collaboration
• Mentor junior data scientists and guide technical decision-making
• Collaborate with cross-functional teams including product, engineering, and business stakeholders
• Present findings and recommendations to technical and non-technical audiences
• Lead proof-of-concept projects and innovation initiatives
Required Qualifications
Education & Experience
• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field
• 5+ years of hands-on experience in data science and machine learning
• 3+ years of experience with deep learning frameworks and neural networks
• 2+ years of experience with cloud platforms and full-stack development
Technical Skills - Core AI/ML
• Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms
• Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers
• Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering
• Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation
• Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents
Technical Skills - Development & Infrastructure
• Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
• Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI
• Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)
• Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes
• MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks
• Big Data: Spark, Hadoop, Kafka, streaming data processing
Preferred Qualifications
• Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma)
• Knowledge of LangChain, LlamaIndex, or similar LLM frameworks
• Experience with model compression and edge deployment
• Familiarity with distributed computing and parallel processing
• Experience with computer vision and NLP applications
• Knowledge of federated learning and privacy-preserving ML
• Experience with quantum machine learning
• Expertise in MLOps and production ML system design
Key Competencies
Technical Excellence
• Strong mathematical foundation in statistics, linear algebra, and optimization
• Ability to implement algorithms from research papers
• Experience with model interpretability and explainable AI
• Knowledge of ethical AI and bias detection/mitigation
Problem-Solving & Innovation
• Strong analytical and critical thinking skills
• Ability to translate business requirements into technical solutions
• Creative approach to solving complex, ambiguous problems
• Experience with rapid prototyping and experimentation
Communication & Leadership
• Excellent written and verbal communication skills
• Ability to explain complex technical concepts to diverse audiences
• Strong project management and organizational skills
• Experience mentoring and leading technical teams
How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.We invite you to explore all TaskUs career opportunities and apply through the provided URL.
Data Scientists
Posted today
Job Viewed
Job Description
Description
Key Responsibilities
AI/ML Development & Research
• Design, develop, and deploy advanced machine learning and deep learning models for complex business problems
• Implement and optimize Large Language Models (LLMs) and Generative AI solutions
• Build agentic AI systems with autonomous decision-making capabilities
• Conduct research on emerging AI technologies and their practical applications
• Perform model evaluation, validation, and continuous improvement
Cloud Infrastructure & Full-Stack Development
• Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP
• Develop full-stack applications integrating AI models with modern web technologies
• Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
• Implement CI/CD pipelines for ML model deployment and monitoring
• Design and optimize cloud infrastructure for high-performance computing workloads
Data Engineering & Database Management
• Design and implement data pipelines for large-scale data processing
• Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
• Optimize database performance for ML workloads and real-time applications
• Implement data governance and quality assurance frameworks
• Handle streaming data processing and real-time analytics
Leadership & Collaboration
• Mentor junior data scientists and guide technical decision-making
• Collaborate with cross-functional teams including product, engineering, and business stakeholders
• Present findings and recommendations to technical and non-technical audiences
• Lead proof-of-concept projects and innovation initiatives
Required Qualifications
Education & Experience
• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field
• 5+ years of hands-on experience in data science and machine learning
• 3+ years of experience with deep learning frameworks and neural networks
• 2+ years of experience with cloud platforms and full-stack development
Technical Skills - Core AI/ML
• Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms
• Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers
• Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering
• Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation
• Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents
Technical Skills - Development & Infrastructure
• Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
• Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI
• Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)
• Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes
• MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks
• Big Data: Spark, Hadoop, Kafka, streaming data processing
Preferred Qualifications
• Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma)
• Knowledge of LangChain, LlamaIndex, or similar LLM frameworks
• Experience with model compression and edge deployment
• Familiarity with distributed computing and parallel processing
• Experience with computer vision and NLP applications
• Knowledge of federated learning and privacy-preserving ML
• Experience with quantum machine learning
• Expertise in MLOps and production ML system design
Key Competencies
Technical Excellence
• Strong mathematical foundation in statistics, linear algebra, and optimization
• Ability to implement algorithms from research papers
• Experience with model interpretability and explainable AI
• Knowledge of ethical AI and bias detection/mitigation
Problem-Solving & Innovation
• Strong analytical and critical thinking skills
• Ability to translate business requirements into technical solutions
• Creative approach to solving complex, ambiguous problems
• Experience with rapid prototyping and experimentation
Communication & Leadership
• Excellent written and verbal communication skills
• Ability to explain complex technical concepts to diverse audiences
• Strong project management and organizational skills
• Experience mentoring and leading technical teams
How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.We invite you to explore all TaskUs career opportunities and apply through the provided URL.
Data Scientists
Posted today
Job Viewed
Job Description
Description
Key Responsibilities
AI/ML Development & Research
• Design, develop, and deploy advanced machine learning and deep learning models for complex business problems
• Implement and optimize Large Language Models (LLMs) and Generative AI solutions
• Build agentic AI systems with autonomous decision-making capabilities
• Conduct research on emerging AI technologies and their practical applications
• Perform model evaluation, validation, and continuous improvement
Cloud Infrastructure & Full-Stack Development
• Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP
• Develop full-stack applications integrating AI models with modern web technologies
• Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
• Implement CI/CD pipelines for ML model deployment and monitoring
• Design and optimize cloud infrastructure for high-performance computing workloads
Data Engineering & Database Management
• Design and implement data pipelines for large-scale data processing
• Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
• Optimize database performance for ML workloads and real-time applications
• Implement data governance and quality assurance frameworks
• Handle streaming data processing and real-time analytics
Leadership & Collaboration
• Mentor junior data scientists and guide technical decision-making
• Collaborate with cross-functional teams including product, engineering, and business stakeholders
• Present findings and recommendations to technical and non-technical audiences
• Lead proof-of-concept projects and innovation initiatives
Required Qualifications
Education & Experience
• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field
• 5+ years of hands-on experience in data science and machine learning
• 3+ years of experience with deep learning frameworks and neural networks
• 2+ years of experience with cloud platforms and full-stack development
Technical Skills - Core AI/ML
• Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms
• Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers
• Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering
• Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation
• Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents
Technical Skills - Development & Infrastructure
• Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
• Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI
• Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)
• Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes
• MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks
• Big Data: Spark, Hadoop, Kafka, streaming data processing
Preferred Qualifications
• Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma)
• Knowledge of LangChain, LlamaIndex, or similar LLM frameworks
• Experience with model compression and edge deployment
• Familiarity with distributed computing and parallel processing
• Experience with computer vision and NLP applications
• Knowledge of federated learning and privacy-preserving ML
• Experience with quantum machine learning
• Expertise in MLOps and production ML system design
Key Competencies
Technical Excellence
• Strong mathematical foundation in statistics, linear algebra, and optimization
• Ability to implement algorithms from research papers
• Experience with model interpretability and explainable AI
• Knowledge of ethical AI and bias detection/mitigation
Problem-Solving & Innovation
• Strong analytical and critical thinking skills
• Ability to translate business requirements into technical solutions
• Creative approach to solving complex, ambiguous problems
• Experience with rapid prototyping and experimentation
Communication & Leadership
• Excellent written and verbal communication skills
• Ability to explain complex technical concepts to diverse audiences
• Strong project management and organizational skills
• Experience mentoring and leading technical teams
How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.We invite you to explore all TaskUs career opportunities and apply through the provided URL.
Data Scientists
Posted today
Job Viewed
Job Description
Python, R, SQL,
predictive
modeling
Python, R, SQL,
predictive
modeling
Python, R, SQL,
predictive
modeling
Python, R, SQL,
predictive
modeling
Python, R, SQL,
predictive
modeling
Python, R, SQL,
predictive
modeling
Python, R, SQL,
predictive
modeling
Python, R, SQL,
predictive
modeling
Python, R, SQL,
predictive
modeling
Requirements
• Frontend Framework: Angular
• ervers : Tomcat, Jetty, JBoss, Nginx, Apache HTTP Server
• T ols : Maven, Log4j 2, JUnit 5, Mockito, Postman, Swagger,
JMeter, Logback
• O : Windows, Linux
• V rsion Control : Git, GitHub
• I E : Eclipse, STS, IntelliJ IDEA
• M ssaging Systems : Apache Kafka
• C oud : AWS, Azure
• D vOps Tools : Docker, Kubernetes, GitLab
• F ontend Framework: Angular
• S rvers : Tomcat, Jetty, JBoss, Nginx, Apache HTTP Server
• T ols : Maven, Log4j 2, JUnit 5, Mockito, Postman, Swagger,
JMeter, Logback
• O : Windows, Linux
• V rsion Control : Git, GitHub
• I E : Eclipse, STS, IntelliJ IDEA
• M ssaging Systems : Apache Kafka
• C oud : AWS, Azure
• D vOps Tools : Docker, Kubernetes, GitLab
Data Scientists
Posted today
Job Viewed
Job Description
Description
Key Responsibilities
AI/ML Development & Research
• Design, develop, and deploy advanced machine learning and deep learning models for complex business problems
• Implement and optimize Large Language Models (LLMs) and Generative AI solutions
• Build agentic AI systems with autonomous decision-making capabilities
• Conduct research on emerging AI technologies and their practical applications
• Perform model evaluation, validation, and continuous improvement
Cloud Infrastructure & Full-Stack Development
• Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP
• Develop full-stack applications integrating AI models with modern web technologies
• Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
• Implement CI/CD pipelines for ML model deployment and monitoring
• Design and optimize cloud infrastructure for high-performance computing workloads
Data Engineering & Database Management
• Design and implement data pipelines for large-scale data processing
• Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
• Optimize database performance for ML workloads and real-time applications
• Implement data governance and quality assurance frameworks
• Handle streaming data processing and real-time analytics
Leadership & Collaboration
• Mentor junior data scientists and guide technical decision-making
• Collaborate with cross-functional teams including product, engineering, and business stakeholders
• Present findings and recommendations to technical and non-technical audiences
• Lead proof-of-concept projects and innovation initiatives
Required Qualifications
Education & Experience
• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field
• 5+ years of hands-on experience in data science and machine learning
• 3+ years of experience with deep learning frameworks and neural networks
• 2+ years of experience with cloud platforms and full-stack development
Technical Skills - Core AI/ML
• Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms
• Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers
• Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering
• Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation
• Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents
Technical Skills - Development & Infrastructure
• Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
• Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI
• Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)
• Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes
• MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks
• Big Data: Spark, Hadoop, Kafka, streaming data processing
Preferred Qualifications
• Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma)
• Knowledge of LangChain, LlamaIndex, or similar LLM frameworks
• Experience with model compression and edge deployment
• Familiarity with distributed computing and parallel processing
• Experience with computer vision and NLP applications
• Knowledge of federated learning and privacy-preserving ML
• Experience with quantum machine learning
• Expertise in MLOps and production ML system design
Key Competencies
Technical Excellence
• Strong mathematical foundation in statistics, linear algebra, and optimization
• Ability to implement algorithms from research papers
• Experience with model interpretability and explainable AI
• Knowledge of ethical AI and bias detection/mitigation
Problem-Solving & Innovation
• Strong analytical and critical thinking skills
• Ability to translate business requirements into technical solutions
• Creative approach to solving complex, ambiguous problems
• Experience with rapid prototyping and experimentation
Communication & Leadership
• Excellent written and verbal communication skills
• Ability to explain complex technical concepts to diverse audiences
• Strong project management and organizational skills
• Experience mentoring and leading technical teams
How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.We invite you to explore all TaskUs career opportunities and apply through the provided URL.
Data Scientists
Posted today
Job Viewed
Job Description
To enable this, we rely on our team. And we are on a perpetual lookout of like-minded individuals who value relationships and see the workplace as an extension of their personal self aligning with the mission and vision that Xtage Labs has been founded upon. We are an equal opportunity employer, irrespective of gender, religion, ethnicity and race. As long as you bring a unique perspective to the work we do, we would love to hear from you.
We are always on the lookout for **Data Scientists**
We are always on the lookout for Data Scientists with following qualification:
- Has a very strong knowledge of statistics, especially Multiple Linear Regression
- Has worked on one or more Regression problems on the job
- Can work on both R and Python as per project requirement
- Is able to explain the projects he/she has worked on with a clear understanding of the business goals
- Experience of developing data stories on Tableau, R Shiny and/or Power BI
- Has good command over written and verbal communication in English
- Is confident and empathetic
- Is not afraid to ask questions
We believe a data scientist should have a strong foundation of statistics, should understand regression very well and should be able to express using R and Python. Ability to convey data science to non technical audience and excellent communication skills is non-negotiable.
For other positions, we hire on a need basis. If you are a data engineer, backend developer, front-end developer or any other professional - feel free to write to us. We will write back whenever we find you a fit in our scheme of things.
Data Scientists
Posted today
Job Viewed
Job Description
Design and implement generative AI models, including GANs, VAEs, and transformers, as well as large language models such as GPT, BERT, LLAMA and similar to create high quality synthetic data and other outputs.
Use cutting edge technologies to create a faster, more capable AI.
Preprocess and analyse large datasets to train and validate AI and LLM models.
Analyse statistics, data, and algorithms for projection accuracy.
Use AI analysis to make strategy recommendations that align with company goals.
Work with a team of machine learning and data engineers to ensure seamless AI development and integration.
Collaborate with software engineers to integrate AI models into production systems, ensuring scalability, reliability, and performance.
Collect, organize, and present progress with team leadership and stakeholders.
Maintain thorough documentation of models, experiments, and methodologies.
Qualifications:
Proficiency in programming languages such as Python, Java, or C++, with experience in libraries and frameworks for AI development.
Strong understanding of machine learning algorithms, deep learning architectures, and optimization techniques.
Hands-on experience with GANs, VAEs, transformers and LLMs such as GPT, BERT, LLAMA and similar with experience on TensorFlow, PyTorch, Keras, or Apache MXNet.
Familiarity with natural language processing libraries such as NLTK, spaCy, or Transformers.
Experience in computer vision tasks using frameworks like OpenCV, TensorFlow Object Detection API, or PyTorch Vision.
Familiarity with cloud platforms like AWS, GCP, or Azure.
Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
Effective communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
Demonstrated ability to manage multiple projects simultaneously and deliver high-quality results on time.
**About Virtusa**
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
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Data Scientists and Db Admins
Posted today
Job Viewed
Job Description
- Opening: - 2
- Data mining or extracting usable data from valuable data sources
- Using machine learning tools to select features, create and optimize classifiers
- Carrying out preprocessing of structured and unstructured data
- Enhancing data collection procedures to include all relevant information for developing analytic systems
- Processing, cleansing, and validating the integrity of data to be used for analysis
- Analyzing large amounts of information to find patterns and solutions
- Developing prediction systems and machine learning algorithms
- Presenting results in a clear manner
- Propose solutions and strategies to tackle business challenges
- Collaborate with Business and IT teams
**Job Types**: Full-time, Regular / Permanent
Schedule:
- Morning shift
**Education**:
- Bachelor's (preferred)
**Experience**:
- Python: 2 years (preferred)
- total work: 2 years (preferred)
Biological Scientists for Expression of Interest
Posted today
Job Viewed
Job Description
At MACRO Recruitment, we are a trusted provider of biological science services to the Defence Science and Technology Group (DSTG), supporting Australia's national defence and security capabilities.
Our work spans exciting and impactful projects in areas such as genomics, biotechnology, bioinformatics, and biological detection and diagnostics.
We are always on the lookout for talented Biological Scientists, Lab Technicians, and Biotech Specialists to join our talent pool for future opportunities.
About DSTG and Our Work
DSTG's Fishermans Bend facility in Melbourne is a world-class research hub for critical defence innovation, including biological and chemical sciences.
Key focus areas include:
- Chemical, Biological, Radiological, and Nuclear (CBRN) Defence
- Aerosol Defence Research (protection against dermal and respiratory hazards)
- Bioterrorism Preparedness and Epidemic Modelling
- Radiological and Nuclear Defence Research
As a partner to DSTG, MACRO Recruitment delivers critical biological science services that support their research and development efforts.
Key Services We Deliver
As a biological science professional working with us, you could contribute to projects involving:
- Genomics services and bioinformatics.Biological sampling, culturing, analysis, and maintenance.
- Molecular biology and biotechnology (design, synthesis, and evaluation).
- Development of vaccines, therapeutics, and diagnostics.
- Sample preparation, experimental design, deployment, monitoring, and retrieval.
- Biological instrumentation development, calibration, and safety compliance.
- Analytical services, measurement, and characterization of biological studies.
- Equipment, assay, and software development for biological detection and diagnostics.
Who We’re Looking For
We’re building a network of skilled professionals with:
- Tertiary qualifications in biology, biotechnology, molecular biology, or related fields.
- Experience in technical and/or management roles delivering biological science services.
- Familiarity with Australian and International Standards, regulations, and Defence requirements.
- A proactive and collaborative mindset, with excellent attention to detail and problem-solving skills.
Why Register With MACRO Recruitment?
- Contribute to cutting-edge defence research supporting Australia’s national security.
- Gain access to opportunities at world-class facilities like DSTG Fishermans Bend.
- Work on innovative projects in a collaborative and multidisciplinary environment.
- Flexible employment opportunities (fixed term part-time, and casual roles).
- Be the first to hear about new vacancies as they arise through MACRO Recruitment.
Register Your Interest Today
If you’re a Biological Scientist, Technician, or Specialist with a passion for innovation and a desire to contribute to national defence projects, we encourage you to join our talent pool.
Data Scientists (Data Governance Rule, Lims)
Posted today
Job Viewed
Job Description
**Location: Navi Mumbai**
**Experience: 5 years**
**Experience**
- **MSc in data science, applied mathematics, computer science, data engineering or software engineering.**
- Advanced skills and **experience in experimental data analysis: statistical method validation, design of experiments, unsupervised learning, statistical modeling.**
- Good knowledge in **physics and chemistry, and a marked interest to work on scientific topics.**
- Proven ability to work with and, ideally, **develop data engineering systems: automated data flows (ETLs), data warehousing. Prior experience with IT system administration would be a plus.**
- A strong taste to work in multidisciplinary teams and projects. A proven ability to communicate clearly in international teams.
- Experience **working on LIMS software** - Laboratory Information Management System (LIMS)
- **Knowledge of Python** is a plus
- Experience on visual analytics tool such as **Spotfire** is required
Work Location: In person