355 Research Data jobs in India

Role Summary

We are looking for a high-impact Senior Manager of B2B Sales to drive the revenue and growth of our specialized Research Products and Services division. This role requires a proven commercial leader focused on hands-on sales execution, selling complex market intelligence, industry research reports, and specialized KPO/data services to senior-level executives.

Key Requirements

• Experience:  4 to 8 years of B2B sales success, with significant experience in the Market Intelligence, Industry Research, Online Databases,  or KPO/Data Services  sectors.
• Education:  Graduate degree required. Postgraduate qualification (MBA or PGDM) is an added advantage.

Core Responsibilities

As a key commercial driver in this division, your primary responsibilities will cover three key areas:

1. Strategic Execution & GTM Planning

• Drive Strategy:  Oversee the end-to-end Go-to-Market (GTM) strategy, including research report planning, multi-channel marketing development, and promotional material creation (brochures, decks).
• Mentorship & Process:  Provide guidance and support to junior sales staff on best practices, deal structuring, and market positioning.

2. Revenue Generation & Key Account Management

• Executive Engagement:  Directly engage and build rapport with C-level executives and senior decision-makers  within client organizations to secure large, complex contracts.
• Deal Closure:  Take ownership of the full sales cycle for multi-product and multi-service deals, driving negotiation and successful closure.
• Client Relationship Management:  Cultivate, strengthen, and manage relationships with existing key accounts, proactively identifying and capitalizing on upselling and cross-selling opportunities  within the research and data portfolio.

3. Performance & Growth

• Target Achievement:  Be directly accountable for achieving and exceeding ambitious, aggressive annual and quarterly sales quotas.
• Market Analysis:  Utilize a strong understanding of market dynamics to map competitive landscapes and identify new revenue opportunities across sectors.

Candidate Profile & Essential Skills

This is a results-driven position requiring a blend of leadership, commercial acumen, and execution capabilities.

• Proven Sales Track Record:  Demonstrated ability to consistently meet or exceed sales targets and secure challenging, high-value accounts.
• Communication Excellence:  Exceptional written and verbal command of English, necessary for professional business communication, proposal writing, and senior-level presentations.
• Motivational Leadership:  Capacity to lead from the front, set a positive example, and effectively influence team performance and morale.
• Commercial Proficiency:  Expert-level knowledge of the B2B sales process and funnel management.
• Operational Skills:  High self-motivation, meticulous attention to detail, superior time management, and the ability to thrive and deliver results under pressure.
• Technology Fluency:  Proficiency in presentation software (PowerPoint, Google Slides, etc.), Excel, and CRM tools.

Compensation & Application

We are committed to providing best-in-industry compensation  for top talent. The package includes a competitive base salary, an attractive performance-based incentive plan, Provident Fund (PF), medical insurance, and gratuity.

Our client is at the forefront of technological innovation and is seeking a highly accomplished Senior Research Scientist specializing in Data Science and Artificial Intelligence to join their world-class, fully remote research team. This role is designed for an individual with a passion for pushing the boundaries of AI and machine learning, developing novel algorithms, and contributing to groundbreaking research projects. You will work on complex problems, leveraging massive datasets and state-of-the-art techniques to drive scientific discovery and develop intelligent systems. As a remote employee, you will collaborate seamlessly with a global team of leading researchers and engineers, contributing your expertise from anywhere in India.

Key Responsibilities:

• Design, develop, and implement advanced machine learning models and algorithms for various applications.
• Conduct cutting-edge research in areas such as deep learning, natural language processing, computer vision, or reinforcement learning.
• Analyze large, complex datasets to extract meaningful insights and identify trends.
• Develop and deploy scalable AI solutions in production environments.
• Collaborate with other researchers and engineers to define research objectives and methodologies.
• Stay abreast of the latest academic research and industry advancements in AI and machine learning.
• Publish research findings in top-tier conferences and journals.
• Mentor junior scientists and contribute to the team's overall technical growth.
• Develop prototypes and proof-of-concepts to demonstrate novel approaches.
• Contribute to the intellectual property portfolio of the company through invention disclosures and patents.

Qualifications:

• Ph.D. in Computer Science, Statistics, Machine Learning, or a related quantitative field.
• Minimum of 5 years of research experience in Data Science and AI/ML, post-Ph.D.
• Proven track record of publishing in leading AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) or top journals.
• Deep theoretical understanding and practical experience with various ML algorithms, including deep learning frameworks (e.g., TensorFlow, PyTorch).
• Expertise in at least one of the following areas: NLP, Computer Vision, Reinforcement Learning, or Graph Neural Networks.
• Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, Pandas, Scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, essential for effective remote teamwork.
• Ability to work independently and drive research projects from conception to completion.

This fully remote position, supporting a key research initiative for our client with connections to **Patna, Bihar, IN**, offers an unparalleled opportunity for impactful research.

Our client is seeking a highly skilled Senior Research Scientist specializing in Data Analysis to join their innovative research and development team in Mumbai, Maharashtra . This pivotal role involves leveraging advanced statistical methods and machine learning techniques to extract meaningful insights from complex datasets, driving scientific discovery and informing strategic decisions. The ideal candidate will possess a strong quantitative background, extensive experience in statistical modeling, data mining, and visualization, along with a proven ability to translate data findings into actionable recommendations. You will be responsible for designing and implementing data analysis strategies, developing predictive models, and evaluating the performance of algorithms. Key responsibilities include collaborating with cross-functional teams of scientists and engineers, interpreting research outcomes, and preparing comprehensive reports and presentations for both technical and non-technical audiences. Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis tools are essential. We are looking for an individual with a keen eye for detail, a passion for uncovering patterns, and the ability to communicate complex analytical results clearly and concisely. This is an excellent opportunity to contribute to cutting-edge research and development in a dynamic and intellectually stimulating environment, working with a diverse range of scientific challenges. Your expertise in deriving insights from data will be crucial in shaping future research directions and product development.
Responsibilities:

• Design and implement sophisticated data analysis methodologies.
• Develop and validate statistical models and machine learning algorithms.
• Perform data mining, pattern recognition, and predictive analytics.
• Clean, process, and transform large datasets.
• Create compelling data visualizations to communicate findings.
• Collaborate with research teams to define analytical objectives.
• Interpret research results and provide data-driven recommendations.
• Prepare technical reports and presentations for stakeholders.
• Stay abreast of the latest advancements in data science and statistical techniques.
• Mentor junior data analysts and contribute to knowledge sharing.

Qualifications:

• Ph.D. or Master's degree in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in data analysis and statistical modeling.
• Proficiency in programming languages like Python or R, and relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
• Experience with database querying (SQL) and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of statistical principles, machine learning techniques, and experimental design.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective communication and presentation skills.
• Ability to work independently and collaboratively in a team environment.

**Join Amgen's Mission of Serving Patients**
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**(Associate Data Engineer)**
**What you will do**
Let's do this. Let's change the world. In this vital role you will design, build and maintain data lake solutions for scientific data that drive business decisions for Research. You will build scalable and high-performance data engineering solutions for large scientific datasets and collaborate with Research stakeholders. The ideal candidate possesses experience in the pharmaceutical or biotech industry, demonstrates strong technical skills, has experience with big data technologies, and understands data architecture and ETL processes
+ Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions
+ Contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks
+ Contribute to data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency
+ Optimize large datasets for query performance
+ Collaborate with global cross-functional teams including research scientists to understand data requirements and design solutions that meet business needs
+ Implement data security and privacy measures to protect sensitive data
+ Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
+ Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
+ Identify and resolve data-related challenges
+ Adhere to best practices for coding, testing, and designing reusable code/component
+ Explore new tools and technologies that will help to improve ETL platform performance
+ Participate in sprint planning meetings and provide estimations on technical implementation
+ Maintain documentation of processes, systems, and solutions
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Bachelor's degree and 0 to 3 years of Computer Science, IT or related field experience OR
+ Diploma and 4 to 7 years of Computer Science, IT or related field experience
**Preferred Qualifications:**
+ 1+ years of experience in implementing and supporting biopharma scientific research data analytics (software platforms)
**Functional Skills:**
**Must-Have Skills:**
+ Proficiency in SQL and Python for data engineering, test automation frameworks (pytest), and scripting tasks
+ Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
+ Excellent problem-solving skills and the ability to work with large, complex datasets
**Good-to-Have Skills:**
+ A passion for tackling complex challenges in drug discovery with technology and data
+ Strong understanding of data modeling, data warehousing, and data integration concepts
+ Strong experience using RDBMS (e.g. Oracle, MySQL, SQL server, PostgreSQL)
+ Knowledge of cloud data platforms (AWS preferred)
+ Experience with data visualization tools (e.g. Dash, Plotly, Spotfire)
+ Experience with diagramming and collaboration tools such as Miro, Lucidchart or similar tools for process mapping and brainstorming
+ Experience writing and maintaining technical documentation in Confluence
**Professional Certifications:**
+ Databricks Certified Data Engineer Professional preferred
**Soft Skills:**
+ Excellent critical-thinking and problem-solving skills
+ Strong communication and collaboration skills
+ Demonstrated awareness of how to function in a team setting
+ Demonstrated presentation skills
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

**Join Amgen's Mission of Serving Patients**
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**What you will do**
Let's do this. Let's change the world. In this vital role you will primarily focus on analyzing scientific requirements from Global Research and translating them into efficient and effective information systems solutions. As a domain expert, the prospective BA collaborate with cross-functional teams to identify data product enhancement opportunities, perform data analysis, troubleshoot issues, and support system implementation and maintenance. Additionally, it will involve development of data product launch and user adoption strategy of Amgen Research Foundational Data Systems. Your expertise in business process analysis and technology will contribute to the successful delivery of IT solutions that drive operational efficiency and meet business objectives.
This role requires expertise in biopharma scientific domains as well as informatics solution delivery. Additionally, extensive collaboration with global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a solid background in the end-to-end software development lifecycle and be a Scaled Agile practitioner, coupled with change management and transformation experience. This role demands the ability to deliver against key organizational central initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure.
+ Collaborate with geographically dispersed teams, including those in the US, EU and other international locations.
+ Partner and ensure alignment of the Amgen India DTI site leadership and follow global standards and practices.
+ Foster a culture of collaboration, innovation, and continuous improvement.
+ Function as a Scientific Business Analyst, providing domain expertise for Research Data and Analytics within a Scaled Agile Framework (SAFe) product team
+ Serve as Agile team scrum master or project manager as needed
+ Create functional analytics dashboards and fit-for-purposes applications for quantitative research, scientific analysis and business intelligence (Databricks, Spotfire, Tableau, Dash, Streamlit, RShiny)
+ Support a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations
+ Translate scientific and technological needs into clear, actionable requirements for development teams
+ Develop and maintain release deliverables that clearly outlines the planned features and enhancements, timelines, and milestones
+ Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance
+ Develop documentations, communication plans and training plans for end users
+ Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities
+ Ensure operational excellence, cybersecurity and compliance.
**What we expect of you**
+ Master's degree and 1 to 3 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR
+ Bachelor's degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR
+ Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/Information Systems experience.
**Basic Qualifications:**
+ 3+ years of experience in implementing and supporting biopharma scientific research data analytics
+ Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with data
+ Collaborative spirit and effective communication skills to work seamlessly in a multi-functional team
+ An ongoing commitment to learning and staying at the forefront of AI/ML advancements.
+ Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Streamlit, RShiny, Spotfire, Tableau and related programming languages like SQL, python, R
**Preferred Qualifications:**
+ Demonstrated expertise in a scientific domain area and related technology needs
+ Understanding of semantics and FAIR (Findability, Accessibility Interoperability and Reuse) data concepts
+ Experience with cloud (e.g. AWS) and on-premise compute infrastructure
+ Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects
+ Experience creating impactful slide decks and communicating data
+ Ability to deliver features meeting research user demands using Agile methodology
+ We understand that to successfully sustain and grow as a global enterprise and deliver for patients - we must ensure a diverse and inclusive work environment.
**Professional Certifications**
+ SAFe for Teams certification (preferred)
+ SAFe Scrum Master or similar (preferred)
**Soft Skills:**
+ Strong transformation and change management experience.
+ Exceptional collaboration and communication skills.
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
+ Team-oriented with a focus on achieving team goals.
+ Strong presentation and public speaking skills.
**Equal opportunity statement**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

**Join Amgen's Mission of Serving Patients**
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Sr Semantic Engineer - Research Data and Analytics
**What you will do**
Let's do this. Let's change the world. In this vital role you will be part of Research's Semantic Graph Team is seeking a dedicated and skilled Semantic Data Engineer to build and optimize knowledge graph-based software and data resources. This role primarily focuses on working with technologies such as RDF, SPARQL, and Python. In addition, the position involves semantic data integration and cloud-based data engineering.
The ideal candidate should possess experience in the pharmaceutical or biotech industry, demonstrate deep technical skills, and be proficient with big data technologies and demonstrate experience in semantic modeling. A deep understanding of data architecture and ETL processes is also essential for this role.
In this role, you will be responsible for constructing semantic data pipelines, integrating both relational and graph-based data sources, ensuring seamless data interoperability, and leveraging cloud platforms to scale data solutions effectively.
**Roles & Responsibilities:**
+ Develop and maintain semantic data pipelines using Python, RDF, SPARQL, and linked data technologies.
+ Develop and maintain semantic data models for biopharma scientific data
+ Integrate relational databases (SQL, PostgreSQL, MySQL, Oracle, etc.) with semantic frameworks.
+ Ensure interoperability across federated data sources, linking relational and graph-based data.
+ Implement and optimize CI/CD pipelines using GitLab and AWS.
+ Leverage cloud services (AWS Lambda, S3, Databricks, etc.) to support scalable knowledge graph solutions.
+ Collaborate with global multi-functional teams, including research scientists, Data Architects, Business SMEs, Software Engineers, and Data Scientists to understand data requirements, design solutions, and develop end-to-end data pipelines to meet fast-paced business needs across geographic regions.
+ Collaborate with data scientists, engineers, and domain experts to improve research data accessibility.
+ Adhere to standard processes for coding, testing, and designing reusable code/components.
+ Explore new tools and technologies to improve ETL platform performance.
+ Participate in sprint planning meetings and provide estimations on technical implementation.
+ Maintain comprehensive documentation of processes, systems, and solutions.
+ Harmonize research data to appropriate taxonomies, ontologies, and controlled vocabularies for context and reference knowledge.
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications and Experience:**
+ Doctorate Degree OR Master's degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR
+ Bachelor's degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR
+ Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field
**Preferred Qualifications and Experience:**
+ 6+ years of experience in designing and supporting biopharma scientific research data analytics (software platforms)
**Functional Skills:**
**Must-Have Skills:**
+ Advanced Semantic and Relational Data Skills: Proficiency in Python, RDF, SPARQL, Graph Databases (e.g. Allegrograph), SQL, relational databases, ETL pipelines, big data technologies (e.g. Databricks), semantic data standards (OWL, W3C, FAIR principles), ontology development and semantic modeling practices.
+ Cloud and Automation Expertise: Good experience in using cloud platforms (preferably AWS) for data engineering, along with Python for automation, data federation techniques, and model-driven architecture for scalable solutions.
+ Technical Problem-Solving: Excellent problem-solving skills with hands-on experience in test automation frameworks (pytest), scripting tasks, and handling large, complex datasets.
**Good-to-Have Skills:**
+ Experience in biotech/drug discovery data engineering
+ Experience applying knowledge graphs, taxonomy and ontology concepts in life sciences and chemistry domains
+ Experience with graph databases (Allegrograph, Neo4j, GraphDB, Amazon Neptune)
+ Familiarity with Cypher, GraphQL, or other graph query languages
+ Experience with big data tools (e.g. Databricks)
+ Experience in biomedical or life sciences research data management
**Soft Skills:**
+ Excellent critical-thinking and problem-solving skills
+ Good communication and collaboration skills
+ Demonstrated awareness of how to function in a team setting
+ Demonstrated presentation skills
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Join Amgen's Mission of Serving Patients
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Manager Software Engineering**
**What you will do**
Let's do this. Let's change the world. We are seeking a Manager - Software Engineering to lead the design and development of software data and analytics applications to drive business decisions for Research. The ideal candidate possesses a deep understanding of software engineering principles, coupled with strong leadership and problem-solving skills. This position requires close collaboration with business analysts, scientists, and other engineers to create high-quality, scalable software solutions. You will continuously strive for innovation in the technologies and practices used for software engineering and develop a team of expert software engineers. You will collaborate with multi-functional teams, including, platform, functional IT, and business collaborators, to ensure that the solutions that are built align with business goals and are scalable, secure, and efficient.
Roles & Responsibilities:
+ Talent Growth & People Leadership: Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation. Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship.
+ Partner closely with product team owners, the business team including scientists, and other collaborators to lead the software engineering solutioning, ensuring deliverables are completed on time and within scope to deliver real value and meet business objectives
+ Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements
+ Analyze and understand the functional and technical requirements of applications, solutions and systems and translate them into software architecture and design specifications
+ Develop and implement unit tests, integration tests, and other testing strategies to ensure the quality of the software
+ Work closely with product team, business team including scientists, and other collaborators
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Master's degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR
+ Bachelor's degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR
+ Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field
+ Excellent leadership and project management skills, with the ability to manage multiple priorities simultaneously
+ Proficient in General Purpose High Level Language (e.g. NodeJS/Koa, Python or Java)
+ Proficient in Javascript UI Framework (e.g. React or ExtJs)
+ Proficient in SQL (e.g. Oracle, PostGres or Databricks)
**Preferred Qualifications:**
+ 3+ years of experience in implementing and supporting custom software development for drug discovery
+ Strong understanding of cloud platforms (e.g AWS) and containerization technologies (e.g., Docker, Kubernetes)
+ Experience in automated testing tools and frameworks (e.g. Jest, Playwright, Cypress or Selenium)
+ Experience with DevOps practices and CI/CD pipelines
+ Experience with big data technologies (e.g., Spark, Databricks)
+ Experienced with API integration, serverless, microservices architecture
+ Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk)
+ Experience of infrastructure as code (IaC) tools (Terraform, CloudFormation)
+ Experience with version control systems like Git
+ Strong understanding of software development methodologies, mainly Agile and Scrum
+ Strong problem solving, analytical skills; Ability to learn quickly & work independently; Excellent communication and interpersonal skills
**Professional Certifications**
AWS Certified Cloud Practitioner preferred
**Soft Skills:**
+ Excellent critical-thinking and problem-solving skills
+ Strong communication and collaboration skills
+ Demonstrated awareness of how to function in a team setting
+ Demonstrated presentation skills
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Join Amgen's Mission of Serving Patients
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Scientific Business Analyst - Research Data and Analytics**
**What you will do**
Let's do this. Let's change the world. In this vital role, you will primarily focus on analyzing scientific requirements from Global Research and translating them into efficient and effective information systems solutions. As a domain expert, the prospective BA collaborate with cross-functional teams to identify data product enhancement opportunities, perform data analysis, solve issues, and support system implementation and maintenance. Additionally, it will involve development of data product launch and user adoption strategy of Amgen Research Foundational Data Systems. Your expertise in business process analysis and technology will contribute to the successful delivery of IT solutions that drive operational efficiency and meet business objectives.
+ Collaborate with geographically dispersed teams, including those in the US, EU and other international locations.
+ Partner and ensure alignment of the Amgen India DTI site leadership and follow global standards and practices.
+ Foster a culture of collaboration, innovation, and continuous improvement.
+ Function as a Scientific Business Analyst, providing domain expertise for Research Data and Analytics within a Scaled Agile Framework (SAFe) product team
+ Serve as Agile team scrum master or project manager as needed
+ Serve as a liaison between global DTI functional areas and global research scientists, prioritizing their needs and expectations
+ Create functional analytics dashboards and fit-for-purposes applications for quantitative research, scientific analysis and business intelligence (Databricks, Spotfire, Tableau, Dash, Streamlit, RShiny)
+ Handle a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations
+ Translate complex scientific and technological needs into clear, actionable requirements for development teams
+ Develop and maintain release deliverables that clearly outlines the planned features and enhancements, timelines, and milestones
+ Identify and handle risks associated with the systems, including technological risks, scientific validation, and user acceptance
+ Develop documentations, communication plans and training plans for end users
+ Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities
+ Ensure operational excellence, cybersecurity and compliance.
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. This role requires expertise in biopharma scientific domains as well as informatics solution delivery. Additionally, extensive collaboration with global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a solid background in the end-to-end software development lifecycle and be a Scaled Agile practitioner, coupled with change management and transformation experience. This role demands the ability to deliver against key organizational strategic initiatives, develop a collaborative environment, and deliver high-quality results in a matrixed organizational structure.
**Basic Qualifications/Skills:**
+ Doctorate degree **OR**
+ Master's degree and 4 to 6 years of Life Science/Biotechnology/Pharmacology/Information Systems experience **OR**
+ Bachelor's degree and 6 to 8 years of Life Science/Biotechnology/Pharmacology/Information Systems experience **OR**
+ Diploma and 10 to 12 years of Life Science/Biotechnology/Pharmacology/Information Systems experience
+ Excellent problem-solving skills and a passion for solving complex challenges in drug discovery with technology and data
+ Superb communication skills and experience creating impactful slide decks with data
+ Collaborative spirit and effective communication skills to work seamlessly in a multi-functional team
+ Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Streamlit, RShiny, Spotfire, Tableau and related programming languages like SQL, python, R
**Preferred Qualifications/Skills:**
+ BS, MS or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Life Sciences, Computer Science or Engineering
+ 3+ years of experience in implementing and supporting biopharma scientific research data analytics
+ Demonstrated expertise in a scientific domain area and related technology needs
+ Understanding of semantics and FAIR (Findability, Accessibility Interoperability and Reuse) data concepts
+ Understanding of scientific data strategy, data governance, data infrastructure
+ Experience with cloud (e.g. AWS) and on-premise compute infrastructure
+ Familiarity with advanced analytics, AI/ML and scientific computing infrastructure, such as High Performance Compute (HPC) environments and clusters (e.g SLURM, Kubernetes)
+ Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects
+ Ability to deliver features meeting research user demands using Agile methodology
+ An ongoing commitment to learning and staying at the forefront of AI/ML advancements.
+ We understand that to successfully sustain and grow as a global enterprise and deliver for patients - we must ensure a diverse and inclusive work environment.
**Professional Certifications:**
+ SAFe for Teams certification (preferred)
+ SAFe Scrum Master or similar (preferred)
**Soft Skills:**
+ Strong transformation and change management experience.
+ Exceptional collaboration and communication skills.
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
+ Team-oriented with a focus on achieving team goals.
+ Strong presentation and public speaking skills.
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Our client, a leading research institution, is seeking a talented Senior Research Scientist with expertise in Bioinformatics and Data Science to join their advanced research group in Nagpur, Maharashtra . This role is crucial for analyzing complex biological datasets, developing predictive models, and driving insights that advance scientific understanding and therapeutic development. The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field, with a strong track record of applying data science methodologies to biological challenges. You will be responsible for designing and implementing computational strategies to analyze large-scale omics data (genomics, transcriptomics, proteomics), developing machine learning models for disease prediction or drug target identification, and contributing to the interpretation of complex biological systems. Responsibilities include data curation, statistical analysis, algorithm development, visualization of biological data, and collaboration with bench scientists. The Senior Research Scientist will work with cutting-edge technologies and high-performance computing environments. We are looking for an individual with exceptional analytical and problem-solving skills, proficiency in programming languages (e.g., R, Python), and experience with relevant bioinformatics tools and databases. Strong communication skills are essential for effectively presenting complex findings to diverse audiences. The hybrid work model allows for focused individual work and collaborative team sessions. This position offers a stimulating research environment, opportunities for publication, and the chance to contribute to impactful scientific discoveries. Responsibilities include:

• Developing and implementing advanced bioinformatics and data science approaches for analyzing large-scale biological datasets.
• Designing and executing computational experiments for omics data analysis (genomics, transcriptomics, proteomics).
• Building and validating machine learning models for biological pattern recognition, prediction, and classification.
• Developing and maintaining robust data pipelines for data processing, integration, and quality control.
• Collaborating with experimental biologists and clinicians to interpret results and generate biological hypotheses.
• Utilizing statistical methods and visualization tools to explore and communicate complex data effectively.
• Staying current with the latest advancements in bioinformatics, data science, and relevant biological fields.
• Contributing to scientific publications and presentations.
• Managing computational resources and ensuring efficient data handling.
• Providing technical guidance and mentorship to junior researchers.

Qualifications:

• Ph.D. in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
• Minimum of 5-7 years of post-doctoral or industry experience in bioinformatics and data science.
• Proven experience in analyzing and interpreting large-scale omics data.
• Strong programming skills in R and/or Python, including experience with relevant libraries (e.g., Bioconductor, scikit-learn, TensorFlow/PyTorch).
• Familiarity with standard bioinformatics tools, databases, and computational biology concepts.
• Solid understanding of statistical methods and machine learning algorithms.
• Experience with high-performance computing environments and cloud platforms is a plus.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to convey complex technical information clearly.
• Ability to work independently and collaboratively within a research team.