163 Medical Data Collection jobs in India

**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.

**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.
**(Senior Associate-Data Engineer)**
**What you will do**
Let's do this. Let's change the world. In this vital role you will be responsible for designing, developing, and maintaining software data and analytics applications that drive business decisions for Research. This position requires close collaboration with business analysts, scientists, and other engineers to create high-quality, scalable software solutions. Additionally, it involves automating operations, monitoring system health and responding to incidents to minimize downtime. The ideal candidate possesses experience in the pharmaceutical or biotech industry, strong technical skills, and full stack software engineering experience (spanning SQL, back-end, front-end web technologies, automated testing).
+ 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:**
+ Master's degree and 1 to 3 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience OR
+ Bachelor's degree and 3 to 5 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience OR
+ Diploma and 7 to 9 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience
**Preferred Qualifications:**
+ 1+ years of experience in implementing and supporting custom software development for drug discovery
**Functional Skills:**
**Must-Have Skills:**
+ Proficient in General Purpose High Level Language (e.g. NodeJS/Koa, Python, Java, C#.NET)
+ Proficient in Javascript UI Framework (e.g. React or ExtJs)
+ Proficient in SQL (e.g. Oracle, PostGres or Databricks)
+ Experience in automated testing tools and frameworks (e.g. Jest, Playwright, Cypress or Selenium)
**Good-to-Have Skills:**
+ Strong understanding of cloud platforms (e.g AWS) and containerization technologies (e.g., Docker, Kubernetes)
+ Working 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 analytical and troubleshooting skills
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ 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
**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.
Associate Data Engineer Graph - 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 Data Engineer to design, build and maintain solutions for scientific data that drive business decisions for Research. You will build scalable and high-performance, graph-based, data engineering solutions for large scientific datasets and collaborate with Research partners. The ideal candidate possesses experience in the pharmaceutical or biotech industry, demonstrates deep technical skills, has experience with semantic data modeling and graph databases, and understands data architecture and ETL processes.
**Roles & Responsibilities:**
+ 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 multi-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 and Experience:**
+ Bachelor's degree and 1to 3 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience OR
+ Diploma and 4 to 7 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience
**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.
+ Hands on experience with big data technologies and platforms, such as Databricks, workflow orchestration, performance tuning on 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
+ Experience with system administration skills, such as managing Linux and Windows servers, configuring network infrastructure, and automating tasks with shell scripting. Examples include setting up and maintaining virtual machines, troubleshooting server issues, and ensuring data security through regular updates and backups.
+ Solid understanding of data modeling, data warehousing, and data integration concepts
+ Solid 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 user documentation in Confluence
**Professional Certifications:**
+ Databricks Certified Data Engineer Professional preferred
**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.

Background:Unilever's Personal Care Science & Technology (S&T) team develops future fit technologies that enable superior, benefit led products. The Physical Sciences platform combines deep expertise in chemistry, emulsions, materials, surface and colloid science, and process engineering with advanced data science, AI/ML, and modelling techniques to translate cutting edge science into scalable product solutions. Our models and tools support ingredient selection, formulation optimisation, and claim substantiation, and are delivered as governed, self service assets for scientists and partners across S&T. Research outputs typically include next generation product technologies scaled to at least pilot plant level, alongside novel claims, new methods, and reusable digital assets such as datasets, R&D tools, and dashboards. The team works closely with Design, Analytical, and Process groups to address complex product challenges, provide deeper insight into emerging technologies, and translate scientific understanding into consumer relevant performance at speed and scale.
Purpose:In this role, the individual will apply computational and data-driven methods to support material and formulation development in Personal Care. By integrating chemistry, modelling, and data science, the position is responsible for providing predictive insights and digital tools to assist scientists across S&T in designing products relevant to consumers.
Main Accountabilities:- Capture, organise, and standardise structured and unstructured data for modelling and insight generation.- Build and maintain predictive models (e.g., QSAR, ML, statistical) to support material and formulation innovation.- Apply AI/ML techniques and LLM based approaches to extract insights, optimise formulations, and accelerate decision making.- Curate and analyse experimental and literature data, ensuring data quality and integrity.- Develop user friendly tools, dashboards, and visualisations to make models and insights accessible to scientists.- Translate business needs into technical solutions and deliver modelling projects in collaboration with subject matter experts.- Stay updated on emerging computational and AI/ML techniques relevant to chemistry and materials science; share best practices within the team.Skills & ExperienceEssential:- Degree in Chemistry, Chemical Engineering, Materials Science with experience in Data Science.- Hands-on experience in Python (and/or R) for data analysis and modelling, including data curation, robust train/validation/test splits, and model evaluation.- Exposure to RDKit and other descriptor generation techniques for QSAR or predictive modelling.- Knowledge of AI/ML techniques and familiarity with LLM applications for scientific workflows (e.g., text mining, knowledge retrieval, summarisation).- Comfortable working in Linux-based environments and using version control tools (e.g., Git).- Strong statistical and machine learning knowledge applied to chemical or formulation data.- Ability to communicate technical insights clearly to non-specialists.Desirable:- Experience deploying models as dashboards or lightweight tools (e.g., Dash, Flask, Power BI).- Understanding of model explainability and visualization techniques.- Awareness of molecular modelling concepts.
Our commitment to Equality, Diversity & Inclusion
Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.
"All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent-please verify before proceeding."
Job Category: Research & Development
Job Type: Full time
Industry: