Scientific Business Analyst (Specialist) – Large Molecule Discovery
Amgen
Scientific Business Analyst (Specialist) – Large Molecule Discovery
Job Description
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.
What you will do
- Work closely with Amgen Research partners and Technology peers to ensure that technology/data needs for drug discovery research are translated into technical requirements for solution implementation
- Demonstrate scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams
- Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team
- Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations
- Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations
- Lead the Large Molecule Discovery technology ecosystem and ensure that the platform meets the requirements for data analysis and data integrity
- 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 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: 5+ years of experience in implementing and supporting biopharma scientific software platforms
Must-Have Skills
- Proven expertise in a scientific domain area and related technology needs
- Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA
- Experience in configuration and administration of LIMS/ELN platforms (e.g. Benchling), Discovery software tools (e.g. Geneious, Genedata Screener) and Instrument Automation and Analysis platforms
- Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports and understanding of basic data querying using SQL, Databricks, etc.
- Experience leading the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS)
- Knowledge of the antibody discovery design, make, test, and analyze cycle
- Experience in AI and machine learning for drug discovery research and preclinical development
- Experience with leveraging LLM tools to accelerate software development processes
- Experience with cloud (e.g. AWS) and on-premise infrastructure
What you can expect of us
- Competitive benefits
- Collaborative culture
- Support for professional and personal growth and well-being
- Competitive and comprehensive Total Rewards Plans aligned with local industry standards
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
25,000 - 45,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proven expertise in a scientific domain area and related technology needsintermediate
- Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRAintermediate
- Experience in configuration and administration of LIMS/ELN platforms (e.g. Benchling), Discovery software tools (e.g. Geneious, Genedata Screener) and Instrument Automation and Analysis platformsintermediate
- Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports and understanding of basic data querying using SQL, Databricks, etc.intermediate
- Experience leading the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS)intermediate
- Knowledge of the antibody discovery design, make, test, and analyze cycleintermediate
- Experience in AI and machine learning for drug discovery research and preclinical developmentintermediate
- Experience with leveraging LLM tools to accelerate software development processesintermediate
- Experience with cloud (e.g. AWS) and on-premise infrastructureintermediate
Required Qualifications
- Master’s degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field (experience)
- OR Bachelor’s degree with 6-8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field (experience)
- OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field (experience)
- Preferred: 5+ years of experience in implementing and supporting biopharma scientific software platforms (experience)
Responsibilities
- Work closely with Amgen Research partners and Technology peers to ensure that technology/data needs for drug discovery research are translated into technical requirements for solution implementation
- Demonstrate scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams
- Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team
- Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations
- Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations
- Lead the Large Molecule Discovery technology ecosystem and ensure that the platform meets the requirements for data analysis and data integrity
- Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities
- Ensure operational excellence, cybersecurity and compliance
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Support for professional and personal growth and well-being
- general: Competitive and comprehensive Total Rewards Plans aligned with local industry standards
Tags & Categories
Scientific Business Analyst (Specialist) – Large Molecule Discovery
Amgen
Scientific Business Analyst (Specialist) – Large Molecule Discovery
Job Description
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.
What you will do
- Work closely with Amgen Research partners and Technology peers to ensure that technology/data needs for drug discovery research are translated into technical requirements for solution implementation
- Demonstrate scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams
- Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team
- Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations
- Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations
- Lead the Large Molecule Discovery technology ecosystem and ensure that the platform meets the requirements for data analysis and data integrity
- 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 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: 5+ years of experience in implementing and supporting biopharma scientific software platforms
Must-Have Skills
- Proven expertise in a scientific domain area and related technology needs
- Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA
- Experience in configuration and administration of LIMS/ELN platforms (e.g. Benchling), Discovery software tools (e.g. Geneious, Genedata Screener) and Instrument Automation and Analysis platforms
- Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports and understanding of basic data querying using SQL, Databricks, etc.
- Experience leading the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS)
- Knowledge of the antibody discovery design, make, test, and analyze cycle
- Experience in AI and machine learning for drug discovery research and preclinical development
- Experience with leveraging LLM tools to accelerate software development processes
- Experience with cloud (e.g. AWS) and on-premise infrastructure
What you can expect of us
- Competitive benefits
- Collaborative culture
- Support for professional and personal growth and well-being
- Competitive and comprehensive Total Rewards Plans aligned with local industry standards
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
25,000 - 45,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proven expertise in a scientific domain area and related technology needsintermediate
- Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRAintermediate
- Experience in configuration and administration of LIMS/ELN platforms (e.g. Benchling), Discovery software tools (e.g. Geneious, Genedata Screener) and Instrument Automation and Analysis platformsintermediate
- Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports and understanding of basic data querying using SQL, Databricks, etc.intermediate
- Experience leading the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS)intermediate
- Knowledge of the antibody discovery design, make, test, and analyze cycleintermediate
- Experience in AI and machine learning for drug discovery research and preclinical developmentintermediate
- Experience with leveraging LLM tools to accelerate software development processesintermediate
- Experience with cloud (e.g. AWS) and on-premise infrastructureintermediate
Required Qualifications
- Master’s degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field (experience)
- OR Bachelor’s degree with 6-8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field (experience)
- OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field (experience)
- Preferred: 5+ years of experience in implementing and supporting biopharma scientific software platforms (experience)
Responsibilities
- Work closely with Amgen Research partners and Technology peers to ensure that technology/data needs for drug discovery research are translated into technical requirements for solution implementation
- Demonstrate scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams
- Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team
- Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations
- Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations
- Lead the Large Molecule Discovery technology ecosystem and ensure that the platform meets the requirements for data analysis and data integrity
- Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities
- Ensure operational excellence, cybersecurity and compliance
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Support for professional and personal growth and well-being
- general: Competitive and comprehensive Total Rewards Plans aligned with local industry standards
Tags & Categories