Scientific Business Analyst (Specialist) – Large Molecule Discovery

Scientific Business Analyst (Specialist) – Large Molecule Discovery
India - Hyderabad Apply NowJoin 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
What you will do
Let’s do this. Let’s change the world. In this vital role you will work closely with Amgen Research partners and Technology peers to ensure that they technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role demonstrates 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
We are all different, yet we all use our unique contributions to serve patients. The delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems.
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- 8years 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:
- 5+ years of experience in implementing and supporting biopharma scientific software platforms.
Functional Skills:
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.
Good-to-Have Skills:
- 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
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.