Sr Associate Software Engineer – Biological Studies (LIMS)
About this opportunity
Career Category
Information Systems
Job Description
Role Description:
The role is responsible for designing, developing, and maintaining software solutions for Research scientists . Additionally, it involves automating operations, monitoring system health, and responding to incidents to minimize downtime. Y ou will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements LIMS platforms that enable the capture, analysis, storage, and report of pre- clinical and clinical studies as well as those that manage biological sample banks . 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 ) .
Roles & Responsibilities:
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 execute unit tests, integration tests, and other testing strategies to ensure the quality of the software
Identify and resolve software bugs and performance issues
Work closely with cross-functional teams, including product management, design, and QA, to deliver high-quality software on time
Maintain detailed documentation of software designs, code, and development processes
Customize modules to meet specific business requirements
Work on integrating with other systems and platforms to ensure seamless data flow and functionality
Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently
Possesses strong rapid prototyping skills and can quickly translate concepts into working code
Contribute to both front-end and back-end development using cloud technology
Develop innovative solution using generative AI technologies
Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations
Identify and resolve technical challenges effectively
Stay updated with the latest trends and advancements
Work closely with product team, business team including scientists, and other stakeholders
Basic Qualifications and Experience:
Bachelor’s degree with 5 - 9 years of experience in Computer Science, IT , Computational Chemistry, Computational Biology/ Bioinformatics or related field
Preferred Qualifications and Experience:
1 + years of experience in implementing and supporting biopharma scientific software platforms
Functional Skills:
Must-Have Skills :
Proficient in a General Purpose High Level Language (preferably C#, .NET, OOPs based language)
Proficient in SQL (e.g. Oracle, PostGres, Databricks)
Proficient in a Javascript UI Framework (e.g. React, ExtJs)
Experience developing APIs and working on an Event-based architecture (e.g. Mulesoft, AWS EventBridge, AWS Kinesis, Kafka)
Good-to-Have Skills:
Strong understanding of software development methodologies, mainly Agile and Scrum
Hands-on experience on Labvantage application
Hands - on experience with Full Stack software development
Strong understanding of cloud platforms ( e.g AWS) and containerization technologies (e.g., Docker, Kubernetes)
Working experience with DevOps practice s and CI/CD pipelines
Experience with big data technologies (e.g., Spark, Databricks)
Experience with API integration, serverless, microservices architecture ( e . g . Mulesoft , AWS Kafka)
Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk)
E xperience of infrastructure as code ( IaC ) tools (Terraform, CloudFormation)
Experience with version control systems like Git
Experience with automated testing tools and frameworks
Experience with the implementation of LIMS/ELN platforms such as Benchling, Revvity, IDBS, STARLIMS, Watson, LabVantage, etc.
Experience handling GxP data and system validation, and knowledge of regulatory requirements affecting laboratory data (e.g., FDA 21 CFR Part 11, GLP, GCP)
Professional Certifications (please mention if the certification is preferred or mandatory for the role):
AWS Certified Cloud Practitioner preferred
Soft Skills:
Excellent problem solving, analytical , and troubleshooting skills
Strong communication and interpersonal skills
Ability to work effectively with global, virtual teams
High degree of initiative and self-motivation
Ability to learn quickly & work independently
Team-oriented, with a focus on achieving team goals
Ability to manage multiple priorities successfully
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 .
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Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 378 comparable Senior Information Technology roles across 34 biopharma companies.
Salary context
45 of 378 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 378 comparable roles
+ 15 more countries
Seniority mix
378 of 378 peers have a known seniority level
Therapeutic area mix
0 of 378 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
No peers with a known therapeutic area yet.
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.