Role Description:
This role is responsible for defining the architecture vision, creating roadmaps, and ensuring that IT strategies align with business goals. You 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 scientific software platforms that manage compound inventories / biological sample banks, as well as those that enable the capture, analysis, storage, and report of in vitro assays and in vivo / pre-clinical studies.You will play a pivotal role in shaping the software ecosystem in this area, ensuring that it meets both current and future businessneeds while providing technical leadership to junior team members.
Roles & Responsibilities:
Provide technical guidance and mentorship to junior developers
Create and maintain architectural roadmaps that guide the evolution of IT systems and capabilities
Maintain documentation of the architecture, including principles, standards, and models
Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency
Work with stakeholders to gather and analyze requirements, ensuring that solutions meet both business and technical needs
Evaluate and recommend technologies and tools that best fit the solution requirements
Ensure seamless integration between systems and platforms, both within the organization and with external partners
Design systems that can scale to meet growing business needs and performance demands
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:
3+ years of experience in implementing and supporting biopharma scientific research software platforms
Functional Skills:
Must-Have Skills:
Strong architectural design and modeling skills
Experience with system integration, IT infrastructure
Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environment
Experience working in agile methodology, including Product Teams and Product Development models
Good-to-Have Skills:
Problem-Solving: Ability to identify and solve complex technical challenges.
Solution Design: Proficiency in designing scalable, secure, and cost-effective solutions.
Vendor Management: Experience in evaluating and selecting technology vendors.
Proof of Concept: Ability to create and demonstrate proof of concept solutions to validate technical feasibility.
Systems Analysis: Ability to decompose complex systems into smaller, manageable components.
Design Patterns: Knowledge of common design patterns and their application in software development.
Non-Functional Requirements: Consideration of factors like performance, scalability, security, and reliability in system design.
Integration: Understanding of system integration principles and technologies (e.g. Mulesoft, AWS Kafka)
Technology Stack: Familiarity with a variety of programming languages (e.g. Python, Java), frameworks, databases (e.g.Oracle, MySQL) and Salesforce
Experience with cloud computing platforms (AWS)
Strong solution design and problem-solving skills
Strong understanding of technology, function, or platform
Experience in developing differentiated and deliverable solutions
Ability to analyze client requirements and translate them into solutions
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 awareness of presentation skills