• Deploy, configure, and maintain endpoint detection and response (EDR/XDR), email security, and network security solutions. • Build, tune, and optimize detection rules, alert policies, and automated response playbooks using Microsoft Defender, Microsoft Sentinel, and related security platforms. • Support the onboarding of acquired entities into New Era's standard security stack. • Monitor security alerts and dashboards, investigate events, and escalate security incidents as required. • Assist with incident response activities, including containment, remediation, and recovery efforts. • Perform health checks to ensure security tools, agents, and alerting systems are functioning effectively. • Administer identity security controls, including Multi-Factor Authentication (MFA), Conditional Access, and Privileged Access Management (PAM). • Support vulnerability management activities, including scanning, tracking remediation efforts, and security reporting. • Collaborate with infrastructure, applications, and governance teams to implement security best practices. • Support compliance initiatives, audits, security assessments, and evidence collection for frameworks such as ISO 27001 and SOC 2. • Maintain security documentation, procedures, and operational runbooks. • Research emerging security threats and recommend proactive mitigation strategies.

• Directly build and ship the technical work each institution's onboarding requires – writing and modifying code, pipelines, and configuration to connect their systems to ours. • Configure, validate, and troubleshoot data mappings, schema alignment, and data flows specific to each institution's environment. • Anticipate integration risks and unblock issues independently before they stall a deployment. • Build reusable technical assets: reference architectures, integration playbooks, mapping templates so that each institution onboards faster than the last. • Serve as the primary technical point of contact for higher education institutions participating in the UDTS, partnering closely with the account/success manager on each relationship. • Lead technical discovery: understand each institution's data landscape and translate it into integration and governance requirements and a recommended solution design, while being aware of the internal technical and product roadmap and constraints. • Run solution design and architecture conversations with institutional IT, data, and IR teams, scoping integrations, defining data flows, and setting realistic technical expectations. • Produce integration specs, and technical implementation plans tailored to each institution's environment, governance needs, and constraints. • Translate our platform's capabilities and roadmap accurately back to institutions, and translate institutional technical feedback into clear requirements for internal Technology and Product teams. • Partner with Engineering and Product to confirm proposed integration solutions are feasible and align with platform direction. • Surface recurring technical patterns and gaps across institutions to inform product priorities. • Maintain a clear, shared view of each engagement's technical status, open issues, and dependencies.

• Lead the technical strategy for cell & gene therapy opportunities by partnering with cross-functional teams to evaluate client Requests for Proposal (RFPs) and develop competitive customer proposals • Serve as the technical subject matter expert for ultracold & liquid nitrogen clinical and commercial packaging, and biorepository solutions • Represent Thermo Fisher during customer meetings, technical presentations, bid defenses, and facility tours, effectively communicating our capabilities and differentiators • Evaluate customer requirements, identify technical risks and opportunities, and recommend practical, executable solutions that align with operational capabilities • Partner with Engineering, Operations, Quality, Regulatory Affairs, and other technical experts to ensure proposed solutions are technically feasible and commercially competitive • Act as the voice of the customer internally, advocating for customer requirements while balancing operational capabilities and business objectives • Continuously expand knowledge of ultracold, liquid nitrogen and biorepository market trends, and Thermo Fisher service offerings to strengthen customer solutions

Role Description Infosys Public Services is seeking a Python Expert & IT Solutions Developer to join our team. - Not just knowing Python syntax but demonstrating a track record of building and deploying Python applications or scripts that address IT operational needs, automate processes, or handle data management. - Demonstrable experience with data acquisition, cleaning, preprocessing, and transformation using Python tools and techniques for building robust analysis on large scale data sets. - Implementing and Deploying Cloud Applications. - Hands-on experience with Databricks for large-scale data engineering, analytics, machine learning, and cloud-based data processing solutions. - Experience deploying python applications in cloud service production environments (e.g., AWS, Azure, GCP), potentially leveraging containerization tools (e.g., Docker, Kubernetes). - Understanding of Software Engineering Best Practices: - Experience in applying principles like version control (Git), writing clear and testable code, participating in code reviews, and using continuous integration/continuous deployment (CI/CD) pipelines. - Knowledge of Data Science Best Practices: - Demonstrated understanding and implementation of data science solutions such as data pipelining, feature engineering, or creation of Machine Learning Models. - Familiarity with Cloud-based Data Science Services: - Proficiency using managed AI/ML services provided by cloud platforms to streamline development, deployment, and management of data science applications. - Ethical Practices and Security Knowledge: - A demonstrated awareness and application of ethical guidelines for data science solutioning, including addressing bias, ensuring data privacy, and implementing secure coding practices in Python-based solutions. Qualifications - A bachelor's degree or foreign equivalent is required from an accredited institution. Will consider three years of progressive, relevant work experience instead of every year of education. Candidates who have completed a Master's degree program are strongly preferred. Requirements - Hands on experience building MCP servers and integration with Agentic AI workflows. - Communicating complex technical concepts to both technical and executive stakeholders. - Proficiency creating technical diagrams with products like Microsoft Visio or Draw.io. - Proficiency creating technical design and architecture documents in Microsoft Word. - Proficiency creating business and technical presentations in Microsoft PowerPoint. - Proficiency creating data representations, charts and reports in tools such as Microsoft's Excel worksheets and Power BI. - Ability to communicate, orally and in writing, sufficient to develop and present management briefings; provide written and/or verbal guidance on technical issues; and prepare/present recommendations and reports. - Using design patterns for building scalable and maintainable applications/solutions. - Clearly document code, models, and technical solutions. - Proficiency in Generative AI and prompt engineering. - Continuous learning and adaptability in a very large IT organization. - Troubleshooting software and technical implementations in large-scale enterprise ecosystems. - API development and integration. - Querying and managing data in both SQL and NoSQL databases. - Data science tasks such as data acquisition, data cleaning, and feature extraction. - Develop and demonstrate proof-of-concepts (PoC); independently or in a team. - Create technical diagrams and documentation to show PoC implementations and potential production implementations. - Researching and presenting to teammates on the latest tools/packages/capabilities being developed. - Make recommendations on relevant tools/packages to use for production environments. - Work with relevant governance committees to document and obtain approval for exploratory data science efforts. - Consulting with members of architecture teams to identify potential automation solutions which may include AI/ML. - Collaborating with cross functional teams on holistic AI/ML solutions. Benefits - Medical/Dental/Vision/Life Insurance - Long-term/Short-term Disability - Health and Dependent Care Reimbursement Accounts - Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) - 401(k) plan and contributions dependent on salary level - Paid holidays plus Paid Time Off