FloQast

40 Floqast Data Scientist Jobs Hiring Near You

... FloQast, LucaNet). * Assist in deploying and maintaining customizations and extensions ... Ensure system and data security in compliance with company policies and audit requirements.

QAD, System Administrator

Irvine, CA · On-site

$87.50K - $100K/yr

... FloQast, LucaNet). * Assist in deploying and maintaining customizations and extensions ... Ensure system and data security in compliance with company policies and audit requirements.

Systems Administrator Senior

$88K - $119.20K/yr

... FloQast, Stampli, or similar platforms • Apply knowledge and skills to complete tasks with ... data, or perform assigned tasks • Able and willing to safely ambulate and/or maneuver when on ...

About Rescale Rescale is pioneering the future of engineering and scientific discovery. As the ... data management, and the integration of the world's largest network of engineering and R&D ...

This role partners deeply with Finance, Accounting, FP&A, IT, RevOps, People Systems, and Data ... Bachelor's degree in Information Systems, Computer Science, Finance/Accounting, or equivalent ...

This role partners deeply with Finance, Accounting, FP&A, IT, RevOps, People Systems, and Data ... Bachelor's degree in Information Systems, Computer Science, Finance/Accounting, or equivalent ...

This role partners deeply with Finance, Accounting, FP&A, IT, RevOps, People Systems, and Data ... Bachelor's degree in Information Systems, Computer Science, Finance/Accounting, or equivalent ...

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FloQast Jobs Information

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What is the job of a data scientist?

A data scientist analyzes large datasets to extract insights and support decision-making using statistical methods, programming, and data visualization tools. They often work with machine learning models and require skills in programming languages like Python or R, as well as knowledge of databases and data analysis techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Infographic showing various Data Scientist job openings at Floqast in the United States as of May 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 53% Physical, 29% Hybrid, and 18% Remote job distribution.
Associate Director, IT Operations - Digital Solutions and Technology

Associate Director, IT Operations - Digital Solutions and Technology

Obsidian Therapeutics

Bedford, MA

Other

Posted yesterday


Job description

Our Opportunity...

We are looking for a strategic and hands-on Associate Director, IT Operations to lead and optimize Digital Solutions & Technology operations at Obsidian, delivering secure, compliant, and scalable technology services that enable our clinical-stage biotech teams to achieve breakthrough scientific and business outcomes.

You Will...

  • Develop and execute Digital Solutions & Technology operations strategy aligned with Obsidian's growth, compliance needs, and culture. 
  • Lead day-to-day operations, including infrastructure, cloud environments, enterprise systems, and lab/scientific software. 
  • Manage MSP resources, ensuring high-quality support and service levels. 
  • Partner with Info Security lead to ensure robust cybersecurity and data protection. 
  • Optimize Digital Solutions & Technology processes (incident, problem, change management) and drive adoption of best practices, with a strong emphasis on ITIL and change management in a controlled, regulated environment. 
  • Manage vendor relationships and operations budget. 
  • Support onboarding/offboarding, access management, and end-user training. 
  • Foster a culture of accountability, collaboration, and continuous improvement. 
  • Risk Management & Business Continuity: Identify, assess, and mitigate IT risks; develop and maintain business continuity and disaster recovery plans. 
  • Work closely with Facilities, Lab Operations, and other business units to ensure Digital Solutions meet evolving scientific and operational needs. 
  • Continuous Improvement & Innovation: Drive process optimization and adoption of new technologies to improve service delivery and operational efficiency. 
  • KPIs & Metrics: Define, track, and report on IT operational KPIs (e.g., uptime, ticket resolution, user satisfaction, compliance metrics). 
  • Regulatory Audit Readiness: Prepare for and support regulatory audits (FDA, SOX, etc.), ensuring documentation and processes are audit-ready. 

Key Systems & Platforms 

  • Networking: Cisco Meraki, Fortinet 
  • Scientific/Lab: Benchling, Egnyte 
  • HR: ADP, Greenhouse, Pave 
  • Finance: NetSuite, FloQast, Concur 
  • Business Development: DataSite DataRooms 
  • Enterprise: M365, Adobe, Teams, Teams Room Systems 
  • Ticketing: Freshdesk 
  • Compliance: ComplianceWire, validated SharePoint 

 You Bring...

Core Qualifications

  • Bachelor's degree in computer science, Information Technology, or related field with 10+ years of relevant IT experience, including leadership of IT operations in a regulated environment (biotech, pharma, or healthcare preferred). 
  • Experience with IT operations in agile, fast-growing companies. 
  • Experience with GxP systems operational support (CSV/CSA). 
  • Experience with change control systems and processes for GxP/SOX. 
  • Experience managing MSPs and IT service delivery across multiple locations. 
  • Strong knowledge of enterprise platforms (NetSuite, M365, ADP, Benchling, etc.) and lab/scientific software. 
  • Experience managing Lab IT systems 
  • Excellent planning, coordination, and time management skills. 
  • Strong oral, written, and visual communication skills. 
  • Ability to build productive relationships across scientific, business, and technical teams. 
  • Systems thinking and sound judgment, especially in risk management and escalation 
  • Collaborative and accountable - recognizes success requires teamwork and interdisciplinary thinking; shares feedback and ideas to facilitate better outcomes 
  • Self-motivated, with a proven ability to meet objectives and timelines, managing multiple responsibilities in parallel. 
  • Flexible - adapts to change in a fast paced, rapidly developing environment 
  • Curious and humble - seeks and welcomes input/expertise of others, continuous learner 
  • Tenacious and resilient - is not easily overwhelmed by challenges, delivers on commitments Â