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Director Data Analytics Biotech Jobs in Virginia

VAST Data

Civilian Account Director

Sterling, VA · On-site +1

Description VAST Data is looking for a Sales Director, Data Platform - Federal Civilian to join our ... Drive new business and expansion opportunities for VAST's data platform across AI, HPC, analytics ...

Peraton

Data Analytics Lead / Active Secret

Arlington, VA · On-site

$135K - $216K/yr

Responsibilities Peraton is seeking an experienced Data Analytics Lead who will become part of ... In partnership with the Data Architect, direct the collection, storage, and management of large ...

Peraton

Data Analytics Lead / Active Secret

Arlington, VA · On-site

$135 - $216/hr

Peraton is seeking an experienced Data Analytics Lead who will become part of Peraton's Department ... In partnership with the Data Architect, direct the collection, storage, and management of large ...

Peraton

Data Analytics Lead / Active Secret

Arlington, VA · On-site

$135K - $216K/yr

Responsibilities Peraton is seeking an experienced Data Analytics Lead who will become part of ... In partnership with the Data Architect, direct the collection, storage, and management of large ...

Network Connex

Area Director - Data Center

Manassas, VA · On-site

$165 - $195/hr

Job Summary The Area Director will be responsible for leading NTI's engineering, splicing, and data ... analysis. * Manage human resources with respect to selection and retention of qualified staff ...

Network Connex

Area Director - Data Center

Manassas, VA · On-site

$165K - $195K/yr

The Area Director will be responsible for leading NTI's engineering, splicing, and data center ... analysis. * Manage human resources with respect to selection and retention of qualified staff ...

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Director Data Analytics Biotech information

What does a director of data analytics do in the biotech industry?

A Director of Data Analytics in biotech leads teams that analyze large and complex biological and clinical datasets to support research, product development, and business decisions. They design data strategies, oversee data management, and implement analytics tools to extract meaningful insights from scientific data. Their work often supports areas like drug discovery, clinical trials, and market analysis, ensuring data-driven decisions throughout the organization. This role requires a strong background in both biotech and advanced analytics, as well as leadership skills to manage cross-functional teams.

What are the typical challenges faced by a director of data analytics in the biotech industry, and how is success measured in this role?

A Director of Data Analytics in biotech often navigates challenges such as integrating complex datasets from various sources, ensuring data integrity, and translating analytics into actionable insights for research and business teams. Success in this role is typically measured by the ability to drive data-informed decision-making, improve efficiency in research pipelines, and support regulatory compliance through robust data practices. Additionally, effective leadership of cross-functional teams and fostering a culture of data literacy across the organization are key indicators of success.

What are the key skills and qualifications needed to thrive as a director of data analytics in biotech, and why are they important?

To thrive as a Director of Data Analytics in Biotech, you need advanced expertise in data science, statistical analysis, and a strong foundation in life sciences, typically supported by a relevant advanced degree (e.g., PhD, MS). Familiarity with tools like Python, R, SQL, cloud computing platforms, and experience with data visualization and bioinformatics systems are essential, along with relevant certifications in data analytics or project management. Strong leadership, strategic thinking, and effective communication skills help you translate complex data into actionable insights and foster cross-functional collaboration. These competencies are critical for driving data-driven decision-making and innovation in a highly regulated, research-focused biotech environment.

What is the difference between Director Data Analytics Biotech vs Data Scientist Biotech?

AspectDirector Data Analytics BiotechData Scientist Biotech
Required CredentialsAdvanced degree (Master's/PhD), leadership experienceTypically Master's or PhD in Data Science, Statistics, or related field
Work EnvironmentStrategic leadership, team management, cross-department collaborationHands-on data analysis, model development, coding, and experimentation
Employer & Industry UsageBiotech companies, research institutions, pharma firmsBiotech firms, research labs, healthcare startups

The main difference is that the Director Data Analytics Biotech focuses on strategic oversight, team leadership, and aligning analytics with business goals, while the Data Scientist Biotech is more involved in technical data analysis, modeling, and coding tasks. Both roles require strong analytical skills and industry knowledge, but the director position emphasizes management and strategic planning.

What are popular job titles related to Director Data Analytics Biotech jobs in Virginia?

For Director Data Analytics Biotech jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Director Data Analytics Biotech jobs in Virginia look for?

The top searched job categories for Director Data Analytics Biotech jobs in Virginia are:

What cities in Virginia are hiring for Director Data Analytics Biotech jobs?

Cities in Virginia with the most Director Data Analytics Biotech job openings:

Director Data Analytics Biotech jobs near you
Infographic showing various Director Data Analytics Biotech job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

LEAD AWS FEDERAL DATA-PLATFORM ARCHITECT - Remote

Axyde Analytics

Midlothian, VA • Remote

Full-time

Posted 15 days ago

Job description

Axyde Analytics seeks a senior AWS architect to lead the design and implementation of a federal enterprise data, analytics, and AI platform. The work begins with proposal and technical-challenge support and may continue through transition and long-term operations following award.

The current technical baseline uses FedRAMP-authorized AWS managed services. The architect must preserve alignment between the submitted security baseline, demonstrated environment, Factor 3 production solution, and implemented platform.

Responsibilities

  • Own the end-to-end architecture for ingestion, storage, transformation, analytics, AI, identity, security, monitoring, and operations.

  • Translate the solicitation and PWS into an implementable AWS architecture.

  • Maintain fidelity to Axyde’s final approved Factor 1 service, model, and SBOM baseline.

  • Design for structured, semi-structured, and unstructured information.

  • Address JDBC, Oracle, Red Hat/Linux, APIs, public sources, files, forms, and Government-directed data connections.

  • Design scalable patterns for hundreds of interfaces, dashboards, forms, workflows, and data sources.

  • Define integration with DOE identity, SIEM, access-control, and security environments.

  • Identify architecture gaps, assumptions, dependencies, limitations, and Government-furnished prerequisites.

  • Produce architecture diagrams, service inventories, implementation plans, and technical narratives.

  • Lead technical rehearsals and support the live Government demonstration.

  • Guide the production transition, testing environment, operations, maintenance, and future expansion.

Required Experience

  • At least eight years of AWS architecture experience.

  • Hands-on expertise with Amazon Bedrock, Step Functions, S3, Glue, Athena, QuickSight/Quick Suite, IAM, KMS, CloudTrail, and CloudWatch.

  • Experience designing secure data platforms for federal or regulated environments.

  • Strong knowledge of FedRAMP authorization boundaries and the AWS shared-responsibility model.

  • Experience with data integration, APIs, schema diversity, data quality, scaling, and enterprise identity.

  • Ability to explain technical decisions clearly to nontechnical executives and Government evaluators.

Architecture Constraint

No Lambda function, EC2/AMI, container, external SaaS, external model endpoint, third-party runtime, or unlisted AWS service may be introduced unless approved through Axyde’s architecture and change-control process and reconciled with the applicable security baseline.

Engagement

U.S. citizenship required. Remote within the United States with occasional travel. Immediate consulting availability is preferred. Continued work is contingent upon contract award.