Biosurveillance Data Scientist, Senior

Company: Booz Allen Hamilton

Location: Remote/Hybrid/Onsite

Join our team at Booz Allen Hamilton as a Senior Biosurveillance Data Scientist and contribute to impactful data-driven solutions. Harness the power of IoT, machine learning, and AI to analyze vast amounts of structured and unstructured data, unlocking insights to solve global challenges across various sectors, from fraud detection to cancer research and national intelligence.

The Opportunity

As a data scientist with us, you are enthusiastic about uncovering hidden patterns in datasets and leveraging advanced technologies to drive real-world impact. Collaborate closely with clients to understand their needs, guiding and leading your team in the development of cutting-edge algorithms and systems. Utilize a blend of tools and frameworks to transform complex data into actionable insights, aiding clients in making well-informed decisions.

Responsibilities

• Analyze and interpret both structured and unstructured data
• Develop predictive models, perform quantitative analysis, and visualize targeted data sources
• Implement advanced AI and machine learning techniques including deep learning and generative models
• Conduct genomics data analysis using next-generation sequencing and open-source genomics tools
• Work with clinical or environmental microbiology, epidemiology, biosurveillance, and public health data

Qualifications

Required:

• 8+ years of experience in biosurveillance, bioinformatics, health data, or genomics data science
• Proficiency in handling both structured and unstructured data sources
• Experience in developing predictive data models and data visualizations
• Advanced knowledge of AI and machine learning techniques
• Familiarity with next-generation sequencing and genomics data analysis tools
• Background in clinical or environmental microbiology, epidemiology, biosurveillance, and public health
• Ability to obtain a security clearance
• Bachelor’s degree

Preferred:

• Experience with data exploration, cleaning, analysis, visualization, or mining
• Proficiency in statistical and programming languages such as Python or R
• Experience leading complex program development
• Knowledge of algorithm development using R, Python, SQL, or NoSQL
• Experience with cloud-based data analysis platforms (AWS, GCP, Azure)
• Familiarity with distributed data tools (MapReduce, Hadoop, Hive, etc.)
• Knowledge of data visualization packages (Plotly, Seaborn, ggplot2)
• Ability to work independently and manage teams effectively
• Strong communication skills for conveying complex concepts
• Capability to write technical and scientific manuscripts and white papers

Benefits

At Booz Allen Hamilton, your growth and well-being are paramount. We offer comprehensive benefits, including:

• Health, life, disability, and retirement benefits
• Paid leave and parental leave
• Generous 401(k) match
• Professional development and tuition assistance
• Flexible work schedules and remote/hybrid location options

Compensation

Our compensation range for this position is $96,600.00 to $220,000.00 (annualized USD), based on factors like location, education, skills, competencies, experience, and contract-specific requirements.

Work Model

Our culture prioritizes flexibility and collaboration. Whether remote, hybrid, or onsite, you will work in environments that best suit specific roles, ensuring optimal collaboration and productivity.

EEO Commitment

We stand as an equal employment opportunity/affirmative action employer, promoting diversity and inclusivity. We empower our employees regardless of race, color, ethnicity, religion, sex, national origin, age, marital status, sexual orientation, gender identity, disability, veteran status, and other legally protected characteristics.

Join us at Booz Allen Hamilton and make a difference using data