Data Scientist / Analyst

Posted about 1 month agoInactiveViewed

💎 Seniority level: Senior, 5+ years

📍 Location: United States

💸 Salary: 50.0 - 90.0 USD per hour

🔍 Industry: Government, Defense, Technology

🏢 Company: INTECON

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSPythonSQLApache HadoopData AnalysisETLMachine LearningTableauAzureSparkData visualization

Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related field.
Bachelor’s degree in a related field.
5+ years of experience in data science, machine learning, or advanced analytics.
Expertise in data analysis, database management, and statistical modeling techniques.
Strong programming skills in Python, R, SQL, and other data analytics languages.
Experience in machine learning, predictive analytics, and AI-driven decision-making.
Proficiency in data visualization tools such as Tableau or Power BI.
Hands-on experience with big data technologies and cloud platforms.
Knowledge of data governance and DoD data policies.
Familiarity with AFWERX and SBIR/STTR programs is a plus.

Analyze large datasets to extract meaningful insights and trends.
Develop statistical models, machine learning algorithms, and AI-driven insights.
Perform quantitative and qualitative research for venture funding and commercialization initiatives.
Utilize Python, R, and SQL for data manipulation.
Design data pipelines and ETL processes.
Create interactive dashboards using Tableau or Power BI.
Develop predictive analytics models for assessments and strategies.
Collaborate with stakeholders to align data insights with objectives.
Translate complex data findings into actionable reports.
Ensure data governance and compliance.

Posted 5 months ago

📍 United States

🧭 Full-Time

💸 $125,000 - $145,000 per year

🔍 Biomedical and bioinformatics

🏢 Company: NIH-NCBI

🔧 Requirements

The ideal candidate must have a doctoral degree and postdoctoral experience.
A track record of research or work in viral genomics and bioinformatics.
Familiarity with virus taxonomy, comparative genomics, and evolutionary processes.
Experience in bioinformatics of DNA and RNA sequence analysis and the development of robust workflows for automated data processing.
Proficiency in at least one scripting language (e.g., Python).
Experience with SQL.
Ability to work with common structured documents (XML, JSON, CSV).
Familiarity with NCBI resources and tools.
Experience in interpreting complex biological problems and critically analyzing the scientific literature.
Excellent verbal and written communication skills, organizational skills, and problem-solving skills.
A proven ability to successfully engage in multi-disciplinary collaborative research.

💡 Responsibilities

Collecting, processing, and analyzing biological datasets to support public virus resources.
Developing methodologies and tools for the identification and classification of viral sequences based upon genomic and protein sequence content.
Improving sequence data quality and annotation based on bioinformatic analysis, appropriate scientific literature, and through direct communication with scientists.
Outreach to research scientists, data scientists, and clinicians.
Interacting and collaborating with a diverse group of scientists, bioinformaticians, and software developers within and outside the NIH to meet the needs of clinical and basic researchers and public health professionals.

PythonSQLData AnalysisPandasCommunication SkillsAnalytical SkillsCollaborationMicrosoft Excel

Posted 5 months ago