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Mid Level Biology Data Science Jobs (NOW HIRING)

... data science to enhance defense intelligence programs. Responsibilities include collaborating with analysts to solve complex data challenges, developing predictive intelligence approaches, and ...

The Opportunity As a dedicated Mid-Level Decision Science Analyst, you will Provide decision ... Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques ...

Mid-Level Decision Science Analyst

Plano, TX · On-site +1

$93K - $179K/yr

The Opportunity As a dedicated Mid-Level Decision Science Analyst, you will Provide decision ... Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques ...

As a mid-level data scientist supporting a Space Force program, you will contribute to analytic development and mission-focused modernization across space-based GEOINT environments. You will work ...

The Opportunity As a dedicated Mid-Level Decision Science Analyst, you will Provide decision ... Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques ...

The Opportunity As a dedicated Mid-Level Decision Science Analyst, you will Provide decision ... Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques ...

Mid-Level Decision Science Analyst

Plano, TX · On-site +1

$93K - $179K/yr

The Opportunity As a dedicated Mid-Level Decision Science Analyst, you will Provide decision ... Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques ...

The Opportunity As a dedicated Mid-Level Decision Science Analyst, you will Provide decision ... Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques ...

The Opportunity As a dedicated Mid-Level Decision Science Analyst, you will Provide decision ... Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques ...

The Opportunity As a dedicated Mid-Level Decision Science Analyst, you will Provide decision ... Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques ...

The Opportunity As a dedicated Mid-Level Decision Science Analyst, you will Provide decision ... Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques ...

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Mid Level Biology Data Science information

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$37.5K

$122.7K

$196.5K

How much do mid level biology data science jobs pay per year?

As of Jul 23, 2026, the average yearly pay for mid level biology data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Mid Level Biology Data Science jobs? Cities with the most Mid Level Biology Data Science job openings:
What are the most commonly searched types of Biology Data Science jobs? The most popular types of Biology Data Science jobs are:
What states have the most Mid Level Biology Data Science jobs? States with the most job openings for Mid Level Biology Data Science jobs include:
Data Scientist - Mid-Level

Data Scientist - Mid-Level

Orchard

Reston, VA • On-site

Full-time

Posted 15 days ago


Job description

Job Summary:
Orchard is retained by a top geospatial technology company supporting U.S. Government operations missions. The Data Scientist role involves supporting advanced analytical methodologies leveraging AI, machine learning, and data science to enhance defense intelligence programs. Responsibilities include collaborating with analysts to solve complex data challenges, developing predictive intelligence approaches, and automating analytic workflows.
Responsibilities:
• Work in tandem with analysts to figure out methods to solve their challenges with complex data sets, pattern identification, and visualizations.
• Perform research and implement forward-looking analytic methodologies that leverage statistical techniques and pattern recognition.
• Assist analysts in developing structured approaches to predictive intelligence that increase timeliness and accuracy of assessments.
• Expand existing Natural Language Processing (NLP) to include new entities and improved visualization.
• Research and implement approaches that enhance analytical tradecraft (support critical thinking, mitigate biases, increase analytic rigor).
• Research and implement advanced analytic methodologies that enhance tradecraft, mitigate bias, and improve analytic efficiency.
• Support the automation of structured analytic methods and workflows to increase repeatability and scalability of intelligence production.
• Contribute to the development and integration of semantic technologies, including ontologies and knowledge graphs, to support OBI standards.
• Design and build visualizations and dashboards that communicate complex data insights to technical and non-technical audiences.
• Evaluate and optimize analytic performance using qualitative and quantitative metrics.
Qualifications:
Required:
• Must be a U.S. Citizen and have an active TS/SCI with in-scope CI poly.
• 8 years of experience and an advanced degree.
• Experience with Git and software development workflows.
• Demonstrated experience with Python, R, and SQL, including programmatic access to web services, data management, and visualization.
• Demonstrated experience with statistical analysis and data mining algorithms.
• Possesses knowledge and experience with artificial intelligence (AI), advanced analytics, cloud architecture, and data storage.
Preferred:
• Polished oral and written communication skills sufficient to compose, tailor, and deliver original presentations and papers on abstract concepts.
• Familiarity with graph databases or graph data structures.
• Ability to lead multi-disciplinary teams to complete complex data science projects.
• Experience with AWS or similar cloud provider.
• Demonstrated experience in solving problems with structured and unstructured data.
• Experienced in applying statistical and data visualization skills.
• Strong problem-solving skills to manipulate data and draw insights from large data sets.
• Proven ability to learn and master new software, technologies and techniques.
• Familiarity with generative AI and large language models (LLMs) and their strengths and weaknesses when applied to intelligence requirements.
• Experience in two or more of the following: Machine Learning, Natural Language Processing, Apache Spark, Hadoop, R, C++, SQL Database/Coding, or visualization tools such as Tableau.
Company:
We're a team of engineers, researchers, and farmers on a mission to revolutionize one of Earth's most important industries – agriculture. Founded in 2022, the company is headquartered in Seattle, USA, with a team of 11-50 employees. The company is currently Early Stage.