Clinical Data Scientist
REMOTE WORKER
Spatial Front, Inc
About the Company:
Spatial Front, Inc is a fast-growing small company providing IT solutions to federal, state, local governments, and the private sector. SFI is nationally recognized by Inc. Magazine by being awarded the Inc. 5000 Award. We pride ourselves on being one of the premier employers in the VA, MD, DC area. SFI is an industry leader in delivering cutting-edge technical solutions and mission support services bringing our customers’ businesses to the forefront of the 21st century. Our corporate commitment to excellence in client services and product development means that our people are attentive, hands-on, and bring industry-leading expertise to meet and exceed your needs in a straightforward, timely, and cost- effective manner.
Every employee at SFI is a leader. We don’t settle. We blaze our own path and inspire those around us into action. We motivate others to reach their full potential. To learn more about us visit: www.spatialfront.com
- MS in a qualitative technical field such as computer science, engineering, statistics, or related field.
- Minimum 5 years of experience in at least one of the following work areas: analytics, biopharmaceutical manufacturing, quality analytics, biotechnology research and development, or other area relevant research programs.
- Demonstrate familiarity with Databricks and expertise in either R or Python.
- Must have expertise in web scraping, time-series analysis, and machine learning techniques, with proven ability to apply these skills effectively.
Primary Responsibilities
- Utilize R, Python for automation.
- Utilize data mining techniques and web scraping tools to extract valuable insights and information from various sources, such as websites and databases.
- Apply experience with business intelligence, analytics, reporting, and data transformation skills to drive insights.
- Apply knowledge and experience in analytics and statistics to analyze and interpret the data effectively.
- Apply knowledge of data types, formats, data architecture, and pipeline optimization techniques to effectively manage and process data.
- Technical strategy: Demonstrate analytical capabilities and critical thinking skills and ability to identify new issues, trends, and opportunities from data.
- Operational Excellence: Ensure the reliability, efficiency, and quality of data services and pipelines.
- Perform hands-on work with data analysis, validation, and quality assurance.
- Prepares and delivers presentations.
- Researches and identifies root cause/data issues. Ensure timely delivery of reports and manage conflicting priorities and customer expectations.
- Performs periodic check-ins for status and feedback. Identifies gaps in the system and communicate them to the solution project leads/program manager.
- Documents the unmet data needs of stakeholders for reporting purposes. Collaborate with cross-functional teams.
Non-technical activities
Extract valuable insights from the acquired and existing data by employing
advanced techniques such as time-series analysis, trend analysis, and machine learning (including
clustering, natural language processing, and outlier identification). These techniques are intended to
maximize the value derived from the available data, foster a proactive approach, and effectively identify
high-risk facilities.
Technical activities
Serves as a specialist in the application of data science, operations research,
computer science, mathematics, and statistics, to design data modeling processes, conduct data mining
operations, uncover hidden patterns in the data, and create algorithms and predictive models to extract
insights.
Additional Information:
- In order to meet the clearance requirements for this opportunity, candidates must be authorized to work in the US
- All candidates will be subject to a complete background check to include, but not limited to Criminal History, Education Verification, Professional Certification Verification, Verification of Previous Employment and Credit History.
- Public Trust background investigations can take approximately four to eight weeks and requires fingerprinting.
Other Information:
- The salary for this position is $75,000 - $120,000 annually
- For information on SFI's benefits please visit http://www.spatialfront.com/pages/career.html
- This is a full-time W2 position.
- Please no agencies, third parties, or Corp-to-corp.
- Spatial Front Inc. is an Equal-opportunity Employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
- Spatial Front Inc. participates in E-Verify.
Tags: Architecture Business Intelligence Clustering Computer Science Data analysis Databricks Data Mining Engineering Machine Learning Mathematics NLP Pipelines Python R Research Statistics
Perks/benefits: Career development
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