We are constantly looking for junior IT developers and analysts with an interest in text mining, Natural Language Processing (NLP) & machine learning.

Please email us your resume to careers@sahanatech.com to be contacted about future openings.
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Currently, there is one opening as outlined below. This position is ready to be filled now.

Sr Data Scientist
Job #: S-00068236
Location: Bethesda, MD
Category: Data Scientist
Schedule (FT/PT): Full Time
Travel Required: No
Shift: Day
Potential for Telework: Yes, 50%
Clearance: Public Trust
Group: Health

Description

Job Description:
Sahana, LLC.  is seeking a Senior Data Scientist in Bethesda, MD

Responsibilities: –

Provide artificial intelligence, machine learning, natural language processing and data analytics support for peer review.
Perform scientific domain analysis and prediction using ML, large scale clustering
Explore algorithms that involve topic modeling and clustering, and test their scalability on massively big data.
Work on free text data and incremental automated processes to facilitate federal scientific resource allocation procedures.
Collaborate with data scientists, data analysts, and other scientific officers on NIH businesses and research.
Perform large and complex data sets analysis, conduct quantitative and qualitative analysis
Interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.
Collaborate with various stakeholders
Educational Qualifications:

B.S. in computer science or equivalent. Master’s degree in Bioinformatics or data science preferred. Minimum 7 years of experience in relevant field.
Minimum 7 years of relevant experience.
Required Qualifications: –

Advanced proficiency in programming languages such as R, Python, Pearl, C++
Demonstrated experience in handling large data sets, performing predictive analytics such as machine learning and data mining.
Experience with analyzing large and complex data sets, with strong aptitude for conducting quantitative and qualitative analysis
Experience with the application of bioinformatics and statistical tools and the analysis
Has the ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.
Experience with handling large data sets, generate predictive regression models (logistic and multivariate) and apply machine learning algorithm such as random forest, elastic net.
Experience with developing machine learning algorithms for object detection and recognition, large-scale indexing and retrieval and multimedia understanding
Excellent presentation and communication skills; Demonstrated ability to clearly explain technical issues to technical and non-technical customers
Experience with Cloud computing environments such as AWS, Azure.
Experience with various bioinformatics databases and tools.
Desired Qualifications:

Previous experience working with NIH
Strong knowledge of NIH grants management processes and systems
Knowledge of NIH peer review process
Requires the ability to obtain Public Trust Clearance.