Axle Informatics is a scientific research and information technology company that offers innovative computer services, informatics, and bioresearch solutions to research centers and healthcare organizations around the globe. With experts in software engineering, bioinformatics, molecular research, and program management, we focus on developing and applying technological tools and scientific techniques to empower the world of research. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of health (NIH), which means candidates will be receiving the best on-the-job training possible in this field

We are looking for a Senior Data Scientist to support projects at the NIH. The position will be based in Rockville, Maryland with  a team that includes bioinformaticians, cheminformatics, and developers that are focused on the development and use of novel research methods and tools to enable data-driven decisions that accelerate translational research. Our work is highly collaborative and we work closely with research lab scientists, biologists and chemists throughout the division on a diverse set of research programs. This position requires strong data analytics and modelling, visualization, and manipulation of data organized in large relational and/or graph databases (Postgresql, MySQL, OracleDB, Neo4J, etc.).  The successful candidate will provide high-level queries, access, and views of complex biological data. Specificaly, experience in large chemi-informatics, genomics, proteomics, and/or metabolomics is necessary. Ideally, the candidate will have some experience with multi-omics analysis using machine learning, deep learning, and modern statistical modeling techniques.  Clear written and oral communication skills and coordination of efforts within the broader team are also critical.

Responsibilities:

• Lead scientific-related needs assessment, as well as facilitate the design, building and implementation of data science IT systems. 
• Create generalizable code bases for abstracted analysis outside of a single client’s project such that analysis and technical tools developed for one project can be easily adapted for a different but similar problem.
• Ability to analyze existing solutions in Python, Matlab, R, and Java (visual basic a plus) and adapt these solutions to a containerized plugin architecture for incorporation into a central tool repository. 
• Strong interest in contributing to biological and clinical research
• Understanding client needs and analyzing, validating and documenting the analysis and system requirements to best address the clients’ need. 
• Analyze as-is process, develop to-be process, and identify gaps which must be addressed to reach the desired end state.
• Act as an expert technical and scientific resource for software development staff in all phases of the development and implementation process
• Assess diverse datasets (focused on images but including other data types outlined above) for correlative, clustering, predictive, etc. outcomes.

Qualifications:

• A BS/MS degree or equivalent in bioengineering, chemical engineering, computer science, statistics, life sciences, or related fields
• Published and/or significant publicly available code using one or all the following languages: Python, MATLAB, C++, R, and/or Java.
• Experience in image analysis (registration, segmentation, and/or tracking) in biomedical imaging modalities preferred, though any image set will be considered. 
• Experience with molecular biology laboratory techniques and informatics methods is preferred though any laboratory experience will be considered. 
• Experience with large data sets (>1 TB) and deep learning will be given priority.
• Experience implementing systems and supporting non-technical scientific staff
• A high level of attention to detail
• A strong work ethic, and the ability to design projects within diverse research areas and datasets.
• Excellent oral and written communication skills in English, and record keeping skills.

Benefits