Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Axle is seeking a Data Scientist for the development and implementation of data analysis tools and methodologies to support informatics initiatives within the National Center for Translational Sciences (NCATS) and the National Cancer Institute (NCI). 

The National Institutes of Health (NIH) is the Nation’s leading medical research agency and the primary federal agency whose mission is to seek fundamental knowledge about the nature and behavior of living systems and the application of that knowledge to enhance health, lengthen life, and reduce illness and disability by supporting and making medical discoveries. NCATS is the only center at the NIH that focuses exclusively on all aspects of the translation of research with an innovative pipeline of treatment discoveries for all diseases. NCATS brings together a diverse group of scientists, including medicinal chemists, biologists, toxicologists, clinicians, and engineers to translate basic science conducted elsewhere into products and services that help improve people’s health and lives. NCATS’ mission is to improve health through smarter science that results in better treatments faster for all diseases, rare or common.

Responsibilities:

• Implement innovative data analysis methodologies and software tools into scientific platforms
• Communicate with biologists at NCI and NCATS to understand their scientific problems and data analysis needs
• Develop and improve custom analytic workflows and algorithms tailored to specific biological use cases
• Learn and test various types of technologies and software
• Collaborate with and present results to interdisciplinary teams consisting of bioinformaticians, software engineers, and subject matter experts
• Track relevant modern technologies by reading and attending seminars

Qualifications:

• BS/MS degree in Computer Science, Data Science, Bioinformatics, Mathematics, Information Systems, Physical Sciences, or related field
• Skilled at data science techniques such as machine/deep learning, statistics, and modeling
• Skilled at data-oriented programming languages such as Python (NumPy, Pandas, Scikit-Learn, PyTorch, Keras), R, and MATLAB, including notebook formats such as Jupyter
• Strong data visualization skills
• Motivated to explore novel solutions to address needs in disease data science
• Ability to work independently on day-to-day tasks with minimal supervision
• Familiar with Linux and Bash programming
• Familiar with version control systems such as Git
• Experience giving presentations

Advanced Qualifications:

• PhD degree
• High-performance computing experience
• Familiar with biology
• Familiar with scientific instrumentation, particularly for imaging
• Familiar with cloud computing
• Experience working with massive datasets
• Publication experience?

Benefits:

• 100% Medical, Dental & Vision premium coverage for Employees??
• Paid Time Off (Including Holidays)?
• Employee Referral Bonus??
• 401K Match?
• Tuition reimbursement?and professional development opportunities?
• Flexible Spending Accounts:
• Healthcare (FSA)
• Parking Reimbursement Account (PRK)
• Dependent Care Assistant Program (DCAP)
• Transportation Reimbursement Account (TRN)