Job Title : Java/AWS SageMaker Developer
Location : Atlanta, GA (will be remote until go back to normal)
Duration : 6 months
They must have the following:
1) 10 + years in Java
2) 5 + years in AWS
3) UNIX Scripting Experience
1. Self-starter, seasoned JAVA developer with working UNIX scripting knowledge (10+ years preferred ). Groovy knowledge is desired.
2. Working AWS & cloud computing knowledge required (5+ years preferred ). Working knowledge of SageMaker ML service is required.
3. Few years of hands-on experience in Virtual Assistant/Bot, & NLP/NLU technology is desired.
4. AI experience related to solving business problems through dialogue conversation, machine learning, data mining is desired.
5. Excellent critical thinking skills, combined with the ability to present your ideas clearly in both verbal and written form.
6. Self-motivated, Self-starter, quick learner, and team player and easy to work with is a must.
7. Work is based in the Atlanta office. The candidate can work remotely in current pandemic situation, with daily check-ins with other member of the team working on the project
Job Type: Contract
Pay: $55.00 - $60.00 per hour
Full Time Opportunity:
Bioinformatics Data Engineer
The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.
The goal of the Allen Institute for Immunology is to advance the fundamental understanding of human immunology through the study of immune health and disease where excessive or impaired immune responses drive pathological processes.
The Allen Institute for Immunology is seeking a Bioinformatics Data Engineer (Data Scientist) with broad experience in developing computer codes/scripts to automate the analysis of omics data, especially next generation sequencing (NGS) data, to join our Informatics and Computational Biology team.
You will be part of a multidisciplinary team and will be responsible for (i) development and implementation of data processing and analysis software as needed, (ii) assisting in both pipeline and exploratory analysis of data from diverse assays and sample types, (iii) working towards visualizations and reports for internal and external dissemination. As such, ideal candidates should have a good understanding of sequencing technologies, and a proven track record of development of analytical software packages. This role includes analysis and integration of “big data” types, and working in close collaboration with the software development team for deployment on our interactive cloud environment to ensure user accessibility and generation of actionable insights. You will also support technology development projects in collaboration with the Molecular Biology and Immunology teams.
Good judgment and problem-solving skills are required for recognizing anomalous data, identifying and fixing code bugs and participating in data-driven algorithm design and improvement. A successful candidate will have demonstrated success in big data science, code optimization and deployment. The Bioinformatics Data Engineer must have excellent attention to detail and the eagerness to work in a team science, deadline-driven atmosphere.
Design and develop software programs to optimize scRNA-seq, scATAC-seq & CITE-seq processing pipelines and analysis algorithms including PCA and dimensionality reduction
Deploy automated pipelines in our interactive cloud environment with graphical user interface to facilitate user accessibility
Publish codebase or software as part of high impact publications or releases
Integrate multiple data streams for “Big Data” analysis (examples include scRNA-seq, scATAC-seq, flow cytometry, WGS)
Generate interactive data visualizations and work with end users to identify actionable insights
Exploratory data mining
Meet production deadlines for data analysis and be able to pivot between multiple projects
Bachelor's degree in a big data computational field (e.g., Bioinformatics, Computer Science, Biostatistics, Physics, Mathematics) with a minimum of 2 years experience in analyzing omics data.
Demonstrated success in a multidisciplinary team environment.
Good understanding of sequencing technologies, data processing and integrative analysis
Fluency in Java, Python, R and Unix shell scripting.
Experience in Big Data analysis, code optimization & parallel programming. Proven experience with big data analysis technical and languages such as Apache Spark, BigTable, Scala or Rust.
Good knowledge of version control systems such as Git
Strong organizational, teamwork, and communication skills
Attention to detail, and good problem-solving skills
Masters or PhD in Bioinformatics/Computational Biology or similar
Familiarity with immunology
Understanding of Flow Cytometry and CyTOF analysis a plus
Familiarity with cloud computing
Ability to implement, test, and share new computational tools quickly, in an iterative manner, after feedback from experimental, data production, and analysis teams
Excellent work ethic displayed as a reliable, self-motivated, enthusiastic team player
Ability to learn new programming languages and packages
Eager to learn new skills
Working at a computer and using a mouse for extended periods of time
May need to work outside of standard working hours at times
Some travel may be required
This role is currently able to work remotely full-time, this may change and you may be required to work onsite as safety restrictions are lifted in relation to Covid-19. You must be a Washington State resident to work remotely.
We are open to full-time, part-time, and/or contract work for this role. When you apply, please specify which work arrangement you desire. We are flexible.
**Please note, this opportunity does sponsor work visas**
**Please note, this opportunity offers relocation assistance**