Scientist - Computational Genomics

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

Principal contributions are scientific or intellectual, characterized by originality and creativity. Works under the mentorship of an established principal investigator to conduct research in a specific scientific area. Initiates and conducts independent experiments without direct supervision. Develops own research project with the guidance of the principal investigator. Develops new experimental procedures and hypotheses for further investigation. Prepares manuscripts and abstracts for publication. Publishes scientific articles in refereed journals. Collaborates and interacts with other researchers within the institution and at other institutions. Assists in the preparation of scientific publications and research grant proposals. Serves as resource person for colleagues and as a mentor for less experienced research personnel. May manages/supervises other research staff or projects; assists with the management of laboratory operations.

Primary Job Responsibilities

• Lead long-reads methods development and data analysis projects, to implement and improve deep learning toolbox to extract biological information from signals of various long-read platforms.
• Interpret scientific results and submit findings in peer-review journals and present at national or international meetings, prepare and organize preliminary data for grant applications
• Mentor and collaborate with junior members of the research laboratory on scientific development and manuscript preparation

Job Responsibilities (Continued)

• Conducts research of significant scientific value in the basic and/or translational science area(s) relevant to their practice specialty.
• Participates in the design, planning and conduct of one or more experiments.
• Trains technical staff, students, fellows & physicians in lab procedures.
• Monitors daily resource allocations and day-to-day lab personnel activities.
• Composes/Assists in developing publications for peer reviewed, scientific, quality and management, Journals.
• Assists with the submission of applications for grants/contracts for funding of research projects.
• Collaborates with researchers, external agencies and institutions to develop cooperative research initiatives.
• Responsible for appropriate use of research funds.
• May supervise technical staff and students.
• May participate in educational programs and teaching assignments.

Required Education and Experience

Required Education: Terminal degree (MD, PhD, DVM) required. Can be substituted for Masters of Science with 6-8 years of scientifically relevant experience.

Required Experience: 0-2 years of scientifically relevant post-fellowship experience.

Preferred Education, Experience & Cert/Lic

• PhD in Computer Science, Statistics, Bioinformatics, Genetics, Genomics, Biomedical Engineering or a related discipline.
• Good understanding of deep learning algorithms, strong programming skills, and experience in one or more of the following areas: genomics algorithms development, transcriptome analysis, machine learning.
• Strong and genuine interests in human genetics and common complex disease. 
• Two years of working experience with genomic/genetic data analyses are desirable. 

Additional Technical Requirements

• 100% of effort is funded by Principal Investigator(s) grants