Bioinformatics Lead Scientist Job @ GE Global Research,Niskayuna, NY, United States

Bioinformatics Lead Scientist Job

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Posted Position Title:	Bioinformatics Lead Scientist
Career Level:	Experienced
Function:	Engineering/Technology
Function Segment:	Research - Biology
Location:	United States
U.S. State, China or Canada Provinces:	New York
City:	Niskayuna
Postal Code:	12309-1027
Relocation Assistance:	Yes
Role Summary/Purpose:	GE is an equal opportunity employer, offering a great work environment, challenging career opportunities, professional training and competitive compensation.

As a researcher in the Computational Biology & Biostatistics lab, you will be part of a team of 12-15 scientists & engineers at GE GRC – Niskayuna, NY within the Biosignatures & Signal Processing. This organization is focused on research in computational biology, algorithms for novel biomarker discovery, biosignatures & design of next generation molecular diagnostics tests. The Lab partners with GE Healthcare Medical Diagnostics in the area of molecular pathology & diagnostics.

Essential Responsibilities:  You will develop biological and disease computational models of various types with focus on next generation sequencing technologies and multi-omics approaches. You will participate in developing strategies to transition results to GE Healthcare’s product line.

You will:

Provide disease, modeling, and data analysis expertise to develop diagnostic assays.

Determine novel modeling approaches to simulate biological and disease processes.

Define new research areas, and guide the creation of project and grant proposals.

Maintain up-to-date biological knowledge in several disease fields, especially oncology, cardiology and metabolic diseases.

Develop transition strategies for technical work to the clinical environment and to GE Healthcare products

Document results and recommendations through written reports and presentations to a variety of audiences.
Qualifications/Requirements: PhD in Computer Science, Statistics, Biology, Electrical Engineering, Physics, Mathematics or related field.

At least 2 years of post-degree experience research experience in computational biology/bioinformatics/biostatistics – industrial R&D or academia

Experience with Next Gen Data Analytics and building customized data analysis pipelines

Experience in design & development of algorithms for biomarker discovery / molecular diagnostics tests

Experience in Oncology and/or Neurology applications

Strong background in data analysis & statistical modeling of biological data

Strong software engineering skills in bioinformatics, experience working with –omics databases and networks

Proven track record leading complex technical projects

Awareness of global technology trends in the area of medical diagnostics including companion diagnostics, biomarker discovery, next gen sequencing and expression analysis

Demonstrated ability to understand customer needs and industry trends; simplify strategy into specific actions, make decisions, and communicate priorities.

Demonstrated ability to influence at senior levels.

Must be willing to work out of an office located in Niskayuna, NY.

Must be willing to take a drug test and submit to a background investigation as part of the selection process.

Must be 18 years or older.

You must submit your application for employment on the careers page at www.gecareers.com to be considered.
Additional Eligibility Qualifications: GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen.
Desired Characteristics: Experience in design and development of diagnostics tests – going from concept to product Experience in data analysis of expression data – gene expression, protein expression, microRNA, etc Experience in DNA data analysis-variant calling and data interpretation Expertise and knowledge of nuances in the modeling of biological data Experience with government funded grant proposals.